Matthew J. Watt

21.4k citations
215 papers · 14.9k indexed · 5 hit papers · h-index 68
Topics
Adipose Tissue and Metabolism (116 papers)Lipid metabolism and biosynthesis (45 papers)Muscle metabolism and nutrition (43 papers)

In The Last Decade

Matthew J. Watt

209 papers receiving 14.7k citations

Hit Papers

Interleukin-6 Increases Insulin-Stimulated Glucose Dispos...200620262012201920062017201920182025200400600

Peers

Matthew J. Watt
Comparison fields: 5 of 146
  • Physiology 7.3k
  • Molecular Biology 6.1k
  • Epidemiology 4.4k
  • Cell Biology 2.6k
  • Biochemistry 2.0k
Replace Dominique Langin with:
Dominique Langin France
Yu‐Hua Tseng United States
Deborah M. Muoio United States
Sheila Collins United States
Matthijs K. C. Hesselink Netherlands
Gregory R. Steinberg Canada
Gert Schaart Netherlands
Kurt Højlund Denmark
Shingo Kajimura United States
Matthew J. Watt relative to Dominique Langin France Dominique Langin's profile →
Citations per field
00.5×1.5×
Dominique Langin · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 1
5 0
6 18
7 2
8 20
9 17
10 25
11 7
12 6
13 83
14 66
15 26
16 9
17 7
18 61
19 138
20 425

About Matthew J. Watt

Matthew J. Watt is a scholar working on Biochemistry, Physiology and Cell Biology, having authored 215 papers that have together received 14.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (116 papers), Lipid metabolism and biosynthesis (45 papers) and Muscle metabolism and nutrition (43 papers). The work is most often cited by research in Physiology (7.3k citations), Biochemistry (2.0k citations) and Rehabilitation (1.3k citations). Matthew J. Watt has collaborated with scholars based in Australia, United States and Canada. Frequent 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. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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