Jun-Bao Fan
Impact in
- Immunology top 10%
- interferon and immune responses
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
-
- Ubiquitin and proteasome pathways 3
- Pluripotent Stem Cells Research 2
- 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)Ming Yan (8 shared papers)Jie Chen (5 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)PLoS ONE (2 papers)Blood (2 papers)Nature Communications (1 paper)Cell Research (1 paper)
- Partner nations
- United StatesChinaHungary
In The Last Decade
Jun-Bao Fan
26 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Immunology 364
- Physiology 273
- Molecular Biology 640
- Nutrition and Dietetics 107
- Neurology 54
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 158 | |
| 2 | 2017 | 141 | |
| 3 | 2013 | 98 | |
| 4 | 2018 | 90 | |
| 5 | 2009 | 89 | |
| 6 | 2015 | 88 | |
| 7 | 2012 | 88 | |
| 8 | 2009 | 87 | |
| 9 | 2023 | 51 | |
| 10 | 2015 | 46 | |
| 11 | 2020 | 42 | |
| 12 | 2011 | 34 | |
| 13 | 2006 | 34 | |
| 14 | 2011 | 34 | |
| 15 | 2006 | 32 | |
| 16 | 2012 | 24 | |
| 17 | 2012 | 19 | |
| 18 | 2014 | 14 | |
| 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 27 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), Photonic and Optical Devices (5 papers), Semiconductor Lasers and Optical Devices (5 papers), Alzheimer's disease research and treatments (4 papers), Immunotherapy and Immune Responses (4 papers), Ubiquitin and proteasome pathways (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Immunology (364 citations), Physiology (273 citations), Molecular Biology (640 citations), Nutrition and Dietetics (107 citations) and Neurology (54 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, Ming Yan, Jie Chen, Kei‐ichiro Arimoto, Sayuri Miyauchi, Samuel A. Stoner, Zhongying Mo and Jie Chen. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Blood, Nature Communications and Cell Research.
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.