David M. Thomas
- Oral Surgery top 0.5%
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 61
- Rheumatology top 0.2%
- Bone Tumor Diagnosis and Treatments 17
- Oncology top 0.5%
- Cancer-related Molecular Pathways 24
- Bone health and treatments 14
- Pulmonary and Respiratory Medicine top 0.5%
- Sarcoma Diagnosis and Treatment 55
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- BRCA gene mutations in cancer 32
- Genomics and Rare Diseases 22
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- Ethics in Clinical Research 12
- Co-authors
- Kieran F. HarveyXiaomeng ZhangMaya KansaraDonald M. KuhnMark J. SmythMichele W.L. TengDina M. Francescutti‐VerbeemJean‐Yves Blay
- Journals
- Journal of Clinical Oncology (27 papers)Journal of Neurochemistry (8 papers)BMC Cancer (7 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
David M. Thomas
282 papers receiving 14.6k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Oral Surgery 1.1k
- Cancer Research 2.2k
- Rheumatology 2.2k
- Oncology 3.9k
- Pulmonary and Respiratory Medicine 3.6k
Countries citing papers authored by David M. Thomas
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
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
The 25 scholars most cited alongside David M. Thomas, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 2 | |
| 7 | Delivering precision oncology to patients with cancerbreakdown → | 2022 | 197 |
| 8 | 2022 | 4 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 35 | |
| 11 | 2019 | 4 | |
| 12 | 2018 | 19 | |
| 13 | 2017 | 11 | |
| 14 | 2015 | 8 | |
| 15 | 2013 | 22 | |
| 16 | Denosumab Induces Tumor Reduction and Bone Formation in Patients with Giant-Cell Tumor of Bonebreakdown → | 2012 | 332 |
| 17 | 2012 | 32 | |
| 18 | 2010 | 86 | |
| 19 | 2009 | 39 | |
| 20 | 2007 | 2 |
About David M. Thomas
David M. Thomas is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 301 papers that have together received 14.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (61 papers), Sarcoma Diagnosis and Treatment (55 papers), BRCA gene mutations in cancer (32 papers), Cancer-related Molecular Pathways (24 papers), Genomics and Rare Diseases (22 papers), Bone Tumor Diagnosis and Treatments (17 papers), Bone health and treatments (14 papers) and Ethics in Clinical Research (12 papers). The work is most often cited by research in Oral Surgery (1.1k citations), Cancer Research (2.2k citations) and Rheumatology (2.2k citations). David M. Thomas has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Kieran F. Harvey, Xiaomeng Zhang, 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. Their work appears in journals such as Journal of Clinical Oncology, Journal of Neurochemistry, BMC Cancer, The Lancet Oncology and Patient Education and Counseling.
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.