Jia‐Shu Chen
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Venomous Animal Envenomation and Studies
Papers in
-
- Inflammasome and immune disorders 3
- Biochemical and Structural Characterization 2
- Genetics 9
- Venomous Animal Envenomation and Studies 8
- Glioma Diagnosis and Treatment 8
- Co-authors
- Manish K. Aghi (6 shared papers)Alexander F. Haddad (6 shared papers)Aria Fallah (12 shared papers)H. Westley Phillips (9 shared papers)Jinyue Sun (10 shared papers)Angad Beniwal (3 shared papers)Alexander G. Weil (12 shared papers)Oliver Y. Tang (7 shared papers)
- Journals
- Neurosurgery (6 papers)Bioorganic Chemistry (5 papers)Biochemical Pharmacology (3 papers)Journal of Neurosurgery Pediatrics (3 papers)Epilepsia (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jia‐Shu Chen
68 papers receiving 890 citations
Peers
Comparison fields: 5 of 100
- Nephrology 77
- Genetics 77
- Neurology 95
- Gender Studies 56
- Psychiatry and Mental health 70
Countries citing papers authored by Jia‐Shu Chen
This map shows the geographic impact of Jia‐Shu 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 Jia‐Shu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia‐Shu Chen more than expected).
Fields of papers citing papers by Jia‐Shu Chen
This network shows the impact of papers produced by Jia‐Shu 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 Jia‐Shu Chen. The network helps show where Jia‐Shu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia‐Shu 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 97 | |
| 2 | 2020 | 47 | |
| 3 | 2021 | 41 | |
| 4 | 2023 | 33 | |
| 5 | 2016 | 31 | |
| 6 | 2019 | 31 | |
| 7 | 2019 | 29 | |
| 8 | 2022 | 28 | |
| 9 | 2021 | 26 | |
| 10 | 2005 | 24 | |
| 11 | 2022 | 22 | |
| 12 | 2021 | 22 | |
| 13 | 2023 | 22 | |
| 14 | 2022 | 22 | |
| 15 | 2021 | 21 | |
| 16 | 2019 | 20 | |
| 17 | 2022 | 18 | |
| 18 | 2020 | 18 | |
| 19 | 2019 | 17 | |
| 20 | 2023 | 16 |
About Jia‐Shu Chen
Jia‐Shu Chen is a scholar working on Molecular Biology, Genetics, Psychiatry and Mental health, Genetics and Surgery, having authored 72 papers that have together received 896 indexed citations. Recurring topics across this work include Epilepsy research and treatment (9 papers), Venomous Animal Envenomation and Studies (8 papers), Glioma Diagnosis and Treatment (8 papers), Gout, Hyperuricemia, Uric Acid (7 papers), Blood properties and coagulation (4 papers), Inflammasome and immune disorders (3 papers), Biochemical and Structural Characterization (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Nephrology (77 citations), Genetics (77 citations), Neurology (95 citations), Gender Studies (56 citations) and Psychiatry and Mental health (70 citations). Jia‐Shu Chen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Manish K. Aghi, Alexander F. Haddad, Aria Fallah, H. Westley Phillips, Jinyue Sun, Angad Beniwal, Alexander G. Weil, Oliver Y. Tang, Mu-xuan Wang and Pengxin Qiu. Their work appears in journals such as Neurosurgery, Bioorganic Chemistry, Biochemical Pharmacology, Journal of Neurosurgery Pediatrics and Epilepsia.
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.