Junfa Chen
Impact in
-
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in ⓘ
- Genetics 5
- Chronic Lymphocytic Leukemia Research 3
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 2
- Co-authors
- Xuehua Wen (5 shared papers)Fuquan Fang (2 shared papers)Jing Jin (1 shared paper)Jiali Wen (1 shared paper)Wei Gao (1 shared paper)Yuanyu Wang (2 shared papers)Zhong‐Sheng Zhao (2 shared papers)Cuiyun Wu (4 shared papers)
In The Last Decade
Junfa Chen
33 papers receiving 389 citations
Peers
Comparison fields: 5 of 88
- Hepatology 44
- Health Informatics 7
- Radiology, Nuclear Medicine and Imaging 105
- Critical Care and Intensive Care Medicine 20
- Neurology 31
Countries citing papers authored by Junfa Chen
This map shows the geographic impact of Junfa 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 Junfa Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfa Chen more than expected).
Fields of papers citing papers by Junfa Chen
This network shows the impact of papers produced by Junfa 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 Junfa Chen. The network helps show where Junfa Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfa 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 81 | |
| 2 | 2011 | 37 | |
| 3 | 2021 | 25 | |
| 4 | 2022 | 24 | |
| 5 | 2020 | 24 | |
| 6 | 2022 | 20 | |
| 7 | 2013 | 19 | |
| 8 | 2020 | 17 | |
| 9 | 2017 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2008 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2021 | 6 |
About Junfa Chen
Junfa Chen is a scholar working on Genetics, Hematology, Radiology, Nuclear Medicine and Imaging, Hepatology and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 394 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Renal cell carcinoma treatment (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Retinoids in leukemia and cellular processes (3 papers), Medical Imaging and Pathology Studies (2 papers), Advanced X-ray and CT Imaging (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Hepatology (44 citations), Health Informatics (7 citations), Radiology, Nuclear Medicine and Imaging (105 citations), Critical Care and Intensive Care Medicine (20 citations) and Neurology (31 citations). Junfa Chen has collaborated with scholars based in China and Norway. Frequent co-authors include Xuehua Wen, Fuquan Fang, Jing Jin, Jiali Wen, Wei Gao, Yuanyu Wang, Zhong‐Sheng Zhao, Cuiyun Wu, Xiaodong He and Zhenyu Shu. Their work appears in journals such as Frontiers in Oncology, Medicine, Frontiers in Cellular Neuroscience, BMC Complementary Medicine and Therapies and Journal of Cancer Research and Clinical Oncology.
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.