Jun Yan
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 7
- Oncology 12
- Cancer-related Molecular Pathways 5
- Cytokine Signaling Pathways and Interactions 4
- Co-authors
- John F. Hancock (5 shared papers)Yi‐Zhong Cai (3 shared papers)Judith M. Greer (14 shared papers)Annette Lane (3 shared papers)Sandrine Roy (3 shared papers)Ann Apolloni (2 shared papers)Judith C. Sluimer (2 shared papers)Qiong Luo (1 shared paper)
In The Last Decade
Jun Yan
77 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 134
- Neurology 260
- Cell Biology 440
- Molecular Biology 1.8k
- Biochemistry 119
- Immunology 397
Countries citing papers authored by Jun Yan
This map shows the geographic impact of Jun 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 Jun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yan more than expected).
Fields of papers citing papers by Jun Yan
This network shows the impact of papers produced by Jun 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 Jun Yan. The network helps show where Jun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 461 | |
| 2 | 2004 | 449 | |
| 3 | 1998 | 399 | |
| 4 | 2006 | 160 | |
| 5 | 2010 | 126 | |
| 6 | 1998 | 120 | |
| 7 | 2008 | 96 | |
| 8 | 1997 | 96 | |
| 9 | 2016 | 88 | |
| 10 | 2008 | 83 | |
| 11 | Nature of G1/S cell cycle checkpoint defect in ataxia-telangiectasia. | 1995 | 81 |
| 12 | 2002 | 77 | |
| 13 | 2012 | 76 | |
| 14 | 2014 | 75 | |
| 15 | 2016 | 71 | |
| 16 | 2009 | 62 | |
| 17 | 2016 | 61 | |
| 18 | 2009 | 58 | |
| 19 | 2011 | 58 | |
| 20 | 2015 | 54 |
About Jun Yan
Jun Yan is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Neurology, having authored 79 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Probability and Risk Models (5 papers), Cancer-related Molecular Pathways (5 papers), Stochastic processes and financial applications (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Traditional Chinese Medicine Analysis (4 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Neurology (260 citations), Cell Biology (440 citations), Molecular Biology (1.8k citations), Biochemistry (119 citations) and Immunology (397 citations). Jun Yan has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include John F. Hancock, Yi‐Zhong Cai, Judith M. Greer, Annette Lane, Sandrine Roy, Ann Apolloni, Judith C. Sluimer, Qiong Luo, Harold Corke and Mei Sun. Their work appears in journals such as Journal of Neuroimmunology, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Life Sciences and Molecular and Cellular Biochemistry.
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.