James Cotterell

1.2k citations
16 papers · 778 · h-index 12

Impact in

  • Biophysics top 5%
    • Gene Regulatory Network Analysis
    • Developmental Biology and Gene Regulation
    • CRISPR and Genetic Engineering
    • Bioinformatics and Genomic Networks
    • Single-cell and spatial transcriptomics

Papers in

    • Gene Regulatory Network Analysis 5
    • CRISPR and Genetic Engineering 3
    • Advanced biosensing and bioanalysis techniques 2
    • Single-cell and spatial transcriptomics 2
    • Developmental Biology and Gene Regulation 2
    • Evolution and Genetic Dynamics 4

James Cotterell

16 papers receiving 765 citations

Peers

James Cotterell
Comparison fields: 5 of 97
  • Biophysics 72
  • Molecular Biology 564
  • Aging 13
  • Cell Biology 119
  • Genetics 164
Replace Danielle Gélinas with:
Danielle Gélinas United States
Marta Ibañes Spain
Matthew L Speir United States
Virgilio Ponferrada United States
Lea Goentoro United States
Ajeet Pratap Singh Germany
Miriam B. Ginzberg United States
Yann Loe-Mie France
Jessica I. W. Morgan United States
Christopher Buccitelli Germany
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Citations per field
00.5×2.9×
Danielle Gélinas · 1×
Citations per year

Countries citing papers authored by James Cotterell

Since Specialization
Citations

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

Fields of papers citing papers by James Cotterell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010147
2 2010130
3 201491
4 201681
5 200869
6 201562
7 201746
8 201131
9 200631
10 201529
11 201417
12 202016
13 20179
14 20148
15 20136
16 20125

About James Cotterell

James Cotterell is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Oncology and Biophysics, having authored 16 papers that have together received 778 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Evolution and Genetic Dynamics (4 papers), CRISPR and Genetic Engineering (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Single-cell and spatial transcriptomics (2 papers), Neurobiology and Insect Physiology Research (2 papers), Developmental Biology and Gene Regulation (2 papers) and Design Education and Practice (1 paper). The work is most often cited by research in Biophysics (72 citations), Molecular Biology (564 citations), Aging (13 citations), Cell Biology (119 citations) and Genetics (164 citations). James Cotterell has collaborated with scholars based in Spain, United Kingdom and Australia. Frequent co-authors include James Sharpe, Andreea Munteanu, Alexandre Robert‐Moreno, Mark Isalan, Henrik Westerberg, Jim Swoger, Yolanda Schaerli, Magüi Gili, Marit J. Boot and Ronen Schweitzer. Their work appears in journals such as Scientific Reports, PLoS ONE, Molecular Systems Biology, Cell Metabolism and PLoS Biology.

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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