Luke McNally
Impact in
- Endocrinology top 5%
- Molecular Medicine top 5%
Papers in
-
- Gut microbiota and health 7
- Bacterial biofilms and quorum sensing 3
- Genetics 11
- Evolution and Genetic Dynamics 6
- Co-authors
- Sam P. Brown (11 shared papers)Andrew L. Jackson (6 shared papers)William T. Gibson (3 shared papers)Anthony Welch (3 shared papers)Roman Popat (5 shared papers)Kevin Healy (2 shared papers)Mafalda Viana (3 shared papers)Marvin Whiteley (1 shared paper)
- Journals
- Proceedings of the Royal Society B Biological Sciences (5 papers)Nature Communications (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Virology (3 papers)The ISME Journal (2 papers)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Luke McNally
38 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 166
- Endocrinology 132
- Molecular Medicine 94
- Genetics 513
- Ecology, Evolution, Behavior and Systematics 330
- Ecology 430
Countries citing papers authored by Luke McNally
This map shows the geographic impact of Luke McNally'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 Luke McNally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke McNally more than expected).
Fields of papers citing papers by Luke McNally
This network shows the impact of papers produced by Luke McNally. 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 Luke McNally. The network helps show where Luke McNally may publish in the future.
Co-authors
The 25 scholars most cited alongside Luke McNally, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 321 | |
| 2 | 2015 | 232 | |
| 3 | 1991 | 146 | |
| 4 | 2014 | 132 | |
| 5 | 2017 | 118 | |
| 6 | 2012 | 117 | |
| 7 | 2013 | 109 | |
| 8 | 1993 | 98 | |
| 9 | 2014 | 83 | |
| 10 | 1991 | 77 | |
| 11 | 2015 | 69 | |
| 12 | 2016 | 65 | |
| 13 | 2016 | 61 | |
| 14 | 2012 | 56 | |
| 15 | 1996 | 55 | |
| 16 | 2014 | 53 | |
| 17 | 2021 | 52 | |
| 18 | 2014 | 40 | |
| 19 | 2017 | 38 | |
| 20 | 2021 | 36 |
About Luke McNally
Luke McNally is a scholar working on Molecular Biology, Genetics, Sociology and Political Science, Ecology and Epidemiology, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (8 papers), Gut microbiota and health (7 papers), Evolution and Genetic Dynamics (6 papers), Zoonotic diseases and public health (3 papers), Vibrio bacteria research studies (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Herpesvirus Infections and Treatments (3 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Endocrinology (132 citations), Molecular Medicine (94 citations), Genetics (513 citations), Ecology, Evolution, Behavior and Systematics (330 citations) and Ecology (430 citations). Luke McNally has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Sam P. Brown, Andrew L. Jackson, William T. Gibson, Anthony Welch, Roman Popat, Kevin Healy, Mafalda Viana, Marvin Whiteley, Sophie E. Darch and Apollo Stacy. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Nature Communications, Proceedings of the National Academy of Sciences, Journal of Virology and The ISME Journal.
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.