Jun Ding
Impact in
- Dermatology top 5%
- Dermatology and Skin Diseases
- Immunology top 10%
- Psoriasis: Treatment and Pathogenesis
Papers in ⓘ
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- Cancer, Hypoxia, and Metabolism 6
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- Hepatocellular Carcinoma Treatment and Prognosis 2
- Co-authors
- Cunming Duan (4 shared papers)Rajan P. Nair (3 shared papers)John J. Voorhees (3 shared papers)Jóhann E. Guðjónsson (3 shared papers)Gonçalo R. Abecasis (2 shared papers)Trilokraj Tejasvi (2 shared papers)Travis J. Maures (1 shared paper)Shu Jin Chan (1 shared paper)
- Journals
- Endocrinology (2 papers)Journal of Investigative Dermatology (2 papers)Comparative Biochemistry and Physiology Part D Genomics and Proteomics (1 paper)Patient Preference and Adherence (1 paper)Aging (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Jun Ding
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Dermatology 157
- Immunology 330
- Endocrinology, Diabetes and Metabolism 211
- Cancer Research 176
- Aquatic Science 66
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 | 188 | |
| 2 | 2002 | 144 | |
| 3 | 2009 | 140 | |
| 4 | 1999 | 120 | |
| 5 | 2019 | 77 | |
| 6 | 2013 | 52 | |
| 7 | 2010 | 50 | |
| 8 | 2018 | 43 | |
| 9 | 2021 | 32 | |
| 10 | 2013 | 31 | |
| 11 | 2007 | 30 | |
| 12 | 2013 | 29 | |
| 13 | 2008 | 26 | |
| 14 | 2013 | 22 | |
| 15 | 2022 | 17 | |
| 16 | 2016 | 17 | |
| 17 | 2023 | 15 | |
| 18 | 2020 | 13 | |
| 19 | 2023 | 9 | |
| 20 | 2011 | 8 |
About Jun Ding
Jun Ding is a scholar working on Cancer Research, Hepatology, Dermatology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Dermatology and Skin Diseases (3 papers), RNA modifications and cancer (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Ultrasound and Hyperthermia Applications (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Dermatology (157 citations), Immunology (330 citations), Endocrinology, Diabetes and Metabolism (211 citations), Cancer Research (176 citations) and Aquatic Science (66 citations). Jun Ding has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Cunming Duan, Rajan P. Nair, John J. Voorhees, Jóhann E. Guðjónsson, Gonçalo R. Abecasis, Trilokraj Tejasvi, Travis J. Maures, Shu Jin Chan, Hanshi Sun and Qin Li. Their work appears in journals such as Endocrinology, Journal of Investigative Dermatology, Comparative Biochemistry and Physiology Part D Genomics and Proteomics, Patient Preference and Adherence and Aging.
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.