Kevin I. Watt
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ 4
- Muscle metabolism and nutrition 3
- Rehabilitation top 5%
- Molecular Biology top 10%
- Muscle Physiology and Disorders 4
- Ubiquitin and proteasome pathways 3
- CRISPR and Genetic Engineering 2
- Cancer Research top 10%
- Aging top 10%
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- Cardiovascular Effects of Exercise 2
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- Pancreatic function and diabetes 2
- Muscle and Compartmental Disorders 1
- Co-authors
- Paul GregorevicBenjamin L. ParkerHongwei QianDavid E. JamesKieran F. HarveyMark A. FebbraioMartin WhithamEmma Estévez
- Journals
- Nature Communications (1 paper)The Journal of Experimental Medicine (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Kevin I. Watt
17 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Cell Biology 312
- Rehabilitation 108
- Molecular Biology 854
- Cancer Research 184
- Aging 20
Countries citing papers authored by Kevin I. Watt
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
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
The 25 scholars most cited alongside Kevin I. Watt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 30 | |
| 10 | 2020 | 12 | |
| 11 | 2018 | 57 | |
| 12 | Extracellular Vesicles Provide a Means for Tissue Crosstalk during Exercisebreakdown → | 2018 | 483 |
| 13 | 2017 | 41 | |
| 14 | 2016 | 43 | |
| 15 | 2015 | 120 | |
| 16 | 2013 | 168 | |
| 17 | 2013 | 6 | |
| 18 | 2010 | 115 | |
| 19 | 2010 | 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), Muscle metabolism and nutrition (3 papers), Ubiquitin and proteasome pathways (3 papers), Cardiovascular Effects of Exercise (2 papers), CRISPR and Genetic Engineering (2 papers), Pancreatic function and diabetes (2 papers) and Muscle and Compartmental Disorders (1 paper). 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.