Nigel J. Bainton

2.6k citations
17 papers · 2.0k indexed · h-index 14
Topics
Bacterial Genetics and Biotechnology (11 papers)Bacterial biofilms and quorum sensing (6 papers)Antibiotic Resistance in Bacteria (4 papers)

In The Last Decade

Nigel J. Bainton

17 papers receiving 1.9k citations

Peers

Nigel J. Bainton
Comparison fields: 5 of 93
  • Molecular Biology 1.5k
  • Genetics 630
  • Plant Science 525
  • Endocrinology 308
  • Ecology 253
Replace Anne M. L. Barnard with:
Anne M. L. Barnard United Kingdom
K M Gray United States
Neil A. Whitehead United Kingdom
Haim Weinhouse Israel
Susanne B. von Bodman United States
Josephine R. Chandler United States
Stephan Schauder United States
Jinling Xu China
Andrea Hardman United Kingdom
Karin Heurlier United Kingdom
Nigel J. Bainton relative to Anne M. L. Barnard United Kingdom Anne M. L. Barnard's profile →
Citations per field
00.5×1.5×
Anne M. L. Barnard · 1×
Citations per year

Countries citing papers authored by Nigel J. Bainton

Since Specialization
Citations

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

Fields of papers citing papers by Nigel J. Bainton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel J. Bainton. 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 Nigel J. Bainton. The network helps show where Nigel J. Bainton may publish in the future.

Co-authorship network of co-authors of Nigel J. Bainton

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel J. Bainton. A scholar is included among the top collaborators of Nigel J. Bainton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nigel J. Bainton. Nigel J. Bainton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 28
2 13
3 14
4 7
5 47
6 4
7 442
8 137
9 3
10 89
11 169
12 166
13 375
14 64
15 202
16 42
17 209

About Nigel J. Bainton

Nigel J. Bainton is a scholar working on Molecular Medicine, Genetics and Endocrinology, having authored 17 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (11 papers), Bacterial biofilms and quorum sensing (6 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Endocrinology (308 citations), Molecular Medicine (190 citations) and Microbiology (143 citations). Nigel J. Bainton has collaborated with scholars based in United Kingdom, Australia and Denmark. Frequent co-authors include Barrie W. Bycroft, Siri Ram Chhabra, Gordon S.A.B. Stewart, George P. C. Salmond, Paul Williams, Paul Stead, Michael K. Winson, Philip J. Hill, Simon Swift and Susan Jones. Their work appears in journals such as The EMBO Journal, Biochemical Journal and Molecular 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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