James D. Bryers

147 total papers · 7.8k total citations
116 papers, 6.0k citations indexed

About

James D. Bryers is a scholar working on Molecular Biology, Biomedical Engineering and Pollution. According to data from OpenAlex, James D. Bryers has authored 116 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 31 papers in Biomedical Engineering and 15 papers in Pollution. Recurrent topics in James D. Bryers's work include Bacterial biofilms and quorum sensing (41 papers), Antimicrobial Peptides and Activities (13 papers) and Polymer Surface Interaction Studies (10 papers). James D. Bryers is often cited by papers focused on Bacterial biofilms and quorum sensing (41 papers), Antimicrobial Peptides and Activities (13 papers) and Polymer Surface Interaction Studies (10 papers). James D. Bryers collaborates with scholars based in United States, Switzerland and China. James D. Bryers's co-authors include Shaoyi Jiang, Shengfu Chen, Gang Cheng, Buddy D. Ratner, Victoria Wagner, Zheng Zhang, William G. Characklis, Hongyan Ma, Hong Xue and Guozhu Li and has published in prestigious journals such as PLoS ONE, Biomaterials and Journal of Molecular Biology.

In The Last Decade

James D. Bryers

113 papers receiving 5.8k citations

Hit Papers

Inhibition of bacterial a... 2007 2026 2013 2019 2007 2008 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James D. Bryers 2.2k 1.6k 1.1k 865 831 116 6.0k
Paul G. Rouxhet 1.5k 0.7× 2.1k 1.3× 1.6k 1.5× 422 0.5× 1.4k 1.6× 198 8.1k
Wen Yang 1.4k 0.6× 1.5k 0.9× 908 0.8× 646 0.7× 587 0.7× 177 5.9k
H.J. Busscher 1.7k 0.7× 1.4k 0.9× 702 0.7× 366 0.4× 275 0.3× 103 5.4k
Jing Yang 1.1k 0.5× 3.0k 1.9× 1.4k 1.3× 731 0.8× 2.0k 2.4× 232 7.6k
Prashant K. Sharma 1.5k 0.7× 1.3k 0.8× 446 0.4× 305 0.4× 451 0.5× 132 4.9k
Hans Elwing 1.7k 0.8× 2.2k 1.4× 2.0k 1.9× 407 0.5× 682 0.8× 144 6.6k
Peter Kingshott 1.3k 0.6× 3.1k 1.9× 2.0k 1.8× 643 0.7× 1.9k 2.3× 188 7.8k
L. F. Melo 1.7k 0.8× 889 0.6× 360 0.3× 547 0.6× 607 0.7× 153 5.4k
Joerg C. Tiller 1.8k 0.8× 1.5k 0.9× 1.1k 1.1× 4.1k 4.7× 1.9k 2.3× 130 7.4k
Liqun Xu 1.4k 0.6× 2.3k 1.5× 1.2k 1.1× 1.3k 1.5× 1.1k 1.4× 211 7.2k

Countries citing papers authored by James D. Bryers

Since Specialization
Citations

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

Fields of papers citing papers by James D. Bryers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Bryers. 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 James D. Bryers. The network helps show where James D. Bryers may publish in the future.

Co-authorship network of co-authors of James D. Bryers

This figure shows the co-authorship network connecting the top 25 collaborators of James D. Bryers. A scholar is included among the top collaborators of James D. Bryers 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 James D. Bryers. James D. Bryers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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