Mark E. McDonnell

801 citations
30 papers · 529 · h-index 15

Impact in

Papers in

    • Pharmacological Receptor Mechanisms and Effects 5
    • Receptor Mechanisms and Signaling 3
    • Ion channel regulation and function 3
    • Neuropeptides and Animal Physiology 3
    • Neuroscience and Neuropharmacology Research 2

Mark E. McDonnell

29 papers receiving 513 citations

Peers

Mark E. McDonnell
Comparison fields: 5 of 78
  • Sensory Systems 58
  • Pharmacology 82
  • Oncology 106
  • Organic Chemistry 111
  • Cellular and Molecular Neuroscience 56
Replace Stefania Baraldi with:
Stefania Baraldi Italy
Azza Baraka Egypt
Shigeki Tamura Japan
Kumiko Takeuchi United States
Katsuichi Shuto Japan
James Ficorilli United States
Pedro Besada Spain
Ing‐Jun Chen Taiwan
Laxmikant A. Gharat India
Thomas M. Argentieri United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark E. McDonnell

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. McDonnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. McDonnell. 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 Mark E. McDonnell. The network helps show where Mark E. McDonnell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201994
2 201643
3 200238
4 201228
5 199928
6 199828
7 201026
8 201225
9 201624
10 201224
11 201924
12 200719
13 200318
14 201416
15 201814
16 202012
17 199711
18 199510
19 20009
20 20228

About Mark E. McDonnell

Mark E. McDonnell is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Sensory Systems and Physiology, having authored 30 papers that have together received 529 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Ion Channels and Receptors (6 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Cannabis and Cannabinoid Research (3 papers), Receptor Mechanisms and Signaling (3 papers), Ion channel regulation and function (3 papers), Neuropeptides and Animal Physiology (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Sensory Systems (58 citations), Pharmacology (82 citations), Oncology (106 citations), Organic Chemistry (111 citations) and Cellular and Molecular Neuroscience (56 citations). Mark E. McDonnell has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Allen B. Reitz, Sui‐Po Zhang, Joel Cassel, Adrienne E. Dubin, Scott L. Dax, Venkata Velvadapu, Garry R. Smith, Ellen E. Codd, Sergey O. Ilyin and William A. Kinney. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Tetrahedron Letters, Journal of Molecular Neuroscience 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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