Tom Ashmore

1.4k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Tom Ashmore is a scholar working on Physiology, Molecular Biology and Biochemistry. According to data from OpenAlex, Tom Ashmore has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 8 papers in Molecular Biology and 6 papers in Biochemistry. Recurrent topics in Tom Ashmore's work include Adipose Tissue and Metabolism (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). Tom Ashmore is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). Tom Ashmore collaborates with scholars based in United Kingdom, United States and South Sudan. Tom Ashmore's co-authors include Julian L. Griffin, Andrew J. Murray, Lee D. Roberts, James A. West, Martin Feelisch, Bernadette Fernandez, Kieran Clarke, Stefan Neubauer, Richard L. Veech and Tom Kirk and has published in prestigious journals such as Hepatology, The Journal of Physiology and Cell Metabolism.

In The Last Decade

Tom Ashmore

16 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nutritional Ketosis Alters Fuel Preference and Thereby Endurance Performance in Athletes

2016 406 citations Pete J. Cox, Tom Kirk et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tom Ashmore United Kingdom	13	669	336	206	197	181	16	1.1k
Laia Salvadó Spain	12	360 0.5×	521 1.6×	219 1.1×	304 1.5×	129 0.7×	13	1.1k
Paula M. Miotto Canada	19	593 0.9×	548 1.6×	215 1.0×	455 2.3×	211 1.2×	36	1.3k
Yael Riahi Israel	19	287 0.4×	473 1.4×	143 0.7×	250 1.3×	214 1.2×	23	1.2k
Arild C. Rustan Norway	23	682 1.0×	739 2.2×	223 1.1×	204 1.0×	122 0.7×	57	1.5k
Thomas S. Nielsen Denmark	18	622 0.9×	328 1.0×	125 0.6×	197 1.0×	233 1.3×	30	1.1k
Rocío Guzmán‐Ruiz Spain	17	420 0.6×	351 1.0×	78 0.4×	313 1.6×	150 0.8×	40	1.2k
Freyja D. James United States	24	713 1.1×	794 2.4×	179 0.9×	330 1.7×	321 1.8×	45	1.6k
Abudukadier Abulizi United States	15	573 0.9×	640 1.9×	114 0.6×	431 2.2×	307 1.7×	17	1.3k
Jolita Čiapaitė Netherlands	21	444 0.7×	546 1.6×	105 0.5×	144 0.7×	103 0.6×	38	1.0k
A. Brianne Thrush Canada	17	755 1.1×	621 1.8×	236 1.1×	222 1.1×	72 0.4×	19	1.2k

Countries citing papers authored by Tom Ashmore

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tom Ashmore

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

All Works

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16 of 16 papers shown

Hall, Zoe, Catherine H. Wilson, Deborah L. Burkhart, et al.. (2020). Myc linked to dysregulation of cholesterol transport and storage in nonsmall cell lung cancer. Journal of Lipid Research. 61(11). 1390–1399. 24 indexed citations

McNally, Ben D., Amy L. Moran, Nicole T. Watt, et al.. (2020). Inorganic Nitrate Promotes Glucose Uptake and Oxidative Catabolism in White Adipose Tissue Through the XOR-Catalyzed Nitric Oxide Pathway. Diabetes. 69(5). 893–901. 10 indexed citations

Charidemou, Evelina, Tom Ashmore, Xuefei Li, et al.. (2019). A randomized 3-way crossover study indicates that high-protein feeding induces de novo lipogenesis in healthy humans. JCI Insight. 4(12). 36 indexed citations

Charidemou, Evelina, Tom Ashmore, & Julian L. Griffin. (2017). The use of stable isotopes in the study of human pathophysiology. The International Journal of Biochemistry & Cell Biology. 93. 102–109. 26 indexed citations

Hall, Zoe, Zsuzsanna Ament, Catherine H. Wilson, et al.. (2016). Myc Expression Drives Aberrant Lipid Metabolism in Lung Cancer. Cancer Research. 76(16). 4608–4618. 61 indexed citations

Hall, Zoe, Nicholas J. Bond, Tom Ashmore, et al.. (2016). Lipid zonation and phospholipid remodeling in nonalcoholic fatty liver disease. Hepatology. 65(4). 1165–1180. 151 indexed citations

Cox, Pete J., Tom Kirk, Tom Ashmore, et al.. (2016). Nutritional Ketosis Alters Fuel Preference and Thereby Endurance Performance in Athletes. Cell Metabolism. 24(2). 256–268. 406 indexed citations breakdown →

Ament, Zsuzsanna, James A. West, Elizabeth Stanley, et al.. (2016). Metabolomics dataset of PPAR-pan treated rat liver. Data in Brief. 8. 196–202. 1 indexed citations

Roberts, Lee D., Tom Ashmore, Ben D. McNally, et al.. (2016). Inorganic Nitrate Mimics Exercise-Stimulated Muscular Fiber-Type Switching and Myokine and γ-Aminobutyric Acid Release. Diabetes. 66(3). 674–688. 44 indexed citations

10.

Ashmore, Tom, Lee D. Roberts, Andrea J. Morash, et al.. (2015). Nitrate enhances skeletal muscle fatty acid oxidation via a nitric oxide-cGMP-PPAR-mediated mechanism. BMC Biology. 13(1). 110–110. 43 indexed citations

11.

Ament, Zsuzsanna, James A. West, Elizabeth Stanley, et al.. (2015). PPAR-pan activation induces hepatic oxidative stress and lipidomic remodelling. Free Radical Biology and Medicine. 95. 357–368. 24 indexed citations

12.

Ashmore, Tom, Bernadette Fernandez, Colin E. Evans, et al.. (2014). Suppression of erythropoiesis by dietary nitrate. The FASEB Journal. 29(3). 1102–1112. 14 indexed citations

13.

Roberts, Lee D., Tom Ashmore, Aleksandra Kotwica, et al.. (2014). Inorganic Nitrate Promotes the Browning of White Adipose Tissue Through the Nitrate-Nitrite-Nitric Oxide Pathway. Diabetes. 64(2). 471–484. 113 indexed citations

14.

Holloway, Cameron J., Andrew J. Murray, Kay Mitchell, et al.. (2014). Oral Coenzyme Q10 Supplementation Does Not Prevent Cardiac Alterations During a High Altitude Trek to Everest Base Camp. High Altitude Medicine & Biology. 15(4). 459–467. 6 indexed citations

15.

Ashmore, Tom, Bernadette Fernandez, Cristina Branco‐Price, et al.. (2014). Dietary nitrate increases arginine availability and protects mitochondrial complex I and energetics in the hypoxic rat heart. The Journal of Physiology. 592(21). 4715–4731. 46 indexed citations

16.

Roberts, Lee D., Andrew J. Murray, David A. Menassa, et al.. (2011). The contrasting roles of PPARδ and PPARγ in regulating the metabolic switch between oxidation and storage of fats in white adipose tissue. Genome biology. 12(8). R75–R75. 86 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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