Jun Ding
Impact in
- Molecular Biology top 2%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Pluripotent Stem Cells Research
- Single-cell and spatial transcriptomics
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Single-cell and spatial transcriptomics 22
- Epigenetics and DNA Methylation 11
- Machine Learning in Bioinformatics 10
- Gene Regulatory Network Analysis 10
- RNA modifications and cancer 10
- Immunology 17
- Immune cells in cancer 11
- Co-authors
- Yan Xu (11 shared papers)Ling‐Yun Wu (7 shared papers)Gary D. Smith (14 shared papers)Ziv Bar‐Joseph (15 shared papers)Kuo‐Chen Chou (1 shared paper)Xiaoman Li (9 shared papers)Haiyan Hu (9 shared papers)Yi Zhang (13 shared papers)
- Journals
- Frontiers in Nutrition (10 papers)Bioinformatics (5 papers)Nature Communications (5 papers)Fertility and Sterility (4 papers)Biology of Reproduction (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Ding
181 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 177
- Molecular Biology 2.6k
- Cancer Research 444
- Biomedical Engineering 999
- Developmental Neuroscience 70
- Immunology 348
Countries citing papers authored by Jun Ding
This map shows the geographic impact of Jun Ding'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 Jun Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ding more than expected).
Fields of papers citing papers by Jun Ding
This network shows the impact of papers produced by Jun Ding. 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 Jun Ding. The network helps show where Jun Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ding, 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 194 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 366 | |
| 2 | 2010 | 303 | |
| 3 | 2016 | 138 | |
| 4 | 2019 | 120 | |
| 5 | 2019 | 118 | |
| 6 | 2022 | 116 | |
| 7 | 2021 | 113 | |
| 8 | 2007 | 94 | |
| 9 | 2001 | 89 | |
| 10 | 2015 | 86 | |
| 11 | 2017 | 85 | |
| 12 | 2014 | 80 | |
| 13 | 2015 | 78 | |
| 14 | 2015 | 77 | |
| 15 | 2020 | 76 | |
| 16 | 2009 | 74 | |
| 17 | 2015 | 72 | |
| 18 | 2015 | 71 | |
| 19 | 2011 | 71 | |
| 20 | 2014 | 71 |
About Jun Ding
Jun Ding is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Cancer Research and Public Health, Environmental and Occupational Health, having authored 194 papers that have together received 5.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (22 papers), Epigenetics and DNA Methylation (11 papers), MicroRNA in disease regulation (11 papers), Immune cells in cancer (11 papers), Machine Learning in Bioinformatics (10 papers), Gene Regulatory Network Analysis (10 papers), RNA modifications and cancer (10 papers) and Reproductive Biology and Fertility (10 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Cancer Research (444 citations), Biomedical Engineering (999 citations), Developmental Neuroscience (70 citations) and Immunology (348 citations). Jun Ding has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yan Xu, Ling‐Yun Wu, Gary D. Smith, Ziv Bar‐Joseph, Kuo‐Chen Chou, Xiaoman Li, Haiyan Hu, Yi Zhang, Zhongjun J. Wu and Zengsheng Chen. Their work appears in journals such as Frontiers in Nutrition, Bioinformatics, Nature Communications, Fertility and Sterility and Biology of Reproduction.
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.