George Thomas

57.2k total citations · 7 hit papers
239 papers, 11.8k citations indexed

About

George Thomas is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Plant Science. According to data from OpenAlex, George Thomas has authored 239 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Pulmonary and Respiratory Medicine, 66 papers in Molecular Biology and 48 papers in Plant Science. Recurrent topics in George Thomas's work include Prostate Cancer Treatment and Research (44 papers), Cancer Genomics and Diagnostics (19 papers) and PI3K/AKT/mTOR signaling in cancer (17 papers). George Thomas is often cited by papers focused on Prostate Cancer Treatment and Research (44 papers), Cancer Genomics and Diagnostics (19 papers) and PI3K/AKT/mTOR signaling in cancer (17 papers). George Thomas collaborates with scholars based in United States, India and Canada. George Thomas's co-authors include Charles L. Sawyers, Michael N. Hall, Hong Wu, Ingo K. Mellinghoff, Chris Tran, Massimo Loda, Nora Rozengurt, Alka Gupta, Murali Gopal and Robert E. Reiter and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

George Thomas

229 papers receiving 11.5k citations

Hit Papers

Prostate-specific deletion of the murine Pten tumor suppr... 1998 2026 2007 2016 2003 2001 2003 1998 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Thomas United States 50 5.8k 3.8k 2.9k 2.5k 1.3k 239 11.8k
Ming Zhou China 62 9.7k 1.7× 2.0k 0.5× 1.8k 0.6× 2.3k 0.9× 1.2k 0.9× 346 14.1k
Simon W. Hayward United States 61 4.7k 0.8× 3.9k 1.0× 2.9k 1.0× 2.1k 0.8× 922 0.7× 214 11.6k
Mark D. Fleming United States 67 9.2k 1.6× 1.6k 0.4× 3.4k 1.2× 3.5k 1.4× 1.9k 1.4× 227 22.4k
Nancy C. Andrews United States 72 7.8k 1.4× 1.2k 0.3× 2.9k 1.0× 1.8k 0.7× 1.7k 1.3× 169 28.1k
Wan L. Lam Canada 69 11.8k 2.0× 2.8k 0.8× 3.2k 1.1× 6.1k 2.5× 1.3k 1.0× 311 18.4k
Jiří Zavadil United States 56 8.1k 1.4× 1.1k 0.3× 2.9k 1.0× 2.7k 1.1× 1.3k 1.0× 147 12.6k
Sharon A. Savage United States 54 5.7k 1.0× 1.9k 0.5× 1.9k 0.7× 1.9k 0.7× 1.0k 0.8× 245 11.6k
Xiaoli Liu China 54 5.8k 1.0× 1.5k 0.4× 1.3k 0.5× 1.7k 0.7× 1.2k 0.9× 525 11.9k
Colleen C. Nelson Australia 56 5.1k 0.9× 3.1k 0.8× 2.2k 0.7× 2.5k 1.0× 624 0.5× 197 9.5k
Karen E. Knudsen United States 61 6.3k 1.1× 4.1k 1.1× 4.0k 1.4× 2.5k 1.0× 555 0.4× 169 11.1k

Countries citing papers authored by George Thomas

Since Specialization
Citations

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

Fields of papers citing papers by George Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of George Thomas. A scholar is included among the top collaborators of George 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 George Thomas. George 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.
Flory, Mark R., et al.. (2025). Mitochondrial Translation Inhibition Uncovers a Critical Metabolic–Epigenetic Interface in Renal Cell Carcinoma. Metabolites. 15(6). 393–393. 1 indexed citations
2.
Séguin, Bernard, et al.. (2024). Comparative Transcriptomes of Canine and Human Prostate Cancers Identify Mediators of Castration Resistance. Veterinary and Comparative Oncology. 22(4). 629–640. 1 indexed citations
3.
Thomas, George, et al.. (2022). Spontaneous spinal cord infarction: a practical approach. Practical Neurology. 22(6). 497–502. 5 indexed citations
4.
Iizuka, Shinji, Manuela Quintavalle, Robert Ardecky, et al.. (2021). Serine-Threonine Kinase TAO3-Mediated Trafficking of Endosomes Containing the Invadopodia Scaffold TKS5α Promotes Cancer Invasion and Tumor Growth. Cancer Research. 81(6). 1472–1485. 13 indexed citations
5.
Li, Allen, Jamie M. Keck, Swapnil Parmar, et al.. (2021). Characterizing advanced breast cancer heterogeneity and treatment resistance through serial biopsies and comprehensive analytics. npj Precision Oncology. 5(1). 28–28. 23 indexed citations
7.
Aggarwal, Rahul, David A. Quigley, Jiaoti Huang, et al.. (2019). Whole-Genome and Transcriptional Analysis of Treatment-Emergent Small-Cell Neuroendocrine Prostate Cancer Demonstrates Intraclass Heterogeneity. Molecular Cancer Research. 17(6). 1235–1240. 40 indexed citations
8.
Thomas, George. (2017). Comparative Analysis on Selected Psychological Characteristics Among Cricket Players and Non Cricket Players. SSRN Electronic Journal.
9.
Azad, Arun, Stanislav Volik, Alexander W. Wyatt, et al.. (2015). Androgen Receptor Gene Aberrations in Circulating Cell-Free DNA: Biomarkers of Therapeutic Resistance in Castration-Resistant Prostate Cancer. Clinical Cancer Research. 21(10). 2315–2324. 367 indexed citations breakdown →
10.
Barnett, Christine M., Michael C. Heinrich, Jeong Ho Lim, et al.. (2013). Genetic Profiling to Determine Risk of Relapse-Free Survival in High-Risk Localized Prostate Cancer. Clinical Cancer Research. 20(5). 1306–1312. 19 indexed citations
11.
Ittmann, Michael, Jiaoti Huang, Enrico Radaelli, et al.. (2013). Animal Models of Human Prostate Cancer: The Consensus Report of the New York Meeting of the Mouse Models of Human Cancers Consortium Prostate Pathology Committee. Cancer Research. 73(9). 2718–2736. 184 indexed citations
13.
Kalavathi, S., et al.. (2011). Improving food and nutritional security of small and marginal coconut growers through diversification of crops and enterprises. SHILAP Revista de lepidopterología. 7 indexed citations
14.
Sabu­, M., et al.. (2010). Amplified fragment length polymorphism analyses unravel a striking difference in the intraspecific genetic diversity of four species of genus Zingiber Boehm. from the Western Ghats, south India. Current Science. 98(2). 242–247. 18 indexed citations
15.
Gupta, Alka, et al.. (2010). Plant growth promoting potential of Bacillus spp. isolated from rhizosphere of cocoa (Theobroma cacao L.).. Journal of Plantation Crops. 38(2). 97–104. 1 indexed citations
16.
Freeman, Dan, Ralf Lesche, Nathalie Kertesz, et al.. (2006). Genetic Background Controls Tumor Development in Pten -Deficient Mice. Cancer Research. 66(13). 6492–6496. 83 indexed citations
17.
Thomas, George, Steve Horvath, Bradley L. Smith, et al.. (2004). Antibody-Based Profiling of the Phosphoinositide 3-Kinase Pathway in Clinical Prostate Cancer. Clinical Cancer Research. 10(24). 8351–8356. 54 indexed citations
18.
Thomas, George, et al.. (2002). Asperger Syndrome-Practical Strategies for the Classroom: A Teacher's Guide. Experimental and Therapeutic Medicine. 19(5). 3355–3361. 4 indexed citations
19.
Thomas, George, et al.. (2000). CATECHOLAMINE SECRETION AND PLOIDY IN PHAEOCHROMOCYTOMA. International Journal of Clinical Practice. 54(8). 520–523. 3 indexed citations
20.
Thomas, George. (1986). Rare cancers and specialist centres. BMJ. 292(6524). 898.2–898. 1 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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