Chad Quinn

1.2k citations
15 papers · 456 · h-index 9

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 2
    • Epigenetics and DNA Methylation 2
    • Bone Metabolism and Diseases 2
    • Click Chemistry and Applications 2

Chad Quinn

15 papers receiving 437 citations

Peers

Chad Quinn
Comparison fields: 5 of 79
  • Cancer Research 110
  • Genetics 61
  • Microbiology 36
  • Molecular Medicine 26
  • Molecular Biology 244
Replace Jennifer A. Jacobsen with:
Jennifer A. Jacobsen United States
S. Lovell United States
Patrick McDevitt United States
Anne M. Strimpler United States
Girija Krishnamurthy United States
Carlo Gallina Italy
Helen R. Josephine United States
Yoshihiro Matsushita Japan
Anzhi Wei United States
Xiujun Liu China
Chad Quinn relative to Jennifer A. Jacobsen United States Jennifer A. Jacobsen's profile →
Citations per field
00.5×5.1×
Jennifer A. Jacobsen · 1×
Citations per year

Countries citing papers authored by Chad Quinn

Since Specialization
Citations

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

Fields of papers citing papers by Chad Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200399
2 201189
3 201365
4 202043
5 200142
6 200431
7 199927
8 199819
9 199310
10 20218
11 20207
12 20116
13 20104
14 20043
15 19993

About Chad Quinn

Chad Quinn is a scholar working on Molecular Biology, Organic Chemistry, Cancer Research, Spectroscopy and Ecology, Evolution, Behavior and Systematics, having authored 15 papers that have together received 456 indexed citations. Recurring topics across this work include Click Chemistry and Applications (2 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (2 papers), Epigenetics and DNA Methylation (2 papers), Bone Metabolism and Diseases (2 papers), Analytical Chemistry and Chromatography (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Fermentation and Sensory Analysis (1 paper). The work is most often cited by research in Cancer Research (110 citations), Genetics (61 citations), Microbiology (36 citations), Molecular Medicine (26 citations) and Molecular Biology (244 citations). Chad Quinn has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Beth Pietrak, Hongwei Qi, Chaya Duraiswami, Benjamin J. Schwartz, Sharon Sweitzer, N.O. Concha, Huizhen Zhao, Walter E. DeWolf, Richard J. Heath and David Payne. Their work appears in journals such as Biochemistry, Journal of Interactive Marketing, Journal of Medicinal Chemistry, Angewandte Chemie International Edition and Biochemical Journal.

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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