Gary Chrebet

1.9k citations
20 papers · 1.6k indexed · 1 hit paper · h-index 18

Gary Chrebet

20 papers receiving 1.5k citations

Hit Papers

A hyper-recombination mutation in S. cerevisiae identifie...4841989202620012013100200300400

Peers

Gary Chrebet
Comparison fields: 5 of 81
  • Infectious Diseases 370
  • Molecular Biology 1.1k
  • Toxicology 36
  • Cell Biology 148
  • Epidemiology 307
Replace Tony R. Hazbun with:
Tony R. Hazbun United States
E. Lucile White United States
Joseph A. Maddry United States
Heather K. Lamb United Kingdom
Anne Gurnett United States
Dominic Hoepfner Switzerland
David Slade United States
Ravishankar Ramachandran India
Renée L. Brost Canada
Sandra J. Darkin‐Rattray United States
Gary Chrebet relative to Tony R. Hazbun United States Tony R. Hazbun's profile →
Citations per field
00.5×1.5×
Tony R. Hazbun · 1×
Citations per year

Countries citing papers authored by Gary Chrebet

Since Specialization
Citations

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

Fields of papers citing papers by Gary Chrebet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200632
2 200629
3 200615
4 200618
5 200618
6 200526
7 2005347
8 200464
9 200439
10 200439
11 200426
12 200423
13 200465
14 200219
15 199352
16 1992179
17 199249
18 199138
19 19911
20
A hyper-recombination mutation in S. cerevisiae identifies a novel eukaryotic topoisomerasebreakdown →
1989484

About Gary Chrebet

Gary Chrebet is a scholar working on Molecular Biology, Physiology and Immunology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (11 papers), Lipid Membrane Structure and Behavior (6 papers), Signaling Pathways in Disease (5 papers), Receptor Mechanisms and Signaling (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Insect Resistance and Genetics (3 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Infectious Diseases (370 citations), Molecular Biology (1.1k citations) and Toxicology (36 citations). Gary Chrebet has collaborated with scholars based in United States. Frequent co-authors include Mark W. Rolfe, Rodney Rothstein, John W. Wallis, Gary Brodsky, Stephen A. Parent, Keith A. Bostian, Nancy R. Morin, Jennifer Nielsen, Ming Jo Hsu and Suzanne Mandala. Their work appears in journals such as Nature, Cell 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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