M. J. Watt

834 total citations · 1 hit paper
3 papers, 666 citations indexed

About

M. J. Watt is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, M. J. Watt has authored 3 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 2 papers in Epidemiology and 1 paper in Molecular Biology. Recurrent topics in M. J. Watt's work include Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (1 paper) and Autophagy in Disease and Therapy (1 paper). M. J. Watt is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (1 paper) and Autophagy in Disease and Therapy (1 paper). M. J. Watt collaborates with scholars based in Australia, Denmark and United States. M. J. Watt's co-authors include Mark A. Febbraio, K. S. Krabbe, Bente Klarlund Pedersen, Christina Yfanti, Ole Hartvig Mortensen, Helle Brüünsgaard, Stanley M. H. Chan, Christa Broholm, Thorbjörn Åkerström and Milena Penkowa and has published in prestigious journals such as The Journal of Physiology, Diabetologia and Journal of Neuroendocrinology.

In The Last Decade

M. J. Watt

3 papers receiving 650 citations

Hit Papers

Brain-derived neurotrophic factor is produced by skeletal... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers

M. J. Watt
Susan T. Lubejko United States
Nabil Karnib Lebanon
Maria Bilen United States
Julien Delezie Switzerland
Jung‐Hoon Koo South Korea
Cheryl Cero United States
M. J. Watt
Citations per year, relative to M. J. Watt M. J. Watt (= 1×) peers Pernille Nordby

Countries citing papers authored by M. J. Watt

Since Specialization
Citations

This map shows the geographic impact of M. 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 M. 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 M. J. Watt more than expected).

Fields of papers citing papers by M. J. Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

3 of 3 papers shown
1.
Andrews, Zane B., et al.. (2013). Exercise Training does not Enhance Hypothalamic Responsiveness to Leptin or Ghrelin in Male Mice. Journal of Neuroendocrinology. 26(2). 68–79. 18 indexed citations
2.
Chan, Stanley M. H., Clinton R. Bruce, K. S. Krabbe, et al.. (2009). Brain-derived neurotrophic factor is produced by skeletal muscle cells in response to contraction and enhances fat oxidation via activation of AMP-activated protein kinase. Diabetologia. 52(7). 1409–1418. 556 indexed citations breakdown →
3.
Turpin-Nolan, Sarah M., James G. Ryall, Robert J. Southgate, et al.. (2009). Examination of ‘lipotoxicity’ in skeletal muscle of high‐fat fed and ob / ob mice. The Journal of Physiology. 587(7). 1593–1605. 92 indexed citations

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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