Junjun Ding
Impact in
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Pluripotent Stem Cells Research
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Pluripotent Stem Cells Research 14
- Genomics and Chromatin Dynamics 13
- CRISPR and Genetic Engineering 11
- RNA Research and Splicing 10
- Epigenetics and DNA Methylation 7
- Renal and related cancers 6
- Nuclear Structure and Function 4
- RNA and protein synthesis mechanisms 3
- Surgery 4
- Co-authors
- Jianlong Wang (12 shared papers)Fenjie Li (1 shared paper)Francesco Faiola (7 shared papers)Miguel Fidalgo (6 shared papers)Arven Saunders (6 shared papers)Ihor R. Lemischka (2 shared papers)Christoph Schaniel (2 shared papers)Dung‐Fang Lee (1 shared paper)
- Journals
- Nature Communications (5 papers)Protein & Cell (3 papers)Cell Reports (2 papers)Communications Biology (2 papers)Stem Cell Reports (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junjun Ding
36 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.8k
- Cancer Research 311
- Aging 33
- Immunology 142
- Genetics 68
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 434 | |
| 2 | 2013 | 320 | |
| 3 | 2019 | 194 | |
| 4 | 2018 | 144 | |
| 5 | 2011 | 138 | |
| 6 | 2012 | 86 | |
| 7 | 2017 | 77 | |
| 8 | 2016 | 75 | |
| 9 | 2017 | 70 | |
| 10 | 2021 | 64 | |
| 11 | 2016 | 60 | |
| 12 | 2021 | 41 | |
| 13 | 2017 | 40 | |
| 14 | 2022 | 39 | |
| 15 | 2018 | 38 | |
| 16 | 2023 | 18 | |
| 17 | 2012 | 18 | |
| 18 | 2009 | 15 | |
| 19 | 2017 | 14 | |
| 20 | 2023 | 14 |
About Junjun Ding
Junjun Ding is a scholar working on Molecular Biology, Surgery, Genetics, Immunology and Hepatology, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (14 papers), Genomics and Chromatin Dynamics (13 papers), CRISPR and Genetic Engineering (11 papers), RNA Research and Splicing (10 papers), Epigenetics and DNA Methylation (7 papers), Renal and related cancers (6 papers), Nuclear Structure and Function (4 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cancer Research (311 citations), Aging (33 citations), Immunology (142 citations) and Genetics (68 citations). Junjun Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianlong Wang, Fenjie Li, Francesco Faiola, Miguel Fidalgo, Arven Saunders, Ihor R. Lemischka, Christoph Schaniel, Dung‐Fang Lee, Jonathan M. Monk and Betty Chang. Their work appears in journals such as Nature Communications, Protein & Cell, Cell Reports, Communications Biology and Stem 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.