Tom Ashmore
Impact in
- Physiology top 5%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
- Nitric Oxide and Endothelin Effects
- Biochemistry top 5%
Papers in
-
- Adipose Tissue and Metabolism 4
- Diet and metabolism studies 3
- Nitric Oxide and Endothelin Effects 2
-
- Peroxisome Proliferator-Activated Receptors 3
- Metabolomics and Mass Spectrometry Studies 3
- Co-authors
- Julian L. Griffin (15 shared papers)Andrew J. Murray (10 shared papers)Lee D. Roberts (7 shared papers)James A. West (6 shared papers)Bernadette Fernandez (5 shared papers)Martin Feelisch (5 shared papers)Kieran Clarke (3 shared papers)Alan A. Smith (1 shared paper)
- Journals
- Diabetes (3 papers)BMC Biology (1 paper)The FASEB Journal (1 paper)The Journal of Physiology (1 paper)Genome biology (1 paper)
- Partner nations
- United KingdomSouth SudanUnited States
In The Last Decade
Tom Ashmore
16 papers receiving 1.1k citations
Tom Ashmore's Hit Papers
Peers
Comparison fields: 5 of 82
- Physiology 621
- Biochemistry 88
- Cell Biology 165
- Clinical Biochemistry 61
- Endocrinology, Diabetes and Metabolism 138
Countries citing papers authored by Tom Ashmore
This map shows the geographic impact of Tom Ashmore'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 Tom Ashmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Ashmore more than expected).
Fields of papers citing papers by Tom Ashmore
This network shows the impact of papers produced by Tom Ashmore. 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 Tom Ashmore. The network helps show where Tom Ashmore may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Ashmore, 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 | Nutritional Ketosis Alters Fuel Preference and Thereby Endurance Performance in Athletes Hit paper breakdown → | 2016 | 414 |
| 2 | 2016 | 155 | |
| 3 | 2014 | 116 | |
| 4 | 2011 | 86 | |
| 5 | 2016 | 61 | |
| 6 | 2014 | 46 | |
| 7 | 2016 | 45 | |
| 8 | 2015 | 43 | |
| 9 | 2019 | 37 | |
| 10 | 2020 | 26 | |
| 11 | 2017 | 26 | |
| 12 | 2015 | 25 | |
| 13 | 2014 | 15 | |
| 14 | 2020 | 10 | |
| 15 | 2014 | 6 | |
| 16 | 2016 | 1 |
About Tom Ashmore
Tom Ashmore is a scholar working on Physiology, Molecular Biology, Epidemiology, Biochemistry and Genetics, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (4 papers), Adipose Tissue and Metabolism (4 papers), Diet and metabolism studies (3 papers), High Altitude and Hypoxia (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Physiology (621 citations), Biochemistry (88 citations), Cell Biology (165 citations), Clinical Biochemistry (61 citations) and Endocrinology, Diabetes and Metabolism (138 citations). Tom Ashmore has collaborated with scholars based in United Kingdom, South Sudan and United States. Frequent co-authors include Julian L. Griffin, Andrew J. Murray, Lee D. Roberts, James A. West, Bernadette Fernandez, Martin Feelisch, Kieran Clarke, Alan A. Smith, Stewart McLure and Brianna J. Stubbs. Their work appears in journals such as Diabetes, BMC Biology, The FASEB Journal, The Journal of Physiology and Genome 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.