Kejun Ying

1.2k total citations · 1 hit paper
16 papers, 205 citations indexed

About

Kejun Ying is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kejun Ying has authored 16 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kejun Ying's work include Epigenetics and DNA Methylation (8 papers), Genetic Associations and Epidemiology (3 papers) and Birth, Development, and Health (3 papers). Kejun Ying is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Genetic Associations and Epidemiology (3 papers) and Birth, Development, and Health (3 papers). Kejun Ying collaborates with scholars based in United States, China and Singapore. Kejun Ying's co-authors include Vadim N. Gladyshev, Mahdi Moqri, Andrei E. Tarkhov, Xia Shen, Steve Horvath, Ake T. Lu, Marie C. Sadler, Zoltán Kutalik, Alexander Tyshkovskiy and Marco Mariotti and has published in prestigious journals such as Chemical Reviews, Nature Medicine and Nature Communications.

In The Last Decade

Kejun Ying

12 papers receiving 201 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Causality-enriched epigenetic age uncouples damage and adaptation

2024 72 citations Kejun Ying, Andrei E. Tarkhov et al. Nature Aging profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kejun Ying United States	7	126	50	37	25	20	16	205
David H. Meyer Germany	6	159 1.3×	57 1.1×	56 1.5×	23 0.9×	13 0.7×	10	243
Daniel Petkovich United States	3	198 1.6×	68 1.4×	55 1.5×	53 2.1×	27 1.4×	3	255
Minhoo Kim United States	9	190 1.5×	23 0.5×	63 1.7×	33 1.3×	12 0.6×	15	340
Leia C. Shuhaibar United States	8	225 1.8×	15 0.3×	26 0.7×	42 1.7×	6 0.3×	8	446
Tsung‐Po Lai United States	10	211 1.7×	47 0.9×	181 4.9×	10 0.4×	15 0.8×	18	384
Paul R. H. J. Timmers United Kingdom	6	73 0.6×	38 0.8×	25 0.7×	47 1.9×	11 0.6×	11	174
Jéssica D. Hense United States	9	67 0.5×	47 0.9×	60 1.6×	26 1.0×	7 0.3×	18	237
William T. Atchley United States	6	58 0.5×	45 0.9×	52 1.4×	26 1.0×	2 0.1×	12	295
Julia Flunkert Germany	5	166 1.3×	17 0.3×	27 0.7×	52 2.1×	14 0.7×	5	187
Christopher Mozsary United States	7	46 0.4×	28 0.6×	104 2.8×	21 0.8×	10 0.5×	7	166

Countries citing papers authored by Kejun Ying

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kejun Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Kejun Ying. A scholar is included among the top collaborators of Kejun Ying based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kejun Ying. Kejun Ying is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

1.

Belsky, Daniel W., Kejun Ying, Mahdi Moqri, et al.. (2025). An unbiased comparison of 14 epigenetic clocks in relation to 174 incident disease outcomes. Nature Communications. 16(1). 11164–11164.

2.

Rutledge, Jarod, Daniel Western, Kejun Ying, et al.. (2025). Disruption of the cerebrospinal fluid–plasma protein balance in cognitive impairment and aging. Nature Medicine. 31(8). 2578–2589. 3 indexed citations

3.

Mitchell, Wayne, et al.. (2025). The 18S rRNA methyltransferase DIMT-1 regulates lifespan in the germline later in life. Nature Communications. 16(1). 6944–6944. 1 indexed citations

4.

Zhang, Odin, Xujun Zhang, Xiaorui Wang, et al.. (2025). Graph Neural Networks in Modern AI-Aided Drug Discovery. Chemical Reviews. 125(20). 10001–10103. 2 indexed citations

5.

Goeminne, Ludger J.E., Anastasiya V. Vladimirova, Alexander Tyshkovskiy, et al.. (2024). Plasma protein-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems. Cell Metabolism. 37(1). 205–222.e6. 22 indexed citations

6.

Ying, Kejun, José Pedro Castro, Anastasia V. Shindyapina, et al.. (2024). Depletion of loss-of-function germline mutations in centenarians reveals longevity genes. Nature Communications. 15(1). 9030–9030.

7.

Tarkhov, Andrei E., Sirui Zhang, Kejun Ying, et al.. (2024). Nature of epigenetic aging from a single-cell perspective. Nature Aging. 4(6). 854–870. 28 indexed citations

8.

Ying, Kejun, Andrei E. Tarkhov, Marie C. Sadler, et al.. (2024). Causality-enriched epigenetic age uncouples damage and adaptation. Nature Aging. 4(2). 231–246. 72 indexed citations breakdown →

9.

Moqri, Mahdi, Andrea Cipriano, Daniel J. Simpson, et al.. (2024). PRC2-AgeIndex as a universal biomarker of aging and rejuvenation. Nature Communications. 15(1). 5956–5956. 22 indexed citations

10.

Ying, Kejun. (2024). Causal inference for epigenetic ageing. Nature Reviews Genetics. 26(1). 3–3.

11.

Liberman, Noa, Maxim V. Gerashchenko, Christiane Zorbas, et al.. (2023). 18S rRNA methyltransferases DIMT1 and BUD23 drive intergenerational hormesis. Molecular Cell. 83(18). 3268–3282.e7. 11 indexed citations

12.

Emmrich, Stephan, Alexandre Trapp, Kejun Ying, et al.. (2022). Characterization of naked mole‐rat hematopoiesis reveals unique stem and progenitor cell patterns and neotenic traits. The EMBO Journal. 41(15). e109694–e109694. 17 indexed citations

13.

Ying, Kejun, Ranran Zhai, Timothy V. Pyrkov, et al.. (2021). Genetic and phenotypic analysis of the causal relationship between aging and COVID-19. SHILAP Revista de lepidopterología. 1(1). 35–35. 20 indexed citations

14.

Li, Ting, Ning Zheng, Zhijian Yang, et al.. (2021). Total genetic contribution assessment across the human genome. Nature Communications. 12(1). 2845–2845. 6 indexed citations

15.

Ying, Kejun, Ranran Zhai, Timothy V. Pyrkov, et al.. (2021). Genetic and Phenotypic Evidence for the Causal Relationship Between Aging and COVID-19. Innovation in Aging. 5(Supplement_1). 330–330. 1 indexed citations

16.

Bitto, Alessandro, Herman Tung, Kejun Ying, et al.. (2019). AGING AND MITOCHONDRIAL DISEASE: SHARED MECHANISMS AND THERAPIES?. Innovation in Aging. 3(Supplement_1). S395–S395.

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.

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