Hongjun Bai
Impact in
- Immunology top 10%
- Complement system in diseases
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
Papers in
-
- Protein Structure and Dynamics 6
- vaccines and immunoinformatics approaches 3
-
- Complement system in diseases 3
- Co-authors
- Luhua Lai (4 shared papers)Kun Yang (2 shared papers)Chao Tang (1 shared paper)Byung Kook Lee (4 shared papers)Qi Ouyang (1 shared paper)Paul N. Barlow (3 shared papers)Daniel Ricklin (3 shared papers)John D. Lambris (3 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (5 papers)Immunobiology (2 papers)PLoS Computational Biology (2 papers)Applied Biochemistry and Biotechnology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Hongjun Bai
20 papers receiving 903 citations
Peers
Comparison fields: 5 of 101
- Immunology 264
- Nephrology 65
- Infectious Diseases 163
- Physiology 37
- Computational Theory and Mathematics 124
Countries citing papers authored by Hongjun Bai
This map shows the geographic impact of Hongjun Bai'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 Hongjun Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongjun Bai more than expected).
Fields of papers citing papers by Hongjun Bai
This network shows the impact of papers produced by Hongjun Bai. 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 Hongjun Bai. The network helps show where Hongjun Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hongjun Bai, 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 | 2008 | 153 | |
| 2 | 2020 | 127 | |
| 3 | 2012 | 119 | |
| 4 | 2013 | 116 | |
| 5 | 2019 | 89 | |
| 6 | 2013 | 75 | |
| 7 | 2007 | 72 | |
| 8 | 2010 | 34 | |
| 9 | 2018 | 22 | |
| 10 | 2013 | 19 | |
| 11 | 2013 | 17 | |
| 12 | 2008 | 13 | |
| 13 | 2008 | 13 | |
| 14 | 2007 | 11 | |
| 15 | 2019 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 1 | |
| 20 | 2012 | 1 |
About Hongjun Bai
Hongjun Bai is a scholar working on Molecular Biology, Immunology, Materials Chemistry, Infectious Diseases and Virology, having authored 20 papers that have together received 910 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (5 papers), HIV Research and Treatment (4 papers), Computational Drug Discovery Methods (3 papers), Complement system in diseases (3 papers), vaccines and immunoinformatics approaches (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Immunology (264 citations), Nephrology (65 citations), Infectious Diseases (163 citations), Physiology (37 citations) and Computational Theory and Mathematics (124 citations). Hongjun Bai has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Luhua Lai, Kun Yang, Chao Tang, Byung Kook Lee, Qi Ouyang, Paul N. Barlow, Daniel Ricklin, John D. Lambris, Chin‐Hsien Tai and Morgane Rolland. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Immunobiology, PLoS Computational Biology, Applied Biochemistry and Biotechnology and The Journal of Immunology.
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.