Jinyu Pan
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
-
- Cardiovascular Function and Risk Factors
Papers in
-
- Inflammasome and immune disorders 3
- Surgery 4
- Co-authors
- Fengshuang An (11 shared papers)Dian Liu (9 shared papers)Jingjing Tian (8 shared papers)Tao Jin (3 shared papers)Xuyang Wang (4 shared papers)Mingjun Zhang (3 shared papers)Mingjun Zhang (7 shared papers)Ming Liu (2 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (4 papers)Biochemical and Biophysical Research Communications (3 papers)Coronary Artery Disease (1 paper)PLoS ONE (1 paper)Renal Failure (1 paper)
- Partner nations
- ChinaBangladeshThailand
In The Last Decade
Jinyu Pan
16 papers receiving 595 citations
Peers
Comparison fields: 5 of 64
- Nephrology 48
- Cardiology and Cardiovascular Medicine 124
- Endocrinology, Diabetes and Metabolism 92
- Immunology 98
- Molecular Biology 326
Countries citing papers authored by Jinyu Pan
This map shows the geographic impact of Jinyu 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 Jinyu Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinyu Pan more than expected).
Fields of papers citing papers by Jinyu Pan
This network shows the impact of papers produced by Jinyu 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 Jinyu Pan. The network helps show where Jinyu Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinyu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 160 | |
| 2 | 2019 | 82 | |
| 3 | 2019 | 80 | |
| 4 | 2018 | 76 | |
| 5 | 2018 | 32 | |
| 6 | 2021 | 30 | |
| 7 | 2020 | 28 | |
| 8 | 2020 | 24 | |
| 9 | 2015 | 23 | |
| 10 | 2022 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2016 | 14 | |
| 13 | 2023 | 10 | |
| 14 | 2018 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Jinyu Pan
Jinyu Pan is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 20 papers that have together received 601 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Biomarkers in Disease Mechanisms (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Nephrology (48 citations), Cardiology and Cardiovascular Medicine (124 citations), Endocrinology, Diabetes and Metabolism (92 citations), Immunology (98 citations) and Molecular Biology (326 citations). Jinyu Pan has collaborated with scholars based in China, Bangladesh and Thailand. Frequent co-authors include Fengshuang An, Dian Liu, Jingjing Tian, Tao Jin, Xuyang Wang, Mingjun Zhang, Mingjun Zhang, Xuyang Wang, Ming Liu and Lu Lu. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Biochemical and Biophysical Research Communications, Coronary Artery Disease, PLoS ONE and Renal Failure.
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.