Jun-Bao Fan
Impact in
- Immunology top 10%
- interferon and immune responses
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
-
- Prion Diseases and Protein Misfolding 3
- Immunology 11
- interferon and immune responses 11
- Immunotherapy and Immune Responses 4
- Co-authors
- Yi Liang (9 shared papers)Dong‐Er Zhang (12 shared papers)Haili Zhu (4 shared papers)Jie Chen (5 shared papers)Ming Yan (8 shared papers)Kei‐ichiro Arimoto (7 shared papers)Sayuri Miyauchi (4 shared papers)Samuel A. Stoner (3 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Blood (2 papers)PLoS ONE (2 papers)SLAS DISCOVERY (1 paper)Journal of Colloid and Interface Science (1 paper)
- Partner nations
- United StatesChinaHungary
In The Last Decade
Jun-Bao Fan
28 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Immunology 366
- Physiology 281
- Molecular Biology 670
- Neurology 66
- Nutrition and Dietetics 117
Countries citing papers authored by Jun-Bao Fan
This map shows the geographic impact of Jun-Bao Fan'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-Bao Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Bao Fan more than expected).
Fields of papers citing papers by Jun-Bao Fan
This network shows the impact of papers produced by Jun-Bao Fan. 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-Bao Fan. The network helps show where Jun-Bao Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Bao Fan, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 156 | |
| 2 | 2017 | 135 | |
| 3 | 2013 | 97 | |
| 4 | 2015 | 87 | |
| 5 | 2018 | 87 | |
| 6 | 2012 | 86 | |
| 7 | 2009 | 86 | |
| 8 | 2009 | 85 | |
| 9 | 2023 | 46 | |
| 10 | 2020 | 42 | |
| 11 | 2015 | 41 | |
| 12 | 2011 | 34 | |
| 13 | 2006 | 34 | |
| 14 | 2011 | 33 | |
| 15 | 2006 | 32 | |
| 16 | 2012 | 24 | |
| 17 | 2012 | 19 | |
| 18 | 2014 | 13 | |
| 19 | 2018 | 10 | |
| 20 | 2008 | 5 |
About Jun-Bao Fan
Jun-Bao Fan is a scholar working on Molecular Biology, Immunology, Oncology, Electrical and Electronic Engineering and Physiology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include interferon and immune responses (11 papers), Cytokine Signaling Pathways and Interactions (7 papers), Semiconductor Lasers and Optical Devices (5 papers), Photonic and Optical Devices (5 papers), Alzheimer's disease research and treatments (4 papers), Immunotherapy and Immune Responses (4 papers), Neurological diseases and metabolism (3 papers) and Prion Diseases and Protein Misfolding (3 papers). The work is most often cited by research in Immunology (366 citations), Physiology (281 citations), Molecular Biology (670 citations), Neurology (66 citations) and Nutrition and Dietetics (117 citations). Jun-Bao Fan has collaborated with scholars based in United States, China and Hungary. Frequent co-authors include Yi Liang, Dong‐Er Zhang, Haili Zhu, Jie Chen, Ming Yan, Kei‐ichiro Arimoto, Sayuri Miyauchi, Samuel A. Stoner, Zhongying Mo and Jie Chen. Their work appears in journals such as Journal of Biological Chemistry, Blood, PLoS ONE, SLAS DISCOVERY and Journal of Colloid and Interface Science.
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.