biology

Weiqi Zhang

Weiqi Zhang is a biology topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Weiqi Zhang rather than just read about it. In short: Weiqi Zhang (Chinese: 张维绮; pinyin: Zhāng Wéiqǐ) is a Chinese scientist specializing in aging and stem cell biology. She is a Principal Investigator at the Beijing Institute of Genomics (BIG) under the Chinese Academy of Sciences (CAS) and the China National Center for Bioinformation (CNCB).

Key takeaways

Weiqi Zhang belongs to biology; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Weiqi Zhang to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Weiqi Zhang from memory before moving on to harder problems.

Reference excerpt

Weiqi Zhang (Chinese: 张维绮; pinyin: Zhāng Wéiqǐ) is a Chinese scientist specializing in aging and stem cell biology. She is a Principal Investigator at the Beijing Institute of Genomics (BIG) under the Chinese Academy of Sciences (CAS) and the China National Center for Bioinformation (CNCB). Her research leverages aging clocks to decode the complex mechanisms of aging and its associated pathologies. Her work ranges from uncovering deep mechanistic drivers and identifying therapeutic targets to developing novel anti-aging strategies, to implementing clinical precision interventions guided by biological age indices. As a corresponding author, she has authored over 100 peer-reviewed articles, including publications in Cell and Nature. Consistently ranked among the World's Top 2% Scientists, her contributions have been recognized twice as China's Top 10 Science Advances and five times as China's Top 10 Life Science Advances.

Education and career Zhang received her Bachelor of Science in Bioengineering from Nanchang University in 2005. She subsequently earned her Ph.D. in Cell biology from Peking University in 2011. Following her doctoral studies, Zhang joined the Institute of Biophysics, Chinese Academy of Sciences, where she worked as a Research Associate (2011–2015), Associate Professor (2015–2016), and Professor (2016–2019). In 2019, she moved to the Beijing Institute of Genomics (BIG), CAS / China National Center for Bioinformation (CNCB), where she currently serves as a Professor. She is also a doctoral supervisor at the University of Chinese Academy of Sciences (UCAS).

Research Her research focuses on the mechanisms and interventions of aging and age-related diseases. For years, she has conducted foundational and translational research centered on the fundamental questions of gerontology: How old are we truly? Why do we age? And how can we age more slowly? Currently, her work is concentrated in three primary areas:

Core Mechanisms of Aging:Utilizing a systems biology approach to uncover the drivers of aging and potential interventions, with a specific focus on epigenetic, immune, and metabolic mechanisms. Biomarkers & Biological Age: Leveraging big data analysis to systematically reveal biomarkers of organ and individual aging. By utilizing cross-age population cohorts and AI-driven computation, she is establishing a comprehensive index system for biological age and early warning protocols for age-related disease risks. Intervention Targets & Clinical Translation: Leveraging functional genomic screening to identify actionable targets for aging. She integrates pharmacogenomics, gene editing, and rejuvenating biology to develop novel anti-aging strategies and actively advances their clinical translation. She frequently collaborates with scientists Guang-Hui Liu and Juan Carlos Izpisua Belmonte.

Affiliations and recognition Zhang is affiliated with several professional societies. She has served as the Vice Chairwoman of the Anti-Aging Branch of the Chinese Society of Gerontology and Geriatrics and is a Member of the Stem Cell Biology Branch of the Chinese Society for Cell Biology. She has received several awards for her contributions to science, including:

Zhong Nanshan Youth Science and Technology Innovation Award Stem Cell Excellence Young Investigator Award

Selected publications Li, Jiaming; Jiang, Beier; Zhang, Wei; Hao, Junwei; Liu, Zhili; Ji, Qianzhao; Zheng, Yandong; Lu, Xiaoyong; Zheng, Zikai; Ma, Shuai; Fan, Yanlin; Gao, Dan-Dan; Hou, Xiao-Wen; Li, Jing; Tang, Jiazhen (9 July 2026). "Multimodal clocks of human aging". Cell. 189 (14): 4489–4511.e31. doi:10.1016/j.cell.2026.04.025. ISSN 0092-8674. PMID 42105758. Ping, Jiale; Qiao, Qin; Gao, Dan-Dan; Li, Yun; Fan, Yanling; Tian, Yutong; Xiong, Muzhao; Zheng, Quan; Jiang, Beier; Li, Jiaming; Huang, Zheng; Tu, Qinxin; Zheng, Zikai; Lu, Xiaoyong; Hu, Yiwen (14 April 2026). "Human immune aging clock identifies RUNX1 as a decelerator of T cell senescence". Immunity. 59 (4): 1039–1057.e11. doi:10.1016/j.immuni.2026.02.007. ISSN 1074-7613. PMID 41985437. Ding Y, Zuo Y, Zhang B, Fan Y, Xu G, Cheng Z, Ma S, Fang S, Tian A, Gao D, Xu X, Wang Q, Jing Y, Jiang M, Xiong M, Li J, Han Z, Sun S, Wang S, He F, Yang J, Qu J, Zhang W, Liu GH (October 2025). "Comprehensive human proteome profiles across a 50-year lifespan reveal aging trajectories and signatures". Cell. 188 (20): 5763–5784.e26. doi:10.1016/j.cell.2025.06.047. PMID 40713952. Fan Y, Zheng Y, Zhang Y, Xu G, Liu C, Hu J, Ji Q, Zhang S, Fang S, Lei J, Li LZ, Wang X, Xu X, Wang C, Wang S, Ma S, Song M, Jiang W, Zhu J, Feng Y, Wang J, Yang Y, Zhu G, Tian XL, Zhang H, Song W, Yang J, Yao Y, Liu GH, Qu J, Zhang W (May 2025). "ARID5A orchestrates cardiac aging and inflammation through MAVS mRNA stabilization". Nat Cardiovasc Res. 4 (5): 602–623. doi:10.1038/s44161-025-00635-z. PMID 40301689. Wang Q, Wang X, Liu B, Ma S, Zhang F, Sun S, Jing Y, Fan Y, Ding Y, Xiong M, Li J, Zhai Q, Zheng Y, Liu C, Xu G, Yang J, Wang S, Ye J, Izpisua Belmonte JC, Qu J, Liu GH, Zhang W (March 2024). "Aging induces region-specific dysregulation of hormone synthesis in the primate adrenal gland". Nat Aging. 4 (3): 396–413. doi:10.1038/s43587-024-00588-1. PMID 38503993. Yang Y, Lu X, Liu N, Ma S, Zhang H, Zhang Z, Yang K, Jiang M, Zheng Z, Qiao Y, Hu Q, Huang Y, Zhang Y, Xiong M, Liu L, Jiang X, Reddy P, Dong X, Xu F, Wang Q, Zhao Q, Lei J, Sun S, Jing Y, Li J, Cai Y, Fan Y, Yan K, Jing Y, Haghani A, Xing M, Zhang X, Zhu G, Song W, Horvath S, Rodriguez Esteban C, Song M, Wang S, Zhao G, Li W, Izpisua Belmonte JC, Qu J, Zhang W, Liu GH (October 2024). "Metformin decelerates aging clock in male monkeys". Cell. 187 (22): 6358–6378.e29. doi:10.1016/j.cell.2024.08.021. PMID 39270656. Sun S, Li J, Wang S, Li J, Ren J, Bao Z, Sun L, Ma X, Zheng F, Ma S, Sun L, Wang M, Yu Y, Ma M, Wang Q, Chen Z, Ma H, Wang X, Wu Z, Zhang H, Yan K, Yang Y, Zhang Y, Zhang S, Lei J, Teng ZQ, Liu CM, Bai G, Wang YJ, Li J, Wang X, Zhao G, Jiang T, Belmonte JC, Qu J, Zhang W, Liu GH (December 2023). "CHIT1-positive microglia drive motor neuron ageing in the primate spinal cord". Nature. 624 (7992): 611–620. doi:10.1038/s41586-023-06783-1. PMID 37907096.

References

External links BIG profile UCAS profile

Worked examples

Example 1 — a first encounter with Weiqi Zhang

Start with the simplest possible case. Write down what Weiqi Zhang claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Weiqi Zhang before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Weiqi Zhang ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Weiqi Zhang

In research: Weiqi Zhang appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Weiqi Zhang in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Weiqi Zhang is common in secondary-school and first-year university syllabi. It links to neighbouring topics Chinese Academy of Sciences, Chinese biologists, Chinese women scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Weiqi Zhang outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Weiqi Zhang in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Weiqi Zhang means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Weiqi Zhang out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Weiqi Zhang in simple terms?

Why does Weiqi Zhang matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Weiqi Zhang?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Weiqi Zhang.