Jin Yu
Impact in
- Biological Psychiatry top 2%
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 8
- Mitochondrial Function and Pathology 7
- S100 Proteins and Annexins 7
- Physiology 25
- Alzheimer's disease research and treatments 14
- Co-authors
- Mark S. Kindy (49 shared papers)Hong Zhu (19 shared papers)Chaoqin Yu (16 shared papers)Wen Cheng (6 shared papers)Sebastiano Gattoni‐Celli (8 shared papers)Zhexin Ni (6 shared papers)Hong Zhu (5 shared papers)Frederick C. de Beer (5 shared papers)
- Journals
- Journal of Alzheimer s Disease (5 papers)Journal of Biological Chemistry (4 papers)Evidence-based Complementary and Alternative Medicine (4 papers)Journal of Cerebral Blood Flow & Metabolism (3 papers)Cancer Letters (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jin Yu
147 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 138
- Biological Psychiatry 168
- Neurology 527
- Reproductive Medicine 407
- Physiology 1.1k
- Developmental Neuroscience 140
Countries citing papers authored by Jin Yu
This map shows the geographic impact of Jin Yu'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 Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Yu more than expected).
Fields of papers citing papers by Jin Yu
This network shows the impact of papers produced by Jin Yu. 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 Yu. The network helps show where Jin Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Yu, 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 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 271 | |
| 2 | 2001 | 167 | |
| 3 | 2008 | 163 | |
| 4 | 2006 | 154 | |
| 5 | 2000 | 152 | |
| 6 | 2006 | 144 | |
| 7 | 2007 | 136 | |
| 8 | 2002 | 130 | |
| 9 | 2000 | 127 | |
| 10 | 2011 | 117 | |
| 11 | 2020 | 106 | |
| 12 | 2020 | 105 | |
| 13 | 2016 | 104 | |
| 14 | 2016 | 103 | |
| 15 | 2009 | 102 | |
| 16 | 2017 | 101 | |
| 17 | 2013 | 100 | |
| 18 | 2016 | 98 | |
| 19 | 2014 | 93 | |
| 20 | 2012 | 77 |
About Jin Yu
Jin Yu is a scholar working on Molecular Biology, Physiology, Immunology, Oncology and Epidemiology, having authored 153 papers that have together received 5.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Viral Infections and Immunology Research (8 papers), Ovarian function and disorders (8 papers), Viral gastroenteritis research and epidemiology (8 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers), Mitochondrial Function and Pathology (7 papers) and S100 Proteins and Annexins (7 papers). The work is most often cited by research in Biological Psychiatry (168 citations), Neurology (527 citations), Reproductive Medicine (407 citations), Physiology (1.1k citations) and Developmental Neuroscience (140 citations). Jin Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Mark S. Kindy, Hong Zhu, Chaoqin Yu, Wen Cheng, Sebastiano Gattoni‐Celli, Zhexin Ni, Hong Zhu, Frederick C. de Beer, Salim S. El‐Amouri and Phyllis M. Wise. Their work appears in journals such as Journal of Alzheimer s Disease, Journal of Biological Chemistry, Evidence-based Complementary and Alternative Medicine, Journal of Cerebral Blood Flow & Metabolism and Cancer Letters.
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.