Jun Pan
Impact in
- Immunology top 10%
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
-
- RNA Interference and Gene Delivery 4
- Circular RNAs in diseases 3
- Oncology 13
- Co-authors
- Jian Huang (14 shared papers)Leyi Zhang (10 shared papers)Jianghua Chen (2 shared papers)Hong Jiang (2 shared papers)Chenghui Yang (9 shared papers)Yu-Cheng Wang (1 shared paper)Weiyue Lu (9 shared papers)Xiao-Ru Huang (1 shared paper)
- Journals
- Frontiers in Cell and Developmental Biology (2 papers)Molecular Pharmaceutics (2 papers)Anti-Cancer Drugs (2 papers)Cancers (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jun Pan
61 papers receiving 1.5k citations
Jun Pan's Hit Papers
Peers
Comparison fields: 5 of 114
- Immunology 354
- Nephrology 115
- Pharmaceutical Science 73
- Cancer Research 151
- Oncology 241
Countries citing papers authored by Jun Pan
This map shows the geographic impact of Jun Pan'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 Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Pan more than expected).
Fields of papers citing papers by Jun Pan
This network shows the impact of papers produced by Jun Pan. 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 Pan. The network helps show where Jun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Pan, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Macrophage-to-Myofibroblast Transition Contributes to Interstitial Fibrosis in Chronic Renal Allograft Injury Hit paper breakdown → | 2017 | 333 |
| 2 | 2021 | 123 | |
| 3 | 2004 | 90 | |
| 4 | 2017 | 78 | |
| 5 | Chronic stress-induced immune dysregulation in cancer: implications for initiation, progression, metastasis, and treatment. | 2020 | 69 |
| 6 | 2020 | 59 | |
| 7 | 2019 | 52 | |
| 8 | 2021 | 51 | |
| 9 | 2020 | 50 | |
| 10 | 2019 | 43 | |
| 11 | 2023 | 37 | |
| 12 | 2019 | 34 | |
| 13 | 2021 | 32 | |
| 14 | 2020 | 27 | |
| 15 | 2018 | 26 | |
| 16 | 2020 | 22 | |
| 17 | 2020 | 22 | |
| 18 | 2019 | 20 | |
| 19 | 2014 | 20 | |
| 20 | 2022 | 19 |
About Jun Pan
Jun Pan is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Surgery, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Inflammatory mediators and NSAID effects (4 papers), Thyroid and Parathyroid Surgery (3 papers), Immune cells in cancer (3 papers), Immune Response and Inflammation (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Immunology (354 citations), Nephrology (115 citations), Pharmaceutical Science (73 citations), Cancer Research (151 citations) and Oncology (241 citations). Jun Pan has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jian Huang, Leyi Zhang, Jianghua Chen, Hong Jiang, Chenghui Yang, Yu-Cheng Wang, Weiyue Lu, Xiao-Ru Huang, Ka‐Fai To and Yingying Wang. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Molecular Pharmaceutics, Anti-Cancer Drugs, Cancers and Oncotarget.
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.