Jin Yan
Impact in
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- Parkinson's Disease Mechanisms and Treatments
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- Neuroscience and Neuropharmacology Research
Papers in
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- Autophagy in Disease and Therapy 6
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- Ubiquitin and proteasome pathways 3
- Histone Deacetylase Inhibitors Research 3
- Ion channel regulation and function 2
- Mitochondrial Function and Pathology 2
- Co-authors
- Michael Lamar Seibenhener (4 shared papers)Jianxiong Jiang (3 shared papers)Marie W. Wooten (3 shared papers)Jorge Moscat (2 shared papers)Maria Teresa Díaz-Meco (2 shared papers)Yifeng Du (3 shared papers)Michael C. Wooten (3 shared papers)William A. Catterall (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)PLoS ONE (2 papers)Molecular and Cellular Neuroscience (1 paper)DNA and Cell Biology (1 paper)Clinical and Experimental Hypertension (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Jin Yan
14 papers receiving 432 citations
Peers
Comparison fields: 5 of 66
- Neurology 69
- Cellular and Molecular Neuroscience 85
- Cell Biology 69
- Molecular Biology 268
- Epidemiology 114
Countries citing papers authored by Jin Yan
This map shows the geographic impact of Jin Yan'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 Jin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Yan more than expected).
Fields of papers citing papers by Jin Yan
This network shows the impact of papers produced by Jin Yan. 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 Jin Yan. The network helps show where Jin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 98 | |
| 2 | 2015 | 80 | |
| 3 | 2014 | 65 | |
| 4 | 2012 | 31 | |
| 5 | 2014 | 28 | |
| 6 | 2014 | 27 | |
| 7 | 2015 | 26 | |
| 8 | 2017 | 17 | |
| 9 | 2013 | 17 | |
| 10 | 2022 | 16 | |
| 11 | Yishen Qingli Heluo Granule in the Treatment of Chronic Kidney Disease: Network Pharmacology Analysis and Experimental Validation | 2022 | 13 |
| 12 | 2023 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 4 |
About Jin Yan
Jin Yan is a scholar working on Epidemiology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Cell Biology, having authored 14 papers that have together received 436 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Ubiquitin and proteasome pathways (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Ion channel regulation and function (2 papers), Mitochondrial Function and Pathology (2 papers), Cellular transport and secretion (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Neurology (69 citations), Cellular and Molecular Neuroscience (85 citations), Cell Biology (69 citations), Molecular Biology (268 citations) and Epidemiology (114 citations). Jin Yan has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Michael Lamar Seibenhener, Jianxiong Jiang, Marie W. Wooten, Jorge Moscat, Maria Teresa Díaz-Meco, Yifeng Du, Michael C. Wooten, William A. Catterall, Venkat Giri Magupalli and Todd Scheuer. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Molecular and Cellular Neuroscience, DNA and Cell Biology and Clinical and Experimental Hypertension.
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.