Gary O’Donovan

483 citations
4 papers · 171 · h-index 4

Impact in

    • Click Chemistry and Applications
    • Chemical Synthesis and Analysis
    • Advanced biosensing and bioanalysis techniques
    • RNA and protein synthesis mechanisms
    • Protein Degradation and Inhibitors

Papers in

    • Signaling Pathways in Disease 2
    • Chemical Synthesis and Analysis 1
    • RNA and protein synthesis mechanisms 1
    • Peptidase Inhibition and Analysis 3

Gary O’Donovan

4 papers receiving 158 citations

Peers

Gary O’Donovan
Comparison fields: 5 of 45
  • Organic Chemistry 61
  • Molecular Biology 123
  • Computational Theory and Mathematics 18
  • Parasitology 6
  • Toxicology 3
Replace Shikha Kaushik with:
Shikha Kaushik India
Joanne Kotz United States
Jordan D. Carelli United States
Romain Magnez France
Adam Moyer United States
Yann‐Vaï Le Bihan United Kingdom
C. Hamlett United Kingdom
Kenneth H. Huang Canada
Damien Bosc France
Urszula Uciechowska Germany
Gary O’Donovan relative to Shikha Kaushik India Shikha Kaushik's profile →
Citations per field
00.5×
Shikha Kaushik · 1×
Citations per year

Countries citing papers authored by Gary O’Donovan

Since Specialization
Citations

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

Fields of papers citing papers by Gary O’Donovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown
#Work
1 2022129
2 200924
3 201310
4 20138

About Gary O’Donovan

Gary O’Donovan is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Pharmacy and Radiology, Nuclear Medicine and Imaging, having authored 4 papers that have together received 171 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Neuropeptides and Animal Physiology (2 papers), Signaling Pathways in Disease (2 papers), Oral and gingival health research (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Chemical Synthesis and Analysis (1 paper), Multiple Myeloma Research and Treatments (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Organic Chemistry (61 citations), Molecular Biology (123 citations), Computational Theory and Mathematics (18 citations), Parasitology (6 citations) and Toxicology (3 citations). Gary O’Donovan has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Xiaojie Lu, Carol A. Mulrooney, Nils Jakob Vest Hansen, Letian Kuai, Jörg Scheuermann, Verena B. K. Kunig, Alexander L. Satz, Andreas Brunschweiger, Mark E. Flanagan and Daniel H. Madsen. Their work appears in journals such as Drug Metabolism and Disposition, Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters and Nature Reviews Methods Primers.

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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