Wei‐Na Jin
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Intracerebral and Subarachnoid Hemorrhage Research
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- RNA regulation and disease 3
- RNA Interference and Gene Delivery 3
- Signaling Pathways in Disease 2
- Neurology 12
- Neuroinflammation and Neurodegeneration Mechanisms 12
- Co-authors
- Fu‐Dong Shi (15 shared papers)Qiang Liu (6 shared papers)Kristofer Wood (4 shared papers)Minshu Li (7 shared papers)Zhiguo Li (3 shared papers)Luc Van Kaer (2 shared papers)Junwei Hao (2 shared papers)Yang Yao (1 shared paper)
- Journals
- Journal of Cerebral Blood Flow & Metabolism (4 papers)Journal of Neuroinflammation (2 papers)Nature Neuroscience (2 papers)Genes to Cells (2 papers)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Wei‐Na Jin
29 papers receiving 975 citations
Peers
Comparison fields: 5 of 88
- Neurology 445
- Developmental Neuroscience 97
- Biological Psychiatry 37
- Immunology 282
- Neurology 159
Countries citing papers authored by Wei‐Na Jin
This map shows the geographic impact of Wei‐Na 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 Wei‐Na Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Na Jin more than expected).
Fields of papers citing papers by Wei‐Na Jin
This network shows the impact of papers produced by Wei‐Na 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 Wei‐Na Jin. The network helps show where Wei‐Na Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Na 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 172 | |
| 2 | 2016 | 130 | |
| 3 | 2020 | 127 | |
| 4 | 2016 | 95 | |
| 5 | 2017 | 81 | |
| 6 | 2015 | 38 | |
| 7 | 2019 | 29 | |
| 8 | 2013 | 26 | |
| 9 | 2014 | 26 | |
| 10 | 2021 | 25 | |
| 11 | 2010 | 24 | |
| 12 | 2011 | 24 | |
| 13 | 2011 | 24 | |
| 14 | 2018 | 20 | |
| 15 | 2012 | 18 | |
| 16 | 2011 | 17 | |
| 17 | 2014 | 16 | |
| 18 | 2011 | 16 | |
| 19 | 2020 | 14 | |
| 20 | 2013 | 14 |
About Wei‐Na Jin
Wei‐Na Jin is a scholar working on Molecular Biology, Neurology, Immunology, Epidemiology and Cancer Research, having authored 31 papers that have together received 983 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Immune Cell Function and Interaction (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), MicroRNA in disease regulation (3 papers), RNA regulation and disease (3 papers), RNA Interference and Gene Delivery (3 papers), Autophagy in Disease and Therapy (3 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Neurology (445 citations), Developmental Neuroscience (97 citations), Biological Psychiatry (37 citations), Immunology (282 citations) and Neurology (159 citations). Wei‐Na Jin has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Fu‐Dong Shi, Qiang Liu, Kristofer Wood, Minshu Li, Zhiguo Li, Luc Van Kaer, Junwei Hao, Yang Yao, Wenyan He and Kaibin Shi. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Journal of Neuroinflammation, Nature Neuroscience, Genes to Cells and European Journal of Medicinal Chemistry.
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.