Eric B. Fauman

11.7k citations
41 papers · 3.4k indexed · 2 hit papers · h-index 25

Eric B. Fauman

39 papers receiving 3.3k citations

Hit Papers

Effector membrane translocation biosensors reveal G prote...145202120262022202450100150200

Peers

Eric B. Fauman
Comparison fields: 5 of 124
  • Molecular Biology 2.5k
  • Toxicology 78
  • Immunology 432
  • Genetics 382
  • Cellular and Molecular Neuroscience 233
Replace Matthias Engel with:
Matthias Engel Germany
Raj Kumar United States
Michelle F. Browner United States
Mario D. Galigniana Argentina
Kenneth H. Pearce United States
Gerald W. Becker United States
Douglas J. Kojetin United States
Kirti Sharma India
Edwin R. Sánchez United States
Yumi Imai United States
Eric B. Fauman relative to Matthias Engel Germany Matthias Engel's profile →
Citations per field
00.5×1.5×
Matthias Engel · 1×
Citations per year

Countries citing papers authored by Eric B. Fauman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eric B. Fauman Line = papers co-authored together Eric B. Fauman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20233
4 202231
5 20227
6
Effector membrane translocation biosensors reveal G protein and βarrestin coupling profiles of 100 therapeutically relevant GPCRsbreakdown →
2022145
7
An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated locibreakdown →
2021223
8 201857
9 2011123
10 2006437
11 2000201
12 200019
13 19966
14 199696
15 199594
16 199528
17 1994334
18 199221
19 1990128
20 1990202

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.

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