Kejun Ying
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
Papers in
- Aging 16
- Genetics, Aging, and Longevity in Model Organisms 16
-
- Telomeres, Telomerase, and Senescence 7
- Co-authors
- Vadim N. Gladyshev (14 shared papers)Mahdi Moqri (10 shared papers)Andrei E. Tarkhov (3 shared papers)Xia Shen (3 shared papers)Alexander Tyshkovskiy (6 shared papers)Steve Horvath (2 shared papers)Ake Tzu-Hui Lu (1 shared paper)Zoltán Kutalik (1 shared paper)
- Journals
- Nature Aging (7 papers)Nature Communications (6 papers)Nature Medicine (2 papers)GeroScience (1 paper)Aging (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Kejun Ying
27 papers receiving 691 citations
Kejun Ying's Hit Papers
Peers
Comparison fields: 5 of 88
- Aging 252
- Geriatrics and Gerontology 54
- Neuropsychology and Physiological Psychology 28
- Physiology 145
- Molecular Biology 293
Countries citing papers authored by Kejun Ying
This map shows the geographic impact of Kejun Ying's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kejun Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejun Ying more than expected).
Fields of papers citing papers by Kejun Ying
This network shows the impact of papers produced by Kejun Ying. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kejun Ying. The network helps show where Kejun Ying may publish in the future.
Co-authors
The 25 scholars most cited alongside Kejun Ying, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Validation of biomarkers of aging Hit paper breakdown → | 2024 | 207 |
| 2 | Causality-enriched epigenetic age uncouples damage and adaptation Hit paper breakdown → | 2024 | 119 |
| 3 | 2024 | 57 | |
| 4 | 2024 | 45 | |
| 5 | 2024 | 34 | |
| 6 | 2024 | 28 | |
| 7 | 2024 | 28 | |
| 8 | 2025 | 27 | |
| 9 | 2021 | 25 | |
| 10 | 2018 | 18 | |
| 11 | 2025 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2023 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2024 | 13 | |
| 16 | 2024 | 11 | |
| 17 | 2025 | 10 | |
| 18 | 2025 | 10 | |
| 19 | 2021 | 6 | |
| 20 | 2024 | 6 |
About Kejun Ying
Kejun Ying is a scholar working on Aging, Physiology, Molecular Biology, Genetics and Computational Theory and Mathematics, having authored 33 papers that have together received 720 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Epigenetics and DNA Methylation (11 papers), Telomeres, Telomerase, and Senescence (7 papers), Genetic Associations and Epidemiology (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Computational Drug Discovery Methods (2 papers), Barrier Structure and Function Studies (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Aging (252 citations), Geriatrics and Gerontology (54 citations), Neuropsychology and Physiological Psychology (28 citations), Physiology (145 citations) and Molecular Biology (293 citations). Kejun Ying has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Vadim N. Gladyshev, Mahdi Moqri, Andrei E. Tarkhov, Xia Shen, Alexander Tyshkovskiy, Steve Horvath, Ake Tzu-Hui Lu, Zoltán Kutalik, Marie C. Sadler and Ludger J.E. Goeminne. Their work appears in journals such as Nature Aging, Nature Communications, Nature Medicine, GeroScience and Aging.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.