Matthew J. Watt

418 total papers · 21.2k total citations
213 papers, 14.8k citations indexed

About

Matthew J. Watt is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Matthew J. Watt has authored 213 papers receiving a total of 14.8k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Physiology, 88 papers in Molecular Biology and 53 papers in Cell Biology. Recurrent topics in Matthew J. Watt's work include Adipose Tissue and Metabolism (116 papers), Lipid metabolism and biosynthesis (45 papers) and Muscle metabolism and nutrition (43 papers). Matthew J. Watt is often cited by papers focused on Adipose Tissue and Metabolism (116 papers), Lipid metabolism and biosynthesis (45 papers) and Muscle metabolism and nutrition (43 papers). Matthew J. Watt collaborates with scholars based in Australia, United States and Canada. Matthew J. Watt's co-authors include Mark A. Febbraio, Gregory R. Steinberg, Ruth C. R. Meex, Lawrence L. Spriet, Bruce E. Kemp, Clinton R. Bruce, Andrea L. Hevener, Andrew J. Hoy, Magdalene K. Montgomery and George J. F. Heigenhauser and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthew J. Watt

207 papers receiving 14.6k citations

Hit Papers

Interleukin-6 Increases I... 2006 2026 2012 2019 2006 2017 2019 2018 2025 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthew J. Watt 7.2k 6.0k 4.4k 2.6k 2.0k 213 14.8k
Deborah M. Muoio 8.2k 1.1× 8.9k 1.5× 2.6k 0.6× 2.0k 0.8× 1.4k 0.7× 133 16.0k
Dominique Langin 12.0k 1.7× 6.2k 1.0× 5.9k 1.3× 2.0k 0.8× 3.3k 1.7× 293 19.2k
Oksana Gavrilova 8.0k 1.1× 9.3k 1.5× 4.9k 1.1× 1.2k 0.5× 1.5k 0.8× 187 18.5k
Sheila Collins 7.9k 1.1× 6.1k 1.0× 3.0k 0.7× 1.3k 0.5× 945 0.5× 121 14.0k
Gregory J. Cooney 7.0k 1.0× 6.3k 1.0× 2.5k 0.6× 2.0k 0.8× 1.1k 0.5× 200 13.5k
Edward W. Kraegen 9.7k 1.3× 8.8k 1.5× 3.6k 0.8× 2.6k 1.0× 1.3k 0.7× 175 18.5k
Yu‐Hua Tseng 10.4k 1.4× 4.6k 0.8× 5.6k 1.3× 1.6k 0.6× 1.2k 0.6× 139 15.0k
Max Lafontan 7.4k 1.0× 3.6k 0.6× 3.5k 0.8× 1.5k 0.6× 1.3k 0.7× 235 13.5k
Jiandie D. Lin 10.1k 1.4× 12.4k 2.0× 3.9k 0.9× 3.7k 1.4× 1.1k 0.6× 122 21.1k
Kurt Højlund 6.6k 0.9× 4.9k 0.8× 2.4k 0.6× 1.7k 0.6× 551 0.3× 212 11.4k

Countries citing papers authored by Matthew J. Watt

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Watt. 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 Matthew J. Watt. The network helps show where Matthew J. Watt may publish in the future.

Co-authorship network of co-authors of Matthew J. Watt

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Watt. A scholar is included among the top collaborators of Matthew J. Watt 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 Matthew J. Watt. Matthew J. Watt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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