Stephen P. Diggle

16.3k citations
92 papers · 11.8k indexed · 7 hit papers · h-index 53

Impact in

Papers in

Stephen P. Diggle

88 papers receiving 11.7k citations

Hit Papers

Microbe Profile: Pseudomonas aeruginosa: opportunistic pathogen and lab rat 2019 · 274 citations
2742006202620122019250500750

Peers

Stephen P. Diggle
Comparison fields: 5 of 172
  • Molecular Medicine 2.2k
  • Endocrinology 1.7k
  • Microbiology 960
  • Genetics 4.0k
  • Molecular Biology 8.1k
Replace Lian‐Hui Zhang with:
Lian‐Hui Zhang China
Joseph S. Lam Canada
Jean‐Marc Ghigo France
Miguel Cámara United Kingdom
Laurence G. Rahme United States
Herbert P. Schweizer United States
Pierre Cornélis Belgium
Jan Michiels Belgium
Alain Filloux United Kingdom
Kim Lewis United States
Stephen P. Diggle relative to Lian‐Hui Zhang China Lian‐Hui Zhang's profile →
Citations per field
00.5×1.7×
Lian‐Hui Zhang · 1×
Citations per year

Countries citing papers authored by Stephen P. Diggle

Since Specialization
Citations

This map shows the geographic impact of Stephen P. Diggle'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 Stephen P. Diggle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen P. Diggle more than expected).

Fields of papers citing papers by Stephen P. Diggle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen P. Diggle. 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 Stephen P. Diggle. The network helps show where Stephen P. Diggle may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Stephen P. Diggle, 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 Stephen P. Diggle Line = papers co-authored together Stephen P. Diggle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 202222
4 202115
5 202138
6 202010
7 202033
8 202039
9 2019108
10 201971
11 201727
12 201756
13 201736
14 201723
15 201457
16 2012213
17 2010458
18 2008242
19 2008195
20 2006244

About Stephen P. Diggle

Stephen P. Diggle is a scholar working on Molecular Medicine, Endocrinology, Genetics, Molecular Biology and Periodontics, having authored 92 papers that have together received 11.8k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (63 papers), Bacterial Genetics and Biotechnology (38 papers), Antibiotic Resistance in Bacteria (20 papers), Evolutionary Game Theory and Cooperation (20 papers), Evolution and Genetic Dynamics (17 papers), Vibrio bacteria research studies (13 papers), Bacteriophages and microbial interactions (12 papers) and Cystic Fibrosis Research Advances (8 papers). The work is most often cited by research in Molecular Medicine (2.2k citations), Endocrinology (1.7k citations), Microbiology (960 citations), Genetics (4.0k citations) and Molecular Biology (8.1k citations). Stephen P. Diggle has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Stuart A. West, Ashleigh S. Griffin, Paul Williams, Miguel Cámara, Marvin Whiteley, E. Peter Greenberg, Andy Gardner, Klaus Winzer, Siri Ram Chhabra and Roman Popat. Their work appears in journals such as Microbiology, mBio, Proceedings of the Royal Society B Biological Sciences, Journal of Bacteriology and Nature Reviews Microbiology.

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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