Kaya J.E. Matson

2.7k total citations · 1 hit paper
9 papers, 994 citations indexed

About

Kaya J.E. Matson is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, Kaya J.E. Matson has authored 9 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Neurology and 2 papers in Cell Biology. Recurrent topics in Kaya J.E. Matson's work include Single-cell and spatial transcriptomics (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Immune cells in cancer (2 papers). Kaya J.E. Matson is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Immune cells in cancer (2 papers). Kaya J.E. Matson collaborates with scholars based in United States, Switzerland and Canada. Kaya J.E. Matson's co-authors include Ariel J. Levine, Grégoire Courtine, Anupama Sathyamurthy, Claudia Kathe, Jordan W. Squair, Michael A. Skinnider, Matthieu Gautier, Quentin Barraud, Thomas H. Hutson and Mark A. Anderson and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Endocrinology.

In The Last Decade

Kaya J.E. Matson

9 papers receiving 992 citations

Hit Papers

Confronting false discoveries in single-cell differential... 2021 2026 2022 2024 2021 100 200 300

Peers

Kaya J.E. Matson
Comparison fields: 5 of 92
  • Molecular Biology 560
  • Cellular and Molecular Neuroscience 190
  • Neurology 170
  • Immunology 153
  • Physiology 132
Replace Claudia Kathe with:
Claudia Kathe Switzerland
Marcus Keatinge United Kingdom
Ryan Insolera United States
Magdalena Dziembowska Poland
Abdelhak Belmadani United States
Matthew Swire United Kingdom
Tanjew Dittgen Germany
Aki Itoh United States
Panagiotis Douvaras United States
Tsukasa Sanosaka Japan
Claudia Kathe Switzerland View profile →
Citations per field, relative to Kaya J.E. Matson
Kaya J.E. Matson · 1×
Citations per year, relative to Kaya J.E. Matson
Kaya J.E. Matson · 1×

Countries citing papers authored by Kaya J.E. Matson

Since Specialization
Citations

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

Fields of papers citing papers by Kaya J.E. Matson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaya J.E. Matson. 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 Kaya J.E. Matson. The network helps show where Kaya J.E. Matson may publish in the future.

Co-authorship network of co-authors of Kaya J.E. Matson

This figure shows the co-authorship network connecting the top 25 collaborators of Kaya J.E. Matson. A scholar is included among the top collaborators of Kaya J.E. Matson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaya J.E. Matson. Kaya J.E. Matson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 52
2
Confronting false discoveries in single-cell differential expression breakdown →
376
3 129
4 11
5 109
6 42
7 238
8 31
9 6

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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2026