Martin J. McDermott

1.6k citations
50 papers · 1.3k indexed · h-index 21

Martin J. McDermott

48 papers receiving 1.3k citations

Peers

Martin J. McDermott
Comparison fields: 5 of 102
  • Virology 309
  • Infectious Diseases 440
  • Endocrinology, Diabetes and Metabolism 229
  • Molecular Biology 706
  • Immunology and Allergy 62
Replace Thomas P. Zimmerman with:
Thomas P. Zimmerman United States
Keding Cheng Canada
Maurizio Cianfriglia Italy
Paula E. Scarborough United States
Helmut Ankel United States
Lyndon J. Mitnaul United States
A. S. Rosenthal United States
Gurpreet S. Ahluwalia United States
Craig S. Pace United States
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Citations per field
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Citations per year

Countries citing papers authored by Martin J. McDermott

Since Specialization
Citations

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

Fields of papers citing papers by Martin J. McDermott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin J. McDermott. 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 Martin J. McDermott. The network helps show where Martin J. McDermott may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3
THE INFLUENCE OF HUMAN CAPITAL FACTORS ON FRANCHISING
20183
4
Franchise Business Ownership: A Comparative Study on the Implications of Military Experience on Franchisee Success and Satisfaction
20154
5 201410
6 200565
7 200221
8 20014
9 20005
10 200035
11 200036
12 199914
13 199749
14 199316
15 199368
16 199139
17 19918
18 199027
19 19895
20 198928

About Martin J. McDermott

Martin J. McDermott is a scholar working on Virology, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (9 papers), Hormonal Regulation and Hypertension (8 papers), HIV Research and Treatment (8 papers), Connexins and lens biology (7 papers), Ion Transport and Channel Regulation (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Allergic Rhinitis and Sensitization (4 papers) and Franchising Strategies and Performance (4 papers). The work is most often cited by research in Virology (309 citations), Infectious Diseases (440 citations) and Endocrinology, Diabetes and Metabolism (229 citations). Martin J. McDermott has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Abraham Spector, Tomáš Cihlář, Gabriel Birkuš, S. Swaminathan, Ruiqi Huang, Peter R. C. Gascoyne, Guozheng Yan, Vincent Pigiet, Nilima Kutty and Ruth Wang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

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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