Jing‐Dong J. Han
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms 27
- Molecular Biology top 1%
- Single-cell and spatial transcriptomics 21
- Epigenetics and DNA Methylation 21
- Bioinformatics and Genomic Networks 19
- Genomics and Chromatin Dynamics 17
- Pluripotent Stem Cells Research 17
- RNA modifications and cancer 10
- CRISPR and Genetic Engineering 7
- Cancer Research top 2%
- Co-authors
- Nicolas BertinDenis DupuyMichael E. CusickMarc VidalTong HaoYe‐Guang ChenAlbertha J.M. WalhoutFrederick P. Roth
- Journals
- Nature (3 papers)Proceedings of the National Academy of Sciences (5 papers)Nucleic Acids Research (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jing‐Dong J. Han
139 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Aging 688
- Molecular Biology 5.5k
- Cancer Research 762
- Endocrine and Autonomic Systems 248
- Computational Theory and Mathematics 532
Countries citing papers authored by Jing‐Dong J. Han
This map shows the geographic impact of Jing‐Dong J. Han'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 Jing‐Dong J. Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing‐Dong J. Han more than expected).
Fields of papers citing papers by Jing‐Dong J. Han
This network shows the impact of papers produced by Jing‐Dong J. Han. 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 Jing‐Dong J. Han. The network helps show where Jing‐Dong J. Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jing‐Dong J. Han, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 15 | |
| 5 | 2023 | 66 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 38 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 47 | |
| 10 | 2019 | 44 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 22 | |
| 13 | 2017 | 25 | |
| 14 | 2017 | 224 | |
| 15 | 2013 | 75 | |
| 16 | 2013 | 78 | |
| 17 | 2012 | 41 | |
| 18 | 2011 | 78 | |
| 19 | Evidence for dynamically organized modularity in the yeast protein–protein interaction networkbreakdown → | 2004 | 1301 |
| 20 | 2004 | 416 |
About Jing‐Dong J. Han
Jing‐Dong J. Han is a scholar working on Aging, Molecular Biology and Cancer Research, having authored 140 papers that have together received 7.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (27 papers), Single-cell and spatial transcriptomics (21 papers), Epigenetics and DNA Methylation (21 papers), Bioinformatics and Genomic Networks (19 papers), Genomics and Chromatin Dynamics (17 papers), Pluripotent Stem Cells Research (17 papers), RNA modifications and cancer (10 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Aging (688 citations), Molecular Biology (5.5k citations) and Cancer Research (762 citations). Jing‐Dong J. Han has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Nicolas Bertin, Denis Dupuy, Michael E. Cusick, Marc Vidal, Tong Hao, Ye‐Guang Chen, Albertha J.M. Walhout, Frederick P. Roth, Gabriel F. Berriz and Lan V. Zhang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.