Jeffrey A. Stuart

127 papers receiving 5.5k citations

Jeffrey A. Stuart's Hit Papers

A simple ImageJ macro tool for analyzing mitochondrial network morphology in mammalian cell culture 2017 · 567 citations
5670+8+16Years since publication2505007501000

Peers

Jeffrey A. Stuart
Comparison fields: 5 of 151
  • Aging 344
  • Geriatrics and Gerontology 296
  • Physiology 1.9k
  • Molecular Biology 3.0k
  • Cellular and Molecular Neuroscience 723
Replace Alexei Terman with:
Alexei Terman Sweden
Satomi Miwa United Kingdom
Hung‐Hai Ku Taiwan
Akos A. Gerencser United States
Vladimir Veksler France
Mark A. Birch‐Machin United Kingdom
Jared Rutter United States
Carmine Settembre Italy
Alessandro Rimessi Italy
Saverio Marchi Italy
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Citations per year

Countries citing papers authored by Jeffrey A. Stuart

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey A. Stuart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey A. Stuart. 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 Jeffrey A. Stuart. The network helps show where Jeffrey A. Stuart may publish in the future.

Co-authors

The 25 scholars most cited alongside Jeffrey A. Stuart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeffrey A. Stuart Line = papers co-authored together Jeffrey A. Stuart links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Superoxide activates mitochondrial uncoupling proteins
Hit paper breakdown →
20021148
2
A simple ImageJ macro tool for analyzing mitochondrial network morphology in mammalian cell culture
Hit paper breakdown →
2017567
3 1999200
4 2020174
5 2001142
6 2008119
7 2002114
8 200998
9 200192
10 200888
11 200484
12 200181
13 200680
14 200279
15 200178
16 201470
17 200469
18 200568
19 201866
20 200165

About Jeffrey A. Stuart

Jeffrey A. Stuart is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Biomedical Engineering and Cell Biology, having authored 129 papers that have together received 5.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (37 papers), Adipose Tissue and Metabolism (24 papers), Photoreceptor and optogenetics research (23 papers), Genetics, Aging, and Longevity in Model Organisms (14 papers), Cancer, Hypoxia, and Metabolism (13 papers), Muscle metabolism and nutrition (12 papers), Sirtuins and Resveratrol in Medicine (10 papers) and Metabolism and Genetic Disorders (10 papers). The work is most often cited by research in Aging (344 citations), Geriatrics and Gerontology (296 citations), Physiology (1.9k citations), Molecular Biology (3.0k citations) and Cellular and Molecular Neuroscience (723 citations). Jeffrey A. Stuart has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Ellen L. Robb, Martin D. Brand, Mika B. Jekabsons, James A. Harper, Fereshteh Moradi, Lucas A. Maddalena, Damien Roussel, Andrew Valente, Melissa M. Page and Susana Cadenas. Their work appears in journals such as Free Radical Biology and Medicine, The Journal of Physical Chemistry B, American Journal of Physiology-Cell Physiology, Biochemical and Biophysical Research Communications and Mechanisms of Ageing and Development.

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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