Junjun Ding
Impact in
- Molecular Biology top 2%
- Pluripotent Stem Cells Research
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA Research and Splicing
- Glycosylation and Glycoproteins Research
- Developmental Biology and Gene Regulation
- Genetics top 10%
Papers in
-
- Pluripotent Stem Cells Research 21
- Genomics and Chromatin Dynamics 18
- Nuclear Structure and Function 5
- Epigenetics and DNA Methylation 3
- RNA Research and Splicing 3
- Glycosylation and Glycoproteins Research 2
- Genetics 2
- Mesenchymal stem cell research 2
- Co-authors
- Jianlong Wang (12 shared papers)Fenjie Li (1 shared paper)Francesco Faiola (7 shared papers)Arven Saunders (6 shared papers)Miguel Fidalgo (6 shared papers)Christoph Schaniel (2 shared papers)Ihor R. Lemischka (2 shared papers)Michael Rendl (1 shared paper)
- Journals
- Nature Communications (8 papers)Protein & Cell (4 papers)Stem Cell Reports (3 papers)Cell stem cell (3 papers)Cell Reports (2 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Junjun Ding
46 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 2.2k
- Genetics 88
- Cancer Research 120
- Aging 11
- Oncology 114
Countries citing papers authored by Junjun Ding
This map shows the geographic impact of Junjun 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 Junjun Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjun Ding more than expected).
Fields of papers citing papers by Junjun Ding
This network shows the impact of papers produced by Junjun 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 Junjun Ding. The network helps show where Junjun Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjun 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 462 | |
| 2 | 2013 | 353 | |
| 3 | 2019 | 214 | |
| 4 | 2018 | 167 | |
| 5 | 2011 | 146 | |
| 6 | 2018 | 141 | |
| 7 | 2021 | 118 | |
| 8 | 2012 | 96 | |
| 9 | 2017 | 86 | |
| 10 | 2016 | 81 | |
| 11 | 2015 | 77 | |
| 12 | 2017 | 77 | |
| 13 | 2021 | 76 | |
| 14 | 2016 | 66 | |
| 15 | 2024 | 56 | |
| 16 | 2018 | 55 | |
| 17 | 2020 | 55 | |
| 18 | 2021 | 50 | |
| 19 | 2022 | 50 | |
| 20 | 2017 | 44 |
About Junjun Ding
Junjun Ding is a scholar working on Molecular Biology, Genetics, Physiology, Rehabilitation and Hepatology, having authored 51 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (21 papers), Genomics and Chromatin Dynamics (18 papers), Nuclear Structure and Function (5 papers), Epigenetics and DNA Methylation (3 papers), RNA Research and Splicing (3 papers), Mesenchymal stem cell research (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Genetics (88 citations), Cancer Research (120 citations), Aging (11 citations) and Oncology (114 citations). Junjun Ding has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Jianlong Wang, Fenjie Li, Francesco Faiola, Arven Saunders, Miguel Fidalgo, Christoph Schaniel, Ihor R. Lemischka, Michael Rendl, Su‐Yi Tsai and Henia Darr. Their work appears in journals such as Nature Communications, Protein & Cell, Stem Cell Reports, Cell stem cell and Cell Reports.
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.