Andrew W. Thomas

695 total citations
23 papers, 532 citations indexed

About

Andrew W. Thomas is a scholar working on Molecular Biology, Physiology and Rehabilitation. According to data from OpenAlex, Andrew W. Thomas has authored 23 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Physiology and 6 papers in Rehabilitation. Recurrent topics in Andrew W. Thomas's work include Mitochondrial Function and Pathology (8 papers), Metabolism and Genetic Disorders (6 papers) and Exercise and Physiological Responses (6 papers). Andrew W. Thomas is often cited by papers focused on Mitochondrial Function and Pathology (8 papers), Metabolism and Genetic Disorders (6 papers) and Exercise and Physiological Responses (6 papers). Andrew W. Thomas collaborates with scholars based in United Kingdom, Singapore and Belgium. Andrew W. Thomas's co-authors include Michael G. Hughes, John Alcolado, Tom Cullen, Richard Webb, Emma Sherratt, Annette Roberts, Lee Butcher, James Gagg, Keith Morris and M. Ahluwalia and has published in prestigious journals such as Diabetes, Biochemical and Biophysical Research Communications and Journal of Applied Physiology.

In The Last Decade

Andrew W. Thomas

23 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew W. Thomas United Kingdom 14 220 159 104 80 69 23 532
Taisuke Ono Japan 12 215 1.0× 236 1.5× 73 0.7× 86 1.1× 37 0.5× 29 660
Ingeborg Stelzer Austria 14 150 0.7× 129 0.8× 48 0.5× 108 1.4× 35 0.5× 31 551
Jonathan S. T. Woodhead New Zealand 14 271 1.2× 294 1.8× 54 0.5× 46 0.6× 44 0.6× 16 663
Brisamar Estébanez Spain 9 291 1.3× 236 1.5× 80 0.8× 133 1.7× 30 0.4× 17 561
Sheng‐Chiang Su Taiwan 15 114 0.5× 138 0.9× 22 0.2× 115 1.4× 38 0.6× 35 580
Jun Seok Son United States 15 172 0.8× 351 2.2× 87 0.8× 83 1.0× 16 0.2× 32 663
Awadhesh K. Arya United States 10 134 0.6× 46 0.3× 126 1.2× 56 0.7× 48 0.7× 24 437
Richard Webb United Kingdom 11 119 0.5× 179 1.1× 152 1.5× 66 0.8× 44 0.6× 21 495
R. T. Fukui Brazil 12 75 0.3× 165 1.0× 37 0.4× 39 0.5× 37 0.5× 24 460
Stefanie Lehmann Germany 13 253 1.1× 338 2.1× 56 0.5× 147 1.8× 19 0.3× 23 702

Countries citing papers authored by Andrew W. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Andrew W. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew W. Thomas. 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 Andrew W. Thomas. The network helps show where Andrew W. Thomas may publish in the future.

Co-authorship network of co-authors of Andrew W. Thomas

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

All Works

20 of 20 papers shown
1.
Cullen, Tom, Andrew W. Thomas, Richard Webb, T. Phillips, & Michael G. Hughes. (2017). sIL-6R Is Related to Weekly Training Mileage and Psychological Well-being in Athletes. Medicine & Science in Sports & Exercise. 49(6). 1176–1183. 12 indexed citations
2.
Thompson, Jane, J. S. Ruffino, Samuel J. Hooper, et al.. (2016). Evaluation of cardiovascular risk-lowering health benefits accruing from laboratory-based, community-based and exercise-referral exercise programmes. BMJ Open Sport & Exercise Medicine. 2(1). e000089–e000089. 12 indexed citations
3.
Cullen, Tom, Andrew W. Thomas, Richard Webb, & Michael G. Hughes. (2016). Interleukin-6 and associated cytokine responses to an acute bout of high-intensity interval exercise: the effect of exercise intensity and volume. Applied Physiology Nutrition and Metabolism. 41(8). 803–808. 82 indexed citations
4.
Davies, Nathan, Lee Butcher, Stephen Potter, et al.. (2014). The contributions of oxidative stress, oxidised lipoproteins and AMPK towards exercise-associated PPARγ signalling within human monocytic cells. Free Radical Research. 49(1). 45–56. 16 indexed citations
5.
Cullen, Tom, et al.. (2014). The relationship between interleukin-6 in saliva, venous and capillary plasma, at rest and in response to exercise. Cytokine. 71(2). 397–400. 50 indexed citations
6.
Ruffino, J. S., et al.. (2011). M2 macrophages exhibit higher sensitivity to oxLDL-induced lipotoxicity than other monocyte/macrophage subtypes. Lipids in Health and Disease. 10(1). 229–229. 37 indexed citations
7.
Adam, Elizabeth, et al.. (2010). Rosiglitazone induces the unfolded protein response, but has no significant effect on cell viability, in monocytic and vascular smooth muscle cells. Biochemical and Biophysical Research Communications. 400(4). 689–695. 2 indexed citations
8.
Moir, Hannah, Michael G. Hughes, Stephen Potter, et al.. (2010). Exercise-induced immunosuppression: roles of reactive oxygen species and 5′-AMP-activated protein kinase dephosphorylation within immune cells. Journal of Applied Physiology. 108(5). 1284–1292. 16 indexed citations
9.
10.
Morris, Roger H., Alex Tonks, Karen L. Jones, et al.. (2008). DPPC regulates COX-2 expression in monocytes via phosphorylation of CREB. Biochemical and Biophysical Research Communications. 370(1). 174–178. 13 indexed citations
11.
12.
Singh, Neenu, et al.. (2007). Rosiglitazone transiently disturbs calcium homeostasis in monocytic cells. Biochemical and Biophysical Research Communications. 366(1). 149–155. 7 indexed citations
13.
Okosieme, Onyebuchi, et al.. (2006). Peripheral Cytokine Expression in Autoimmune Thyroiditis: Effects of In Vitro Modulation by Rosiglitazone and Dexamethasone. Thyroid. 16(10). 953–960. 7 indexed citations
14.
Singh, Neenu, Richard Webb, Rachel Adams, et al.. (2005). The PPAR-γ activator, Rosiglitazone, inhibits actin polymerisation in monocytes: Involvement of Akt and intracellular calcium. Biochemical and Biophysical Research Communications. 333(2). 455–462. 17 indexed citations
15.
16.
Thomas, Andrew W., Aneela Majid, Emma Sherratt, James Gagg, & John Alcolado. (1999). Differential expression of mRNA in human thyroid cells depleted of mitochondrial DNA by ethidium bromide treatment. Clinical Science. 97(2). 207–213. 6 indexed citations
17.
18.
Sherratt, Emma, Andrew W. Thomas, & John Alcolado. (1997). Mitochondrial DNA Defects: A Widening Clinical Spectrum of Disorders. Clinical Science. 92(3). 225–235. 27 indexed citations
19.
Sherratt, Emma, Andrew W. Thomas, James Gagg, & John Alcolado. (1996). Nonradioactive Characterization of Low-Level Heteroplasmic Mitochondrial DNA Mutations by SSCP-PCR Enrichment. BioTechniques. 20(3). 430–432. 7 indexed citations
20.
Alcolado, John & Andrew W. Thomas. (1995). Maternally Inherited Diabetes Mellitus: the Role of Mitochondrial DNA Defects. Diabetic Medicine. 12(2). 102–108. 33 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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