Martin J. McDermott
- Molecular Biology top 10%
- Infectious Diseases top 5%
- Virology top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Co-authors
- Abraham SpectorTomáš CihlářGabriel BirkušS. SwaminathanRuiqi HuangPeter R. C. GascoyneGuozheng YanVincent Pigiet
- Topics
- HIV/AIDS drug development and treatment (9 papers)Hormonal Regulation and Hypertension (8 papers)HIV Research and Treatment (8 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Martin J. McDermott
48 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 706
- Infectious Diseases 440
- Virology 309
- Endocrinology, Diabetes and Metabolism 229
- Epidemiology 167
Countries citing papers authored by Martin J. McDermott
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
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 of co-authors of Martin J. McDermott
This figure shows the co-authorship network connecting the top 25 collaborators of Martin J. McDermott. A scholar is included among the top collaborators of Martin J. McDermott based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin J. McDermott. Martin J. McDermott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | THE INFLUENCE OF HUMAN CAPITAL FACTORS ON FRANCHISING | 3 |
| 4 | Franchise Business Ownership: A Comparative Study on the Implications of Military Experience on Franchisee Success and Satisfaction | 4 |
| 5 | 10 | |
| 6 | 65 | |
| 7 | 21 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 35 | |
| 11 | 36 | |
| 12 | 14 | |
| 13 | 49 | |
| 14 | 16 | |
| 15 | 68 | |
| 16 | 39 | |
| 17 | 8 | |
| 18 | 27 | |
| 19 | 5 | |
| 20 | 28 |
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) and HIV Research and Treatment (8 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.