Eric B. Fauman
- Molecular Biology top 2%
- Biochemical and Molecular Research 7
- Bioinformatics and Genomic Networks 7
- Protein Structure and Dynamics 5
- Protein Tyrosine Phosphatases 5
- Toxicology top 2%
- Immunology top 5%
- Genetics top 5%
- Genetic Associations and Epidemiology 10
- Genetic Mapping and Diversity in Plants and Animals 4
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- Enzyme Structure and Function 6
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- Computational Drug Discovery Methods 6
- Co-authors
- Mark A. SaperTimothy AngelottiCharles P. TaylorJeanne A. StuckeyHeidi SchubertJack E. DixonRobert M. StroudJanet Finer-Moore
- Journals
- Biochemistry (4 papers)eLife (3 papers)Proteins Structure Function and Bioinformatics (2 papers)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Eric B. Fauman
39 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 2.5k
- Toxicology 78
- Immunology 432
- Genetics 382
- Cellular and Molecular Neuroscience 233
Countries citing papers authored by Eric B. Fauman
This map shows the geographic impact of Eric B. Fauman'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 Eric B. Fauman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric B. Fauman more than expected).
Fields of papers citing papers by Eric B. Fauman
This network shows the impact of papers produced by Eric B. Fauman. 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 Eric B. Fauman. The network helps show where Eric B. Fauman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric B. Fauman, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 31 | |
| 5 | 2022 | 7 | |
| 6 | Effector membrane translocation biosensors reveal G protein and βarrestin coupling profiles of 100 therapeutically relevant GPCRsbreakdown → | 2022 | 145 |
| 7 | An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated locibreakdown → | 2021 | 223 |
| 8 | 2018 | 57 | |
| 9 | 2011 | 123 | |
| 10 | 2006 | 437 | |
| 11 | 2000 | 201 | |
| 12 | 2000 | 19 | |
| 13 | 1996 | 6 | |
| 14 | 1996 | 96 | |
| 15 | 1995 | 94 | |
| 16 | 1995 | 28 | |
| 17 | 1994 | 334 | |
| 18 | 1992 | 21 | |
| 19 | 1990 | 128 | |
| 20 | 1990 | 202 |
About Eric B. Fauman
Eric B. Fauman is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics, having authored 41 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Biochemical and Molecular Research (7 papers), Bioinformatics and Genomic Networks (7 papers), Enzyme Structure and Function (6 papers), Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (5 papers), Protein Tyrosine Phosphatases (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Toxicology (78 citations) and Immunology (432 citations). Eric B. Fauman has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Mark A. Saper, Timothy Angelotti, Charles P. Taylor, Jeanne A. Stuckey, Heidi Schubert, Jack E. Dixon, Robert M. Stroud, Janet Finer-Moore, Kathy M. Perry and Frank Maley. Their work appears in journals such as Biochemistry, eLife, Proteins Structure Function and Bioinformatics, Human Molecular Genetics and Journal of Biological Chemistry.
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.