Michael N. Gwynn
- Molecular Biology top 5%
- Pharmacology top 1%
- Molecular Medicine top 0.5%
- Infectious Diseases top 2%
- Organic Chemistry top 5%
- Co-authors
- David PayneDavid HolmesDavid L. PomplianoStephen RittenhouseMartin RosenbergKaren IngrahamB.D. BaxAlexander P. Bryant
- Topics
- Antibiotic Resistance in Bacteria (10 papers)Cancer therapeutics and mechanisms (8 papers)Microbial Natural Products and Biosynthesis (7 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Michael N. Gwynn
22 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 2.0k
- Pharmacology 880
- Molecular Medicine 865
- Infectious Diseases 601
- Organic Chemistry 554
Countries citing papers authored by Michael N. Gwynn
This map shows the geographic impact of Michael N. Gwynn'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 Michael N. Gwynn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael N. Gwynn more than expected).
Fields of papers citing papers by Michael N. Gwynn
This network shows the impact of papers produced by Michael N. Gwynn. 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 Michael N. Gwynn. The network helps show where Michael N. Gwynn may publish in the future.
Co-authorship network of co-authors of Michael N. Gwynn
This figure shows the co-authorship network connecting the top 25 collaborators of Michael N. Gwynn. A scholar is included among the top collaborators of Michael N. Gwynn 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 Michael N. Gwynn. Michael N. Gwynn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 16 | |
| 3 | 122 | |
| 4 | 33 | |
| 5 | 24 | |
| 6 | 148 | |
| 7 | Structural basis of quinolone inhibition of type IIA topoisomerases and target-mediated resistance. Nat Struct Mol Biol 17(9): 1152-1153 | 22 |
| 8 | 242 | |
| 9 | 5 | |
| 10 | 57 | |
| 11 | Drugs for bad bugs: confronting the challenges of antibacterial discoverybreakdown → | 1916 |
| 12 | 18 | |
| 13 | 52 | |
| 14 | 39 | |
| 15 | 13 | |
| 16 | 59 | |
| 17 | 67 | |
| 18 | 32 | |
| 19 | 12 | |
| 20 | 10 |
About Michael N. Gwynn
Michael N. Gwynn is a scholar working on Molecular Medicine, Toxicology and Pharmacology, having authored 22 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Cancer therapeutics and mechanisms (8 papers) and Microbial Natural Products and Biosynthesis (7 papers). The work is most often cited by research in Molecular Medicine (865 citations), Pharmacology (880 citations) and Applied Microbiology and Biotechnology (102 citations). Michael N. Gwynn has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include David Payne, David Holmes, David L. Pompliano, Stephen Rittenhouse, Martin Rosenberg, Karen Ingraham, B.D. Bax, Alexander P. Bryant, Andrew Fosberry and Paul Homes. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Nature Reviews Drug Discovery.
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.