Malcolm K. Scott

24 papers receiving 633 citations

Peers

Malcolm K. Scott
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 207
  • Organic Chemistry 246
  • Virology 34
  • Molecular Biology 352
  • Endocrine and Autonomic Systems 31
Replace Jean‐Louis Soulier with:
Jean‐Louis Soulier France
Dai Lu United States
Michael A. Eissenstat United States
Hassan H. Farag Egypt
Benjamin G. Tehan United Kingdom
Michael Voronkov United States
Rudolf Gottschlich Germany
Inna I. Severina Russia
M. Zaoral Czechia
Malcolm K. Scott relative to Jean‐Louis Soulier France Jean‐Louis Soulier's profile →
Citations per field
00.5×4.4×
Jean‐Louis Soulier · 1×
Citations per year

Countries citing papers authored by Malcolm K. Scott

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm K. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm K. Scott. 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 Malcolm K. Scott. The network helps show where Malcolm K. Scott may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003124
2 195398
3 199179
4 200051
5 200342
6 199438
7 199234
8 200230
9 199827
10 198321
11 196921
12 200219
13 198819
14 199518
15 197215
16 201412
17 196811
18 197211
19 196810
20 19999

About Malcolm K. Scott

Malcolm K. Scott is a scholar working on Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience, Surgery and Oncology, having authored 24 papers that have together received 702 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuropeptides and Animal Physiology (4 papers), Chemical Reaction Mechanisms (3 papers), Inorganic and Organometallic Chemistry (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (207 citations), Organic Chemistry (246 citations), Virology (34 citations), Molecular Biology (352 citations) and Endocrine and Autonomic Systems (31 citations). Malcolm K. Scott has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include C. Roland Eddy, Monroe E. Wall, Leo A. Paquette, Allen B. Reitz, Richard P. Shank, Michael J. Kukla, Raymond W. Walker, David Wynick, Tiina P. Iismaa and Ralf Schmidt. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Journal of the American Chemical Society, The Journal of Organic Chemistry and Journal of Neuroscience.

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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