Brian G. Pierce
Impact in
- Molecular Biology top 1%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
- Genomics and Chromatin Dynamics
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
- Hepatology 21
- Hepatitis C virus research 20
-
- Monoclonal and Polyclonal Antibodies Research 39
- Co-authors
- Zhiping WengKevin WieheThom VrevenHowook HwangBong‐Hyun KimYuichiro HouraiJulian MintserisRui Yin
- Journals
- Proteins Structure Function and Bioinformatics (14 papers)Journal of Biological Chemistry (6 papers)Nucleic Acids Research (6 papers)Nature Communications (5 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesFranceChina
In The Last Decade
Brian G. Pierce
94 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 4.8k
- Computational Theory and Mathematics 1.1k
- Hepatology 528
- Radiology, Nuclear Medicine and Imaging 1.3k
- Immunology 1.1k
Countries citing papers authored by Brian G. Pierce
This map shows the geographic impact of Brian G. Pierce'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 Brian G. Pierce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian G. Pierce more than expected).
Fields of papers citing papers by Brian G. Pierce
This network shows the impact of papers produced by Brian G. Pierce. 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 Brian G. Pierce. The network helps show where Brian G. Pierce may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian G. Pierce, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 9 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 27 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 15 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 71 | |
| 12 | 2021 | 23 | |
| 13 | 2020 | 50 | |
| 14 | 2020 | 24 | |
| 15 | 2016 | 20 | |
| 16 | 2012 | 67 | |
| 17 | 2012 | 68 | |
| 18 | 2011 | 7 | |
| 19 | 2008 | 206 | |
| 20 | 2005 | 235 |
About Brian G. Pierce
Brian G. Pierce is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Virology, Immunology and Computational Theory and Mathematics, having authored 97 papers that have together received 6.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (39 papers), vaccines and immunoinformatics approaches (21 papers), Hepatitis C virus research (20 papers), T-cell and B-cell Immunology (20 papers), Protein Structure and Dynamics (19 papers), Immune Cell Function and Interaction (17 papers), Computational Drug Discovery Methods (13 papers) and Hepatitis B Virus Studies (12 papers). The work is most often cited by research in Molecular Biology (4.8k citations), Computational Theory and Mathematics (1.1k citations), Hepatology (528 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Immunology (1.1k citations). Brian G. Pierce has collaborated with scholars based in United States, France and China. Frequent co-authors include Zhiping Weng, Kevin Wiehe, Thom Vreven, Howook Hwang, Bong‐Hyun Kim, Yuichiro Hourai, Julian Mintseris, Rui Yin, Ragul Gowthaman and Robert J. Anderson. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Biological Chemistry, Nucleic Acids Research, Nature Communications and Proceedings of the National Academy of Sciences.
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.