Luke McNally
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
- Co-authors
- Sam P. Brown (12 shared papers)Andrew L. Jackson (6 shared papers)William T. Gibson (3 shared papers)Anthony Rogers Welch (3 shared papers)Roman Popat (5 shared papers)Kevin Healy (2 shared papers)Mafalda S. Viana (3 shared papers)Marvin Whiteley (1 shared paper)
- Journals
- Proceedings of the Royal Society B Biological Sciences (5 papers)Proceedings of the National Academy of Sciences (4 papers)Nature Communications (4 papers)Journal of Virology (3 papers)BDJ (3 papers)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Luke McNally
43 papers receiving 3.3k citations
Luke McNally's Hit Papers
Peers
Comparison fields: 5 of 175
- Applied Microbiology and Biotechnology 196
- Molecular Medicine 436
- Pollution 521
- Endocrinology 179
- Ecology 574
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage Hit paper breakdown → | 2019 | 864 |
| 2 | 2013 | 362 | |
| 3 | 2015 | 251 | |
| 4 | 1991 | 162 | |
| 5 | 2014 | 154 | |
| 6 | 2012 | 121 | |
| 7 | 2013 | 120 | |
| 8 | 2017 | 119 | |
| 9 | 1993 | 108 | |
| 10 | 2014 | 92 | |
| 11 | 1991 | 83 | |
| 12 | 2015 | 78 | |
| 13 | 2016 | 67 | |
| 14 | 2016 | 67 | |
| 15 | 2012 | 61 | |
| 16 | 2014 | 60 | |
| 17 | 2021 | 59 | |
| 18 | 1996 | 51 | |
| 19 | 2014 | 42 | |
| 20 | 2017 | 41 |
About Luke McNally
Luke McNally is a scholar working on Genetics, Ecology, Applied Microbiology and Biotechnology, Molecular Medicine and Endocrinology, having authored 45 papers that have together received 3.4k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (10 papers), Gut microbiota and health (7 papers), Evolution and Genetic Dynamics (7 papers), Zoonotic diseases and public health (3 papers), Bacterial Genetics and Biotechnology (3 papers), Bacterial biofilms and quorum sensing (3 papers), Evolutionary Psychology and Human Behavior (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (196 citations), Molecular Medicine (436 citations), Pollution (521 citations), Endocrinology (179 citations) and Ecology (574 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 Rogers Welch, Roman Popat, Kevin Healy, Mafalda S. Viana, Marvin Whiteley, Sophie E. Darch and Apollo Stacy. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Proceedings of the National Academy of Sciences, Nature Communications, Journal of Virology and BDJ.
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.