Matt Thomson

1.8k citations
30 papers · 998 · h-index 14

Impact in

  • Aging top 10%
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Single-cell and spatial transcriptomics
    • Gene Regulatory Network Analysis
    • Epigenetics and DNA Methylation
    • Renal and related cancers
    • Genomics and Chromatin Dynamics

Papers in

    • Single-cell and spatial transcriptomics 6
    • Gene Regulatory Network Analysis 5
    • Pluripotent Stem Cells Research 4
    • CRISPR and Genetic Engineering 3
    • Developmental Biology and Gene Regulation 3

Matt Thomson

30 papers receiving 991 citations

Peers

Matt Thomson
Comparison fields: 5 of 116
  • Aging 22
  • Molecular Biology 793
  • Biophysics 57
  • Developmental Neuroscience 33
  • Cell Biology 71
Replace Peter Humphreys with:
Peter Humphreys United Kingdom
Dylan A. Reid United States
Helene Kretzmer Germany
Naomi Moris United Kingdom
Ivana Barbaric United Kingdom
Stavroula Skylaki Switzerland
Carla Mulas United Kingdom
Xuan Zheng China
Johanna Goldmann United States
Linus J. Schumacher United Kingdom
Matt Thomson relative to Peter Humphreys United Kingdom Peter Humphreys's profile →
Citations per field
00.5×
Peter Humphreys · 1×
Citations per year

Countries citing papers authored by Matt Thomson

Since Specialization
Citations

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

Fields of papers citing papers by Matt Thomson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011403
2 201695
3 202067
4 202160
5 201560
6 202246
7 202137
8 202432
9 202425
10 202325
11 202019
12 202319
13 202416
14 201414
15 202313
16 20238
17 20227
18 20057
19 19946
20 20245

About Matt Thomson

Matt Thomson is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Cell Biology and Immunology, having authored 30 papers that have together received 998 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Gene Regulatory Network Analysis (5 papers), Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers), Cellular Mechanics and Interactions (3 papers), Plant and Biological Electrophysiology Studies (3 papers), Developmental Biology and Gene Regulation (3 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Aging (22 citations), Molecular Biology (793 citations), Biophysics (57 citations), Developmental Neuroscience (33 citations) and Cell Biology (71 citations). Matt Thomson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Alexander Meissner, Sharad Ramanathan, Zack Smith, Siyuan Liu, Ling-Nan Zou, Graham Heimberg, Rajat Bhatnagar, Hana El‐Samad, Jake Cornwall-Scoones and David A. Sivak. Their work appears in journals such as Nature Communications, Cell Systems, Cell, Scientific Reports and Nature Machine Intelligence.

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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