John A. Lees
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
Papers in ⓘ
- Microbiology 14
- Bacterial Infections and Vaccines 12
- Microbial infections and disease research 3
- Co-authors
- Stephen D. Bentley (21 shared papers)Jukka Corander (12 shared papers)Gerry Tonkin‐Hill (8 shared papers)Simon D. W. Frost (2 shared papers)Jeffrey N. Weiser (6 shared papers)Julian Parkhill (8 shared papers)Rebecca A. Gladstone (6 shared papers)Stephanie W. Lo (4 shared papers)
- Journals
- Microbial Genomics (7 papers)Genome Research (7 papers)Bioinformatics (3 papers)Nature Reviews Microbiology (3 papers)Nature Communications (2 papers)
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
John A. Lees
45 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Medicine 352
- Endocrinology 329
- Microbiology 322
- Clinical Biochemistry 178
- Infectious Diseases 449
Countries citing papers authored by John A. Lees
This map shows the geographic impact of John A. Lees'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 John A. Lees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Lees more than expected).
Fields of papers citing papers by John A. Lees
This network shows the impact of papers produced by John A. Lees. 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 John A. Lees. The network helps show where John A. Lees may publish in the future.
Co-authors
The 25 scholars most cited alongside John A. Lees, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Producing polished prokaryotic pangenomes with the Panaroo pipeline Hit paper breakdown → | 2020 | 576 |
| 2 | 2019 | 220 | |
| 3 | 2019 | 188 | |
| 4 | 2018 | 172 | |
| 5 | 2016 | 121 | |
| 6 | 2016 | 80 | |
| 7 | 2021 | 72 | |
| 8 | 2017 | 69 | |
| 9 | 2016 | 65 | |
| 10 | 2020 | 63 | |
| 11 | 2016 | 57 | |
| 12 | 2018 | 35 | |
| 13 | 2019 | 30 | |
| 14 | 2016 | 30 | |
| 15 | 2019 | 27 | |
| 16 | 2020 | 26 | |
| 17 | 2021 | 24 | |
| 18 | 2018 | 17 | |
| 19 | 2021 | 16 | |
| 20 | 2020 | 16 |
About John A. Lees
John A. Lees is a scholar working on Microbiology, Endocrinology, Epidemiology, Modeling and Simulation and Molecular Medicine, having authored 50 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (20 papers), Pneumonia and Respiratory Infections (19 papers), Bacterial Infections and Vaccines (12 papers), Respiratory viral infections research (5 papers), Evolution and Genetic Dynamics (3 papers), Plant Pathogenic Bacteria Studies (3 papers), Microbial infections and disease research (3 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Molecular Medicine (352 citations), Endocrinology (329 citations), Microbiology (322 citations), Clinical Biochemistry (178 citations) and Infectious Diseases (449 citations). John A. Lees has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Stephen D. Bentley, Jukka Corander, Gerry Tonkin‐Hill, Simon D. W. Frost, Jeffrey N. Weiser, Julian Parkhill, Rebecca A. Gladstone, Stephanie W. Lo, Nicholas J. Croucher and Marco Galardini. Their work appears in journals such as Microbial Genomics, Genome Research, Bioinformatics, Nature Reviews Microbiology and Nature Communications.
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.