Stephen Payne

765 citations
13 papers · 584 · h-index 10

Impact in

Papers in

    • Gene Regulatory Network Analysis 6
    • Microbial Metabolic Engineering and Bioproduction 2
    • Single-cell and spatial transcriptomics 1
    • Evolution and Genetic Dynamics 3

Stephen Payne

13 papers receiving 555 citations

Peers

Stephen Payne
Comparison fields: 5 of 88
  • Surfaces, Coatings and Films 81
  • Biomedical Engineering 172
  • Molecular Biology 226
  • Genetics 77
  • Biophysics 14
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Jinping Dong United States
Jun-ichi Nishide Japan
Karin Schwibbert Germany
Aditya Aryasomayajula Canada
Peter Dahl United States
Lijiang Hu China
Ruth M. Perry United Kingdom
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Joshua A. Maurer United States
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Stephen Payne

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Payne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Stephen Payne, 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 Payne Line = papers co-authored together Stephen Payne links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1969147
2 201389
3 200978
4 201671
5 200953
6 201640
7 196028
8 198027
9 201125
10 201321
11 20242
12 20112
13 20091

About Stephen Payne

Stephen Payne is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Sociology and Political Science and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 584 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Evolution and Genetic Dynamics (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Molecular Communication and Nanonetworks (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Occupational and environmental lung diseases (2 papers), Single-cell and spatial transcriptomics (1 paper) and Advanced Nanomaterials in Catalysis (1 paper). The work is most often cited by research in Surfaces, Coatings and Films (81 citations), Biomedical Engineering (172 citations), Molecular Biology (226 citations), Genetics (77 citations) and Biophysics (14 citations). Stephen Payne has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Lingchong You, John R. Hollahan, Richard Falb, Yangxiaolu Cao, Bochong Li, Marc D. Ryser, Hao Song, Meagan Gray, Robert J. McCunney and Peter Morfeld. Their work appears in journals such as Journal of Occupational and Environmental Medicine, Journal of Applied Polymer Science, RSC Advances, Advances in biochemical engineering, biotechnology and Biotechnology Journal.

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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