Gary McCort

476 citations
8 papers · 150 · h-index 8

Impact in

Papers in

    • Synthesis and Catalytic Reactions 3
    • Synthesis and Reactivity of Heterocycles 2
    • Cyclopropane Reaction Mechanisms 1
    • Synthesis and Characterization of Heterocyclic Compounds 1
    • Receptor Mechanisms and Signaling 3

Gary McCort

8 papers receiving 141 citations

Peers

Gary McCort
Comparison fields: 5 of 40
  • Organic Chemistry 71
  • Computational Theory and Mathematics 40
  • Toxicology 7
  • Cardiology and Cardiovascular Medicine 23
  • Pharmacology 9
Replace Tsutomu Nagata with:
Tsutomu Nagata Japan
Ahsan Raza United States
Alexandros Vakalopoulos Germany
Andrew Q. Viet United States
Samer Chmait United States
Balpreet Matharu United Kingdom
Piaoyang Sun China
Fernando L. Cavalcanti Spain
Tsing Bau Chen United States
Hayrani Eren Bostancı Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Gary McCort

Since Specialization
Citations

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

Fields of papers citing papers by Gary McCort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Gary McCort, 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 McCort Line = papers co-authored together Gary McCort links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201036
2 201122
3 201119
4 199918
5 200117
6 199214
7 200412
8 200012

About Gary McCort

Gary McCort is a scholar working on Organic Chemistry, Molecular Biology, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine and Physiology, having authored 8 papers that have together received 150 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (3 papers), Synthesis and Catalytic Reactions (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Synthesis and Reactivity of Heterocycles (2 papers), Cyclopropane Reaction Mechanisms (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Synthesis and Characterization of Heterocyclic Compounds (1 paper). The work is most often cited by research in Organic Chemistry (71 citations), Computational Theory and Mathematics (40 citations), Toxicology (7 citations), Cardiology and Cardiovascular Medicine (23 citations) and Pharmacology (9 citations). Gary McCort has collaborated with scholars based in France and Germany. Frequent co-authors include Bodo Scheiper, Henning Steinhagen, Hans Matter, Zsolt Böcskei, Olivier Duclos, Anne‐Marie Galzin, Stephen E. O'Connor, Philip Janiak, Pierre Lainée and Jean‐Marc Herbert. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, European Journal of Pharmacology and Bioorganic & Medicinal Chemistry.

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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