Peter Uetz

16.0k citations
105 papers · 8.8k indexed · 3 hit papers · h-index 38

Peter Uetz

104 papers receiving 8.5k citations

Hit Papers

Conserved patterns of protein interaction in multiple spe...507200020262008201710002.0k3.0k

Peers

Peter Uetz
Comparison fields: 5 of 156
  • Molecular Biology 7.2k
  • Computational Theory and Mathematics 948
  • Ecological Modeling 243
  • Cell Biology 881
  • Aging 60
Replace Itay Mayrose with:
Itay Mayrose Israel
John M. Burke United States
Nick Goldman United Kingdom
Christophe Dessimoz Switzerland
Tal Pupko Israel
Martin J. Lercher Germany
Tiago Antão United Kingdom
Sergey Ovchinnikov United States
Cymon J. Cox Portugal
Michiel de Hoon Japan
Peter Uetz relative to Itay Mayrose Israel Itay Mayrose's profile →
Citations per field
00.5×3.5×
Itay Mayrose · 1×
Citations per year

Countries citing papers authored by Peter Uetz

Since Specialization
Citations

This map shows the geographic impact of Peter Uetz'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 Peter Uetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Uetz more than expected).

Fields of papers citing papers by Peter Uetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Uetz. 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 Peter Uetz. The network helps show where Peter Uetz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Peter Uetz, 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 Peter Uetz Line = papers co-authored together Peter Uetz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20218
2 20202
3 201735
4 20165
5 201517
6 201443
7 201416
8 201321
9 201263
10 201277
11 201121
12 20114
13 201036
14 200869
15 20064
16
Conserved patterns of protein interaction in multiple speciesbreakdown →
2005507
17 2005315
18 200238
19
A network of protein–protein interactions in yeastbreakdown →
2000953
20 200095

About Peter Uetz

Peter Uetz is a scholar working on Ecological Modeling, Molecular Biology and Ecology, having authored 105 papers that have together received 8.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (30 papers), Genomics and Phylogenetic Studies (23 papers), Fungal and yeast genetics research (22 papers), RNA and protein synthesis mechanisms (20 papers), Bacteriophages and microbial interactions (15 papers), Species Distribution and Climate Change (14 papers), Amphibian and Reptile Biology (13 papers) and Protein Structure and Dynamics (12 papers). The work is most often cited by research in Molecular Biology (7.2k citations), Computational Theory and Mathematics (948 citations) and Ecological Modeling (243 citations). Peter Uetz has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Stanley Fields, Benno Schwikowski, Gerard Cagney, Meijia Yang, Traci A. Mansfield, James Knight, Vaibhav A. Narayan, Ying Li, Maithreyan Srinivasan and Daniel Lockshon. Their work appears in journals such as Scientific Reports, Journal of Biological Chemistry, Journal of Bacteriology, Zootaxa and PLoS ONE.

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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