David M. Thomas

24.1k total citations · 8 hit papers
301 papers, 14.9k citations indexed

About

David M. Thomas is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David M. Thomas has authored 301 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 87 papers in Oncology and 83 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David M. Thomas's work include Cancer Genomics and Diagnostics (61 papers), Sarcoma Diagnosis and Treatment (55 papers) and BRCA gene mutations in cancer (32 papers). David M. Thomas is often cited by papers focused on Cancer Genomics and Diagnostics (61 papers), Sarcoma Diagnosis and Treatment (55 papers) and BRCA gene mutations in cancer (32 papers). David M. Thomas collaborates with scholars based in Australia, United States and United Kingdom. David M. Thomas's co-authors include Xiaomeng Zhang, Kieran F. Harvey, Maya Kansara, Donald M. Kuhn, Mark J. Smyth, Michele W.L. Teng, Dina M. Francescutti‐Verbeem, Jean‐Yves Blay, Keith M. Skubitz and Sant P. Chawla and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

David M. Thomas

282 papers receiving 14.6k citations

Hit Papers

The Hippo pathway and human cancer 2008 2026 2014 2020 2013 2014 2010 2008 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Thomas Australia 62 5.4k 3.9k 3.6k 2.2k 2.2k 301 14.9k
Lu Wang China 59 5.6k 1.0× 3.2k 0.8× 3.6k 1.0× 1.9k 0.9× 1.1k 0.5× 552 14.1k
Juha Kere Finland 78 10.3k 1.9× 1.4k 0.4× 2.1k 0.6× 1.6k 0.7× 1.3k 0.6× 512 22.1k
Michael J. Kelley United States 55 4.6k 0.9× 3.3k 0.9× 2.3k 0.6× 2.2k 1.0× 755 0.3× 354 13.0k
Charles B. Wilson United States 89 5.6k 1.0× 2.2k 0.6× 5.3k 1.5× 2.0k 0.9× 1.0k 0.5× 482 29.3k
Constantine A. Stratakis United States 82 6.5k 1.2× 4.1k 1.1× 4.3k 1.2× 4.0k 1.8× 1.2k 0.6× 723 28.3k
Michael A. Levine United States 69 6.3k 1.2× 2.3k 0.6× 1.6k 0.5× 408 0.2× 1.7k 0.8× 371 16.1k
Christine E. Seidman United States 109 24.1k 4.4× 1.3k 0.3× 1.6k 0.4× 1.1k 0.5× 914 0.4× 416 45.6k
Roger J. Packer United States 91 8.1k 1.5× 2.5k 0.7× 5.6k 1.6× 1.7k 0.8× 769 0.4× 465 27.6k
Li Mao China 66 10.0k 1.8× 5.6k 1.4× 2.5k 0.7× 3.6k 1.6× 210 0.1× 357 16.8k
David E. Neal United Kingdom 77 8.4k 1.6× 5.7k 1.5× 7.6k 2.1× 3.0k 1.4× 2.4k 1.1× 559 22.3k

Countries citing papers authored by David M. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by David M. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Thomas. A scholar is included among the top collaborators of David M. 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 David M. Thomas. David M. 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
2.
Dziadziuszko, Rafał, Fabrice Barlési, Jeong Eun Kim, et al.. (2024). Atezolizumab in patients (pts) with tumor mutational burden (TMB)–high tumors from the TAPISTRY trial.. Journal of Clinical Oncology. 42(17_suppl). LBA2509–LBA2509.
3.
Marshall, Vikki M., Frank Lin, David M. Thomas, et al.. (2024). Computational repurposing of oncology drugs through off‐target drug binding interactions from pharmacological databases. Clinical and Translational Medicine. 14(4). e1657–e1657. 1 indexed citations
4.
Roulis, Eileen, Simon J. Craddock Lee, Paul Lacaze, et al.. (2022). Using whole-genome sequencing to characterize clinically significant blood groups among healthy older Australians. Blood Advances. 6(15). 4593–4604. 2 indexed citations
5.
Butow, Phyllis, Fabiola Müller, Christine E. Napier, et al.. (2021). Longitudinal patterns in fear of cancer progression in patients with rare, advanced cancers undergoing comprehensive tumour genomic profiling. Psycho-Oncology. 30(11). 1920–1929. 4 indexed citations
6.
Bartley, Nicci, Megan Best, Barbara B. Biesecker, et al.. (2021). Effectively communicating comprehensive tumor genomic profiling results: Mitigating uncertainty for advanced cancer patients. Patient Education and Counseling. 105(2). 452–459. 5 indexed citations
7.
Smit, Amelia K., Nicci Bartley, Megan Best, et al.. (2020). Family communication about genomic sequencing: A qualitative study with cancer patients and relatives. Patient Education and Counseling. 104(5). 944–952. 10 indexed citations
8.
Kansara, Maya, Puiyi Pang, Aurélie Dutour, et al.. (2019). Infiltrating Myeloid Cells Drive Osteosarcoma Progression via GRM4 Regulation of IL23. Cancer Discovery. 9(11). 1511–1519. 35 indexed citations
9.
Lacaze, Paul, Mark Pinese, Warren Kaplan, et al.. (2018). The Medical Genome Reference Bank: a whole-genome data resource of 4000 healthy elderly individuals. Rationale and cohort design. European Journal of Human Genetics. 27(2). 308–316. 19 indexed citations
10.
Gounder, Mrinal M., David M. Thomas, & William D. Tap. (2017). Locally Aggressive Connective Tissue Tumors. Journal of Clinical Oncology. 36(2). 202–209. 42 indexed citations
11.
Peng, Gang, Jasmina Bojadzieva, Mandy L. Ballinger, et al.. (2017). Estimating TP53 Mutation Carrier Probability in Families with Li–Fraumeni Syndrome Using LFSPRO. Cancer Epidemiology Biomarkers & Prevention. 26(6). 837–844. 11 indexed citations
12.
Pishas, Kathleen I., Susan J. Neuhaus, Mark Clayer, et al.. (2013). Nutlin-3a Efficacy in Sarcoma Predicted by Transcriptomic and Epigenetic Profiling. Cancer Research. 74(3). 921–931. 22 indexed citations
13.
Branstetter, Daniel, Scott D. Nelson, J. Carlos Manivel, et al.. (2012). Denosumab Induces Tumor Reduction and Bone Formation in Patients with Giant-Cell Tumor of Bone. Clinical Cancer Research. 18(16). 4415–4424. 332 indexed citations breakdown →
14.
Hubbard, Joleen M., David M. Thomas, Greg Yothers, et al.. (2012). Benefits and Adverse Events in Younger Versus Older Patients Receiving Adjuvant Chemotherapy for Colon Cancer: Findings From the Adjuvant Colon Cancer Endpoints Data Set. Journal of Clinical Oncology. 30(19). 2334–2339. 32 indexed citations
15.
Kelleher, Fergal C., et al.. (2012). Prevailing importance of the hedgehog signaling pathway and the potential for treatment advancement in sarcoma. Pharmacology & Therapeutics. 136(2). 153–168. 34 indexed citations
16.
Thomas, David M., Miriam Wilhelm, Anne‐Marie Cleton-Jansen, et al.. (2011). Workshop Report on the European Bone Sarcoma Networking Meeting: Integration of Clinical Trials with Tumor Biology. Journal of Adolescent and Young Adult Oncology. 1(3). 118–123. 1 indexed citations
17.
Ito, Moriko, Louise Barys, Terence O’Reilly, et al.. (2010). Comprehensive Mapping of p53 Pathway Alterations Reveals an Apparent Role for Both SNP309 and MDM2 Amplification in Sarcomagenesis. Clinical Cancer Research. 17(3). 416–426. 86 indexed citations
18.
Thomas, David M., et al.. (2009). Australian Sarcoma Study Group: Development and Outlook. Cancer Forum. 33(1). 25. 7 indexed citations
19.
Kansara, Maya & David M. Thomas. (2007). Molecular Pathogenesis of Osteosarcoma. DNA and Cell Biology. 26(1). 1–18. 209 indexed citations
20.
Sykes, David A., et al.. (1990). Measuring blood pressure in the elderly: does atrial fibrillation increase observer variability?. BMJ. 300(6718). 162–163. 38 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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