Brian G. Pierce

11.5k citations
97 papers · 6.8k indexed · 4 hit papers · h-index 39

Impact in

Papers in

Brian G. Pierce

94 papers receiving 6.7k citations

Hit Papers

Benchmarking AlphaFold for protein complex modeling reveals accuracy determinants 2022 · 195 citations
19520112026201620214008001.2k

Peers

Brian G. Pierce
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
Replace Gilbert Deléage with:
Gilbert Deléage France
Dmitri Beglov United States
Dima Kozakov United States
Christian Wiesmann United States
Pierre Tufféry France
Lim Heo United States
Priscilla L. Yang United States
Gianni Cesareni Italy
M. S. Madhusudhan India
Kevin R. Oldenburg United States
Brian G. Pierce relative to Gilbert Deléage France Gilbert Deléage's profile →
Citations per field
00.5×4.4×
Gilbert Deléage · 1×
Citations per year

Countries citing papers authored by Brian G. Pierce

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Brian G. Pierce Line = papers co-authored together Brian G. Pierce links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20241
5 20249
6 202311
7 202227
8 202213
9 202215
10 20215
11 202171
12 202123
13 202050
14 202024
15 201620
16 201267
17 201268
18 20117
19 2008206
20 2005235

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.

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