Nick Thomas

506 citations
15 papers · 387 indexed · h-index 8

Impact in

  • Biophysics top 2%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Image Processing Techniques and Applications

Papers in

    • Cell Image Analysis Techniques 9
    • Advanced Fluorescence Microscopy Techniques 4
    • Image Processing Techniques and Applications 2

Nick Thomas

15 papers receiving 375 citations

Peers

Nick Thomas
Comparison fields: 5 of 64
  • Biophysics 154
  • Media Technology 42
  • Cellular and Molecular Neuroscience 85
  • Molecular Biology 220
  • Computer Vision and Pattern Recognition 63
Replace Liang Ji with:
Liang Ji China
Kwonmoo Lee United States
Cara R. Schiavon United States
Tomáš Vičar Czechia
Michele D’Orazio Italy
Feimo Shen United States
Sylvain Berlemont France
Armen R. Kherlopian United States
Martin Laasmaa Estonia
D O'Connell United States
Nick Thomas relative to Liang Ji China Liang Ji's profile →
Citations per field
00.5×1.5×1.9×
Liang Ji · 1×
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-authorship network

The 17 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

15 of 15 papers shown
#Work
1 201552
2 20143
3 2014121
4 20142
5 200936
6 200899
7 20062
8 20064
9 200611
10 20061
11 200415
12 200316
13 200316
14 20036
15
CELL BASED ASSAYS - seeing the light
20013

About Nick Thomas

Nick Thomas is a scholar working on Biophysics, Media Technology, Molecular Biology, Spectroscopy and Biotechnology, having authored 15 papers that have together received 387 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), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Image Processing Techniques and Applications (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Biophysics (154 citations), Media Technology (42 citations), Cellular and Molecular Neuroscience (85 citations), Molecular Biology (220 citations) and Computer Vision and Pattern Recognition (63 citations). Nick Thomas has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Mike Clements, Jens Rittscher, Badrinath Roysam, Dirk Padfield, Stephen Minger, Ian Goodyer, Simon Stubbs, Gretchen Kiser, Peter Ramm and Theresa L. Giesler. Their work appears in journals such as SLAS DISCOVERY, Cell Cycle, Methods in enzymology on CD-ROM/Methods in enzymology, Toxicological Sciences and Science.

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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