John A. Lees

45 papers receiving 2.0k citations

Hit Papers

Producing polished prokaryotic pangenomes with the Panaroo pipeline 2020 · 576 citations
5762020202620222024100200300400500

Peers

John A. Lees
Comparison fields: 5 of 112
  • Molecular Medicine 352
  • Endocrinology 329
  • Microbiology 322
  • Clinical Biochemistry 178
  • Infectious Diseases 449
Replace Khalil Abudahab with:
Khalil Abudahab United Kingdom
Vítor Borges Portugal
Anthony Underwood United Kingdom
Linda Hoang Canada
Vegard Eldholm Norway
Huaiqi Jing China
Koji Yahara Japan
Jennifer K. Bender Germany
Sophie Octavia Australia
Liam P. Shaw United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by John A. Lees

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John A. Lees Line = papers co-authored together John A. Lees links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2020576
2 2019220
3 2019188
4 2018172
5 2016121
6 201680
7 202172
8 201769
9 201665
10 202063
11 201657
12 201835
13 201930
14 201630
15 201927
16 202026
17 202124
18 201817
19 202116
20 202016

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.

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