Jinsong Chen
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Environmental Engineering top 2%
Papers in
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- Renal Transplantation Outcomes and Treatments 15
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- Statistical Methods and Bayesian Inference 14
- Statistical Methods and Inference 13
Jinsong Chen
205 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 194
- Transplantation 184
- Environmental Engineering 472
- Media Technology 286
- Statistics and Probability 185
- Nephrology 160
Countries citing papers authored by Jinsong Chen
This map shows the geographic impact of Jinsong 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 Jinsong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinsong Chen more than expected).
Fields of papers citing papers by Jinsong Chen
This network shows the impact of papers produced by Jinsong 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 Jinsong Chen. The network helps show where Jinsong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinsong 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 | 2024 | 3 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 14 | |
| 10 | 2020 | 2 | |
| 11 | 2020 | 15 | |
| 12 | 2018 | 76 | |
| 13 | 2017 | 6 | |
| 14 | 2015 | 29 | |
| 15 | Conversion from Cyclosporine to Tacrolimus in Renal Allograft Recipients with Chronic Allograft Nephropathy: Assessment of Efficacy by Repeated Biopsies | 2015 | 0 |
| 16 | 2013 | 4 | |
| 17 | 2010 | 0 | |
| 18 | 2009 | 11 | |
| 19 | A comparison between Gauss-Newton and Markov chain Monte Carlo basedmethods for inverting spectral induced polarization data for Cole-Coleparameters | 2008 | 1 |
| 20 | [A modified method to isolate and identify the adult mesenchymal stem cells from human bone marrow]. | 2006 | 1 |
About Jinsong Chen
Jinsong Chen is a scholar working on Transplantation, Statistics and Probability, Nephrology, Management Science and Operations Research and Environmental Engineering, having authored 223 papers that have together received 3.7k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (15 papers), Ionosphere and magnetosphere dynamics (15 papers), Statistical Methods and Bayesian Inference (14 papers), Remote Sensing in Agriculture (13 papers), Statistical Methods and Inference (13 papers), Psychometric Methodologies and Testing (12 papers), Renal and Vascular Pathologies (10 papers) and Solar and Space Plasma Dynamics (9 papers). The work is most often cited by research in Transplantation (184 citations), Environmental Engineering (472 citations), Media Technology (286 citations), Statistics and Probability (185 citations) and Nephrology (160 citations). Jinsong Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jimmy de la Torre, Yun Shao, Hui Lin, Zhiyuan Pei, Zhihong Liu, Hui Lin, Huadong Guo, Weiming Wang, Weiwei Lü and Dawen Yang. Their work appears in journals such as International Journal of Remote Sensing, BMC Nephrology, Frontiers in Psychology, PLoS ONE and Remote Sensing.
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.