Tom B. Davidson
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Co-authors
- Julia E. Heck (3 shared papers)Myles Cockburn (3 shared papers)William H. Yong (5 shared papers)Robert M. Prins (6 shared papers)Linda M. Liau (5 shared papers)Zuelma A. Contreras (2 shared papers)Andrew S. Park (2 shared papers)Beate Ritz (2 shared papers)
- Journals
- Neuro-Oncology (9 papers)Neuro-Oncology Advances (2 papers)Neoplasia (2 papers)Pediatric Blood & Cancer (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Tom B. Davidson
28 papers receiving 397 citations
Peers
Comparison fields: 5 of 61
- Genetics 110
- Immunology 80
- Oncology 95
- Neurology 51
- Cancer Research 27
Countries citing papers authored by Tom B. Davidson
This map shows the geographic impact of Tom B. Davidson'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 B. Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom B. Davidson more than expected).
Fields of papers citing papers by Tom B. Davidson
This network shows the impact of papers produced by Tom B. Davidson. 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 B. Davidson. The network helps show where Tom B. Davidson may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom B. Davidson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Autologous tumor lysate-pulsed dendritic cell immunotherapy for pediatric patients with newly diagnosed or recurrent high-grade gliomas. | 2013 | 57 |
| 2 | 2016 | 54 | |
| 3 | 2013 | 37 | |
| 4 | 2012 | 33 | |
| 5 | 2016 | 33 | |
| 6 | 2016 | 30 | |
| 7 | 2013 | 26 | |
| 8 | 2016 | 21 | |
| 9 | 2019 | 20 | |
| 10 | 2016 | 16 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 11 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 7 | |
| 15 | 2015 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2011 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2017 | 2 |
About Tom B. Davidson
Tom B. Davidson is a scholar working on Genetics, Oncology, Molecular Biology, Neurology and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 401 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Neuroblastoma Research and Treatments (5 papers), Brain Metastases and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Genetics (110 citations), Immunology (80 citations), Oncology (95 citations), Neurology (51 citations) and Cancer Research (27 citations). Tom B. Davidson has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Julia E. Heck, Myles Cockburn, William H. Yong, Robert M. Prins, Linda M. Liau, Zuelma A. Contreras, Andrew S. Park, Beate Ritz, Richard Sposto and Ashley Plant. Their work appears in journals such as Neuro-Oncology, Neuro-Oncology Advances, Neoplasia, Pediatric Blood & Cancer and Clinical Cancer Research.
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.