Fa Jin
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracranial Aneurysms: Treatment and Complications
- Intracerebral and Subarachnoid Hemorrhage Research
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- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 3
- Inflammasome and immune disorders 3
-
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 2
- Co-authors
- Chuanzhi Duan (12 shared papers)Haiyan Fan (9 shared papers)Xifeng Li (10 shared papers)Boyang Wei (9 shared papers)Shixing Su (7 shared papers)Xuying He (5 shared papers)Tao Xie (2 shared papers)Wenchao Liu (4 shared papers)
- Journals
- Frontiers in Pharmacology (2 papers)Redox Biology (2 papers)Experimental Neurology (1 paper)Orphanet Journal of Rare Diseases (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- China
In The Last Decade
Fa Jin
25 papers receiving 506 citations
Peers
Comparison fields: 5 of 88
- Neurology 65
- Cancer Research 81
- Neurology 79
- Endocrine and Autonomic Systems 28
- Pharmacology 35
Countries citing papers authored by Fa Jin
This map shows the geographic impact of Fa Jin'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 Fa Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fa Jin more than expected).
Fields of papers citing papers by Fa Jin
This network shows the impact of papers produced by Fa Jin. 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 Fa Jin. The network helps show where Fa Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Fa Jin, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 129 | |
| 2 | 2018 | 58 | |
| 3 | 2011 | 41 | |
| 4 | 2021 | 31 | |
| 5 | 2022 | 25 | |
| 6 | 2022 | 23 | |
| 7 | 2022 | 23 | |
| 8 | MicroRNA-181b blocks gensenoside Rg3-mediated tumor suppression of gallbladder carcinoma by promoting autophagy flux via CREBRF/CREB3 pathway. | 2019 | 23 |
| 9 | 2015 | 22 | |
| 10 | 2023 | 22 | |
| 11 | 2021 | 20 | |
| 12 | 2024 | 16 | |
| 13 | 2017 | 14 | |
| 14 | 2018 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2022 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2016 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 4 |
About Fa Jin
Fa Jin is a scholar working on Molecular Biology, Cancer Research, Surgery, Neurology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 510 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), Inflammasome and immune disorders (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Autophagy in Disease and Therapy (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Neurology (65 citations), Cancer Research (81 citations), Neurology (79 citations), Endocrine and Autonomic Systems (28 citations) and Pharmacology (35 citations). Fa Jin has collaborated with scholars based in China. Frequent co-authors include Chuanzhi Duan, Haiyan Fan, Xifeng Li, Boyang Wei, Shixing Su, Xuying He, Tao Xie, Wenchao Liu, Xin Zhang and Zhipeng Ye. Their work appears in journals such as Frontiers in Pharmacology, Redox Biology, Experimental Neurology, Orphanet Journal of Rare Diseases and Cell Death and Disease.
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.