Thomas M. O’Connell
- Physiology top 2%
- Adipose Tissue and Metabolism 12
- Nutrition and Health in Aging 12
- Diet and metabolism studies 11
- Biological Psychiatry top 5%
- Molecular Biology top 2%
- Metabolomics and Mass Spectrometry Studies 22
- Gut microbiota and health 10
- Muscle Physiology and Disorders 8
- Geriatrics and Gerontology top 5%
- Pharmacology top 2%
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- Muscle metabolism and nutrition 6
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- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Scott J. BultmanWei SunMaureen K. BungerXinxin ZhangNikhil GargeDallas R. DonohoeAndrea BonettoPaul B. Watkins
- Partner nations
- United StatesFinlandUnited Kingdom
In The Last Decade
Thomas M. O’Connell
77 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Physiology 1.2k
- Biological Psychiatry 112
- Molecular Biology 2.7k
- Geriatrics and Gerontology 121
- Pharmacology 204
Countries citing papers authored by Thomas M. O’Connell
This map shows the geographic impact of Thomas M. O’Connell'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 Thomas M. O’Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas M. O’Connell more than expected).
Fields of papers citing papers by Thomas M. O’Connell
This network shows the impact of papers produced by Thomas M. O’Connell. 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 Thomas M. O’Connell. The network helps show where Thomas M. O’Connell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas M. O’Connell, 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 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 127 | |
| 10 | Cachexia induced by cancer and chemotherapy yield distinct perturbations to energy metabolism | 2019 | 3 |
| 11 | 2018 | 92 | |
| 12 | 2017 | 19 | |
| 13 | 2016 | 3 | |
| 14 | The Microbiome and Butyrate Regulate Energy Metabolism and Autophagy in the Mammalian Colonbreakdown → | 2011 | 1430 |
| 15 | 2011 | 45 | |
| 16 | 2008 | 15 | |
| 17 | 2008 | 1 | |
| 18 | 2007 | 46 | |
| 19 | 2006 | 33 | |
| 20 | 1998 | 15 |
About Thomas M. O’Connell
Thomas M. O’Connell is a scholar working on Physiology, Molecular Biology, Biophysics, Physiology and Cell Biology, having authored 81 papers that have together received 4.2k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (22 papers), Adipose Tissue and Metabolism (12 papers), Nutrition and Health in Aging (12 papers), Diet and metabolism studies (11 papers), Gut microbiota and health (10 papers), Muscle Physiology and Disorders (8 papers), Muscle metabolism and nutrition (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Physiology (1.2k citations), Biological Psychiatry (112 citations), Molecular Biology (2.7k citations), Geriatrics and Gerontology (121 citations) and Pharmacology (204 citations). Thomas M. O’Connell has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Scott J. Bultman, Wei Sun, Maureen K. Bunger, Xinxin Zhang, Nikhil Garge, Dallas R. Donohoe, Andrea Bonetto, Paul B. Watkins, Marion E. Couch and Fabrizio Pin. Their work appears in journals such as Scientific Reports, Metabolomics, Cell Metabolism, Cancers and Tissue Engineering Part C Methods.
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.