Jin Chen
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Drug Discovery top 10%
Papers in
- Genetics 15
- Mesenchymal stem cell research 14
-
- Microfluidic and Bio-sensing Technologies 9
- Biosensors and Analytical Detection 7
- Co-authors
- Ming Jen Tan (15 shared papers)Tuo Li (1 shared paper)Ileana M. Cristea (1 shared paper)Jinquan Cai (6 shared papers)Lianming Liao (6 shared papers)Lianghu Huang (13 shared papers)Ting Yan (1 shared paper)Xiwei Huang (16 shared papers)
- Journals
- Stem Cell Research & Therapy (6 papers)Medicine (4 papers)Cytotherapy (3 papers)The Analyst (3 papers)Sensors and Actuators B Chemical (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jin Chen
243 papers receiving 6.3k citations
Jin Chen's Hit Papers
Peers
Comparison fields: 5 of 135
- Genetics 524
- Drug Discovery 4
- Nephrology 179
- Transplantation 52
- Cancer Research 200
Countries citing papers authored by Jin Chen
This map shows the geographic impact of Jin 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 Jin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Chen more than expected).
Fields of papers citing papers by Jin Chen
This network shows the impact of papers produced by Jin 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 Jin Chen. The network helps show where Jin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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
Showing the 20 most-cited of 251 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Induction Therapy With Autologous Mesenchymal Stem Cells in Living-Related Kidney Transplants Hit paper breakdown → | 2012 | 463 |
| 2 | 2008 | 316 | |
| 3 | 2018 | 270 | |
| 4 | 2013 | 204 | |
| 5 | 2020 | 162 | |
| 6 | 2021 | 159 | |
| 7 | Current advances and challenges in CAR T-Cell therapy for solid tumors: tumor-associated antigens and the tumor microenvironment Hit paper breakdown → | 2023 | 155 |
| 8 | 2015 | 150 | |
| 9 | 2011 | 146 | |
| 10 | 2016 | 131 | |
| 11 | 2019 | 118 | |
| 12 | 2012 | 109 | |
| 13 | 2017 | 106 | |
| 14 | 2017 | 100 | |
| 15 | 2015 | 87 | |
| 16 | 2010 | 83 | |
| 17 | 2018 | 80 | |
| 18 | 2020 | 80 | |
| 19 | 2023 | 75 | |
| 20 | 2015 | 71 |
About Jin Chen
Jin Chen is a scholar working on Genetics, Biomedical Engineering, Oncology, Cancer Research and Immunology, having authored 251 papers that have together received 6.5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (14 papers), Microfluidic and Bio-sensing Technologies (9 papers), Biosensors and Analytical Detection (7 papers), MicroRNA in disease regulation (6 papers), CAR-T cell therapy research (4 papers), Erythropoietin and Anemia Treatment (3 papers), Pancreatic function and diabetes (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Genetics (524 citations), Drug Discovery (4 citations), Nephrology (179 citations), Transplantation (52 citations) and Cancer Research (200 citations). Jin Chen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Ming Jen Tan, Tuo Li, Ileana M. Cristea, Jinquan Cai, Lianming Liao, Lianghu Huang, Ting Yan, Xiwei Huang, Camillo Ricordi and Xiumin Xu. Their work appears in journals such as Stem Cell Research & Therapy, Medicine, Cytotherapy, The Analyst and Sensors and Actuators B Chemical.
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.