Nick Thomas

508 citations
16 papers · 418 · h-index 8

Impact in

Papers in

    • Single-cell and spatial transcriptomics 4
    • Advanced Biosensing Techniques and Applications 3
    • Gene expression and cancer classification 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • CRISPR and Genetic Engineering 1
    • Cell Image Analysis Techniques 9
    • Advanced Fluorescence Microscopy Techniques 4

Nick Thomas

16 papers receiving 393 citations

Peers

Nick Thomas
Comparison fields: 5 of 63
  • Biophysics 153
  • Cellular and Molecular Neuroscience 82
  • Media Technology 41
  • Cardiology and Cardiovascular Medicine 74
  • Molecular Biology 219
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Liang Ji China
D O'Connell United States
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Antti Niemistö United States
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Citations per field
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Citations per year

Countries citing papers authored by Nick Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Nick Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2014130
2 2008104
3 201554
4 200939
5 200320
6 200419
7 200319
8 200611
9 20036
10 20064
11 20143
12
CELL BASED ASSAYS - seeing the light
20013
13 20142
14 20062
15 20161
16 20061

About Nick Thomas

Nick Thomas is a scholar working on Molecular Biology, Biophysics, Media Technology, Spectroscopy and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 418 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (9 papers), Single-cell and spatial transcriptomics (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Advanced Biosensing Techniques and Applications (3 papers), Gene expression and cancer classification (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Image Processing Techniques and Applications (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Biophysics (153 citations), Cellular and Molecular Neuroscience (82 citations), Media Technology (41 citations), Cardiology and Cardiovascular Medicine (74 citations) and Molecular Biology (219 citations). Nick Thomas has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Mike Clements, Badrinath Roysam, Dirk Padfield, Jens Rittscher, Stephen Minger, Ian Goodyer, Simon Stubbs, Peter Ramm, Theresa L. Giesler and Gretchen Kiser. Their work appears in journals such as SLAS DISCOVERY, Cell Cycle, Methods in enzymology on CD-ROM/Methods in enzymology, PLoS ONE and Medical Image Analysis.

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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