Jun Ding
Impact in
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis
-
- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 3
- Liver physiology and pathology 1
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- Growth Hormone and Insulin-like Growth Factors 4
- Co-authors
- Cunming Duan (4 shared papers)John J. Voorhees (3 shared papers)Rajan P. Nair (3 shared papers)Johann Eli Gudjonsson (3 shared papers)James T. Elder (3 shared papers)Trilokraj Tejasvi (2 shared papers)Gonçalo R. Abecasis (2 shared papers)Shu Jin Chan (1 shared paper)
- Journals
- Endocrinology (2 papers)Journal of Investigative Dermatology (2 papers)Surgery (1 paper)Oncotarget (1 paper)Journal of drug targeting (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Jun Ding
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Immunology 320
- Endocrinology, Diabetes and Metabolism 217
- Hepatology 83
- Physiology 31
- Aquatic Science 48
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 209 | |
| 2 | 2009 | 161 | |
| 3 | 2002 | 148 | |
| 4 | 1999 | 121 | |
| 5 | 2019 | 80 | |
| 6 | 2013 | 54 | |
| 7 | 2010 | 51 | |
| 8 | 2018 | 44 | |
| 9 | 2021 | 36 | |
| 10 | 2007 | 35 | |
| 11 | 2013 | 35 | |
| 12 | 2013 | 35 | |
| 13 | 2013 | 35 | |
| 14 | 2008 | 28 | |
| 15 | 2013 | 25 | |
| 16 | 2022 | 23 | |
| 17 | 2023 | 23 | |
| 18 | 2016 | 17 | |
| 19 | 2020 | 13 | |
| 20 | 2024 | 12 |
About Jun Ding
Jun Ding is a scholar working on Hepatology, Endocrinology, Diabetes and Metabolism, Immunology, Oncology and Biomedical Engineering, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Personality Disorders and Psychopathology (2 papers), Cancer, Hypoxia, and Metabolism (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Immunology (320 citations), Endocrinology, Diabetes and Metabolism (217 citations), Hepatology (83 citations), Physiology (31 citations) and Aquatic Science (48 citations). Jun Ding has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Cunming Duan, John J. Voorhees, Rajan P. Nair, Johann Eli Gudjonsson, James T. Elder, Trilokraj Tejasvi, Gonçalo R. Abecasis, Shu Jin Chan, Hanshi Sun and Bin Xu. Their work appears in journals such as Endocrinology, Journal of Investigative Dermatology, Surgery, Oncotarget and Journal of drug targeting.
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.