Kevin I. Watt

2.0k citations
19 papers · 1.2k indexed · 1 hit paper · h-index 12
Topics
Muscle Physiology and Disorders (4 papers)Hippo pathway signaling and YAP/TAZ (4 papers)Muscle metabolism and nutrition (3 papers)

In The Last Decade

Kevin I. Watt

17 papers receiving 1.1k citations

Hit Papers

Extracellular Vesicles Provide a Means for Tissue Crossta...20182026202020232018100200300400

Peers

Kevin I. Watt
Comparison fields: 5 of 85
  • Molecular Biology 854
  • Cell Biology 312
  • Physiology 288
  • Cancer Research 184
  • Cardiology and Cardiovascular Medicine 122
Replace Michele Vasso with:
Michele Vasso Italy
Agnese Viganò Italy
Pradyut K. Paul United States
Pascale Lause Belgium
Giulia Minetti Switzerland
Marina Bouché Italy
Marie‐Claude Sincennes Canada
Bingwen Jin United States
Rachel E. Thomson United States
Claudia Beyer Australia
Kevin I. Watt relative to Michele Vasso Italy Michele Vasso's profile →
Citations per field
00.5×5.2×
Michele Vasso · 1×
Citations per year

Countries citing papers authored by Kevin I. Watt

Since Specialization
Citations

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

Fields of papers citing papers by Kevin I. Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin I. Watt

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 0
3 6
4 11
5 0
6 9
7 11
8 7
9 30
10 12
11 57
12
Extracellular Vesicles Provide a Means for Tissue Crosstalk during Exercisebreakdown →
483
13 41
14 43
15 120
16 168
17 6
18 115
19 35

About Kevin I. Watt

Kevin I. Watt is a scholar working on Aging, Cell Biology and Molecular Biology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers) and Muscle metabolism and nutrition (3 papers). The work is most often cited by research in Cell Biology (312 citations), Rehabilitation (108 citations) and Molecular Biology (854 citations). Kevin I. Watt has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Paul Gregorevic, Benjamin L. Parker, Hongwei Qian, David E. James, Kieran F. Harvey, Mark A. Febbraio, Martin Whitham, Emma Estévez, Casey L. Egan and Marit Hjorth. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and The Journal of Cell Biology.

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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