Wayne Harshbarger

510 citations
15 papers · 295 · h-index 8

Impact in

    • Piperaceae Chemical and Biological Studies
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • Glycosylation and Glycoproteins Research
    • Genomics, phytochemicals, and oxidative stress

Papers in

    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 1
    • Influenza Virus Research Studies 3
    • Respiratory viral infections research 2

Wayne Harshbarger

13 papers receiving 285 citations

Peers

Wayne Harshbarger
Comparison fields: 5 of 65
  • Pharmacology 31
  • Molecular Biology 209
  • Oncology 69
  • Cell Biology 36
  • Toxicology 6
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Matthieu Chartier Canada
Palani Kirubakaran India
Thomas Evangelidis Greece
Alison Leed United States
Terence Beghyn France
Lianhu Wei Canada
Walajapet G. Rajeswaran United States
R. B. Lingham United States
Ibolya Leveles Hungary
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Citations per field
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Citations per year

Countries citing papers authored by Wayne Harshbarger

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Harshbarger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015126
2 201672
3 202015
4 202015
5 196915
6 202312
7 201712
8 202111
9 20206
10 20216
11 20242
12
Crystal Structures of Binary and Ternary Complexes of Thymidylate Synthase (ThyA) from Mycobacterium tuberculosis: Insights into Selectivity and Inhibition
20122
13 20251
14 20240
15 20250

About Wayne Harshbarger

Wayne Harshbarger is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Organic Chemistry and Oncology, having authored 15 papers that have together received 295 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Respiratory viral infections research (2 papers), Ubiquitin and proteasome pathways (2 papers), Bartonella species infections research (1 paper), Protein Degradation and Inhibitors (1 paper), Quinazolinone synthesis and applications (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Pharmacology (31 citations), Molecular Biology (209 citations), Oncology (69 citations), Cell Biology (36 citations) and Toxicology (6 citations). Wayne Harshbarger has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include James C. Sacchettini, Kenneth D. Westover, Sudershan Reddy Gondi, Lianbo Li, Yan Liu, Deepak Gurbani, Jarrod A. Marto, John C. Hunter, Durga Udayakumar and Scott B. Ficarro. Their work appears in journals such as eLife, PLoS Pathogens, mAbs, Bioorganic & Medicinal Chemistry and Journal of the American Chemical Society.

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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