Ping-Min Chen
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
-
- Chronic Kidney Disease and Diabetes 4
- Dialysis and Renal Disease Management 3
- Renal Diseases and Glomerulopathies 2
- Acute Kidney Injury Research 1
-
- Systemic Lupus Erythematosus Research 8
- Co-authors
- George C. Tsokos (4 shared papers)Joseph E. Craft (4 shared papers)Can Cui (2 shared papers)Wen‐Chih Chiang (7 shared papers)Julie F. Cheung (1 shared paper)Tianyang Mao (1 shared paper)Hongyu Zhao (1 shared paper)Martina Damo (1 shared paper)
- Journals
- JCI Insight (2 papers)Science Advances (2 papers)Current Rheumatology Reports (2 papers)Science Translational Medicine (1 paper)Oncotarget (1 paper)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Ping-Min Chen
19 papers receiving 1k citations
Ping-Min Chen's Hit Papers
Peers
Comparison fields: 5 of 70
- Nephrology 247
- Rheumatology 233
- Immunology 232
- Oncology 226
- Transplantation 12
Countries citing papers authored by Ping-Min Chen
This map shows the geographic impact of Ping-Min Chen'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 Ping-Min Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping-Min Chen more than expected).
Fields of papers citing papers by Ping-Min Chen
This network shows the impact of papers produced by Ping-Min Chen. 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 Ping-Min Chen. The network helps show where Ping-Min Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping-Min Chen, 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 | Neoantigen-driven B cell and CD4 T follicular helper cell collaboration promotes anti-tumor CD8 T cell responses Hit paper breakdown → | 2021 | 356 |
| 2 | 2015 | 104 | |
| 3 | 2014 | 93 | |
| 4 | 2021 | 79 | |
| 5 | 2020 | 77 | |
| 6 | 2022 | 71 | |
| 7 | 2021 | 54 | |
| 8 | 2018 | 50 | |
| 9 | 2022 | 34 | |
| 10 | 2014 | 26 | |
| 11 | 2018 | 21 | |
| 12 | 2019 | 19 | |
| 13 | 2023 | 15 | |
| 14 | 2016 | 9 | |
| 15 | 2019 | 9 | |
| 16 | 2017 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2017 | 3 | |
| 19 | 2014 | 1 | |
| 20 | 2026 | 1 |
About Ping-Min Chen
Ping-Min Chen is a scholar working on Nephrology, Rheumatology, Immunology, Oncology and Hematology, having authored 20 papers that have together received 1k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (8 papers), Chronic Kidney Disease and Diabetes (4 papers), Dialysis and Renal Disease Management (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Renal Diseases and Glomerulopathies (2 papers), T-cell and B-cell Immunology (2 papers), Erythropoietin and Anemia Treatment (1 paper) and Acute Kidney Injury Research (1 paper). The work is most often cited by research in Nephrology (247 citations), Rheumatology (233 citations), Immunology (232 citations), Oncology (226 citations) and Transplantation (12 citations). Ping-Min Chen has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include George C. Tsokos, Joseph E. Craft, Can Cui, Wen‐Chih Chiang, Julie F. Cheung, Tianyang Mao, Hongyu Zhao, Martina Damo, Kelli A. Connolly and Brittany Fitzgerald. Their work appears in journals such as JCI Insight, Science Advances, Current Rheumatology Reports, Science Translational Medicine 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.