Jin Chen
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Cancer-related molecular mechanisms research 4
- Cancer, Lipids, and Metabolism 3
- Oncology 11
- Co-authors
- Cristen J. Willer (1 shared paper)Ellen M. Schmidt (1 shared paper)Karen Mohlke (1 shared paper)Yanxing Chen (1 shared paper)Wei Zhou (1 shared paper)Ji Zhang (1 shared paper)Qiumeng Zhang (2 shared papers)Wei Lü (2 shared papers)
- Journals
- Nature Immunology (3 papers)Frontiers in Oncology (3 papers)International Journal of Biological Macromolecules (2 papers)Bioorganic Chemistry (2 papers)BMC Public Health (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jin Chen
68 papers receiving 1.2k citations
Jin Chen's Hit Papers
Peers
Comparison fields: 5 of 122
- Infectious Diseases 193
- Hepatology 78
- Nephrology 55
- Oncology 193
- Cancer Research 90
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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 137 | |
| 2 | 2015 | 118 | |
| 3 | 2020 | 96 | |
| 4 | 2018 | 88 | |
| 5 | 2022 | 70 | |
| 6 | Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease Hit paper breakdown → | 2024 | 65 |
| 7 | 2011 | 60 | |
| 8 | 2021 | 50 | |
| 9 | 2022 | 38 | |
| 10 | 2020 | 35 | |
| 11 | 2017 | 34 | |
| 12 | 2018 | 34 | |
| 13 | 2005 | 33 | |
| 14 | 2021 | 25 | |
| 15 | 2020 | 22 | |
| 16 | 2020 | 21 | |
| 17 | 2021 | 21 | |
| 18 | 2014 | 21 | |
| 19 | 2022 | 18 | |
| 20 | Histological classification of microvascular invasion to predict prognosis in intrahepatic cholangiocarcinoma. | 2017 | 17 |
About Jin Chen
Jin Chen is a scholar working on Cancer Research, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Cancer-related molecular mechanisms research (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), COVID-19 Clinical Research Studies (3 papers), Gallbladder and Bile Duct Disorders (3 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Infectious Diseases (193 citations), Hepatology (78 citations), Nephrology (55 citations), Oncology (193 citations) and Cancer Research (90 citations). Jin Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Cristen J. Willer, Ellen M. Schmidt, Karen Mohlke, Yanxing Chen, Wei Zhou, Ji Zhang, Qiumeng Zhang, Wei Lü, Tao Dong and Ushani Rajapaksa. Their work appears in journals such as Nature Immunology, Frontiers in Oncology, International Journal of Biological Macromolecules, Bioorganic Chemistry and BMC Public Health.
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.