Kejun Ying
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in ⓘ
-
- Epigenetics and DNA Methylation 8
- Single-cell and spatial transcriptomics 2
- RNA modifications and cancer 2
- Genomics and Chromatin Dynamics 2
- Genetics 5
- Genetic Associations and Epidemiology 3
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Vadim N. Gladyshev (11 shared papers)Mahdi Moqri (6 shared papers)Andrei E. Tarkhov (3 shared papers)Xia Shen (3 shared papers)Steve Horvath (2 shared papers)Ake T. Lu (1 shared paper)Zoltán Kutalik (1 shared paper)Marie C. Sadler (1 shared paper)
- Journals
- Nature Communications (5 papers)Nature Aging (2 papers)Innovation in Aging (2 papers)Cell Metabolism (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Kejun Ying
12 papers receiving 201 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Aging 50
- Biological Psychiatry 7
- Geriatrics and Gerontology 9
- Neuropsychology and Physiological Psychology 3
- Endocrine and Autonomic Systems 13
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
| # | Work | ||
|---|---|---|---|
| 1 | Causality-enriched epigenetic age uncouples damage and adaptation Hit paper breakdown → | 2024 | 72 |
| 2 | 2024 | 28 | |
| 3 | 2024 | 22 | |
| 4 | 2024 | 22 | |
| 5 | 2021 | 20 | |
| 6 | 2022 | 17 | |
| 7 | 2023 | 11 | |
| 8 | 2021 | 6 | |
| 9 | 2025 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2019 | 0 |
About Kejun Ying
Kejun Ying is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Physiology and Aging, having authored 16 papers that have together received 205 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Genetic Associations and Epidemiology (3 papers), Birth, Development, and Health (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Single-cell and spatial transcriptomics (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), RNA modifications and cancer (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Aging (50 citations), Biological Psychiatry (7 citations), Geriatrics and Gerontology (9 citations), Neuropsychology and Physiological Psychology (3 citations) and Endocrine and Autonomic Systems (13 citations). Kejun Ying has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Vadim N. Gladyshev, Mahdi Moqri, Andrei E. Tarkhov, Xia Shen, Steve Horvath, Ake T. Lu, Zoltán Kutalik, Marie C. Sadler, Alexander Tyshkovskiy and Marco Mariotti. Their work appears in journals such as Nature Communications, Nature Aging, Innovation in Aging, Cell Metabolism and The EMBO Journal.
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.