Kun Chen
Impact in
- Neurology top 10%
- CNS Lymphoma Diagnosis and Treatment
- Complementary and Manual Therapy top 10%
Papers in
- Neurology 17
- CNS Lymphoma Diagnosis and Treatment 17
-
- Lymphoma Diagnosis and Treatment 8
- Co-authors
- Ming Guan (15 shared papers)Bobin Chen (11 shared papers)Shun Yu (1 shared paper)Kui Zhang (1 shared paper)S. Li (1 shared paper)Jennifer W. Mack (1 shared paper)Maria J. Schymura (1 shared paper)Deborah Schrag (1 shared paper)
- Journals
- Clinica Chimica Acta (4 papers)Scientific Reports (2 papers)Chinese Chemical Letters (2 papers)Cell Communication and Signaling (2 papers)Frontiers in Pediatrics (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kun Chen
69 papers receiving 932 citations
Peers
Comparison fields: 5 of 124
- Neurology 118
- Complementary and Manual Therapy 15
- Cancer Research 102
- Genetics 68
- Pathology and Forensic Medicine 73
Countries citing papers authored by Kun Chen
This map shows the geographic impact of Kun 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 Kun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Chen more than expected).
Fields of papers citing papers by Kun Chen
This network shows the impact of papers produced by Kun 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 Kun Chen. The network helps show where Kun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 85 | |
| 2 | In vitro and in vivo studies of the effect of a Chinese herb medicine on osteoclastic bone resorption. | 1999 | 52 |
| 3 | 2020 | 50 | |
| 4 | 2019 | 47 | |
| 5 | 2019 | 44 | |
| 6 | 2019 | 39 | |
| 7 | 2012 | 34 | |
| 8 | 2019 | 30 | |
| 9 | 2018 | 28 | |
| 10 | 2015 | 27 | |
| 11 | 2020 | 25 | |
| 12 | 2018 | 22 | |
| 13 | 2019 | 22 | |
| 14 | 1997 | 21 | |
| 15 | 2019 | 20 | |
| 16 | 2018 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2015 | 19 | |
| 19 | 2022 | 19 | |
| 20 | 2019 | 19 |
About Kun Chen
Kun Chen is a scholar working on Neurology, Pathology and Forensic Medicine, Molecular Biology, Genetics and Surgery, having authored 77 papers that have together received 956 indexed citations. Recurring topics across this work include CNS Lymphoma Diagnosis and Treatment (17 papers), Lymphoma Diagnosis and Treatment (8 papers), Glioma Diagnosis and Treatment (5 papers), Immune cells in cancer (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Immunotherapy and Immune Responses (3 papers), Semiconductor materials and devices (3 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). The work is most often cited by research in Neurology (118 citations), Complementary and Manual Therapy (15 citations), Cancer Research (102 citations), Genetics (68 citations) and Pathology and Forensic Medicine (73 citations). Kun Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ming Guan, Bobin Chen, Shun Yu, Kui Zhang, S. Li, Jennifer W. Mack, Maria J. Schymura, Deborah Schrag, Francis P. Boscoe and Patrick J. Roohan. Their work appears in journals such as Clinica Chimica Acta, Scientific Reports, Chinese Chemical Letters, Cell Communication and Signaling and Frontiers in Pediatrics.
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.