Tom B. Davidson

2.4k citations
30 papers · 391 · h-index 12

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Glioma Diagnosis and Treatment 16
    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 2

Tom B. Davidson

28 papers receiving 388 citations

Peers

Tom B. Davidson
Comparison fields: 5 of 61
  • Genetics 107
  • Immunology 78
  • Oncology 93
  • Neurology 46
  • Cancer Research 27
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Citations per field
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Citations per year

Countries citing papers authored by Tom B. Davidson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tom B. Davidson Line = papers co-authored together Tom B. Davidson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 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.
201356
2 201654
3 201336
4 201232
5 201632
6 201629
7 201326
8 201621
9 201920
10 201615
11 202012
12 202011
13 20238
14 20237
15 20156
16 20216
17 20244
18 20243
19 20172
20 20182

About Tom B. Davidson

Tom B. Davidson is a scholar working on Genetics, Oncology, Molecular Biology, Neurology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 391 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), Immunotherapy and Immune Responses (3 papers), Hedgehog Signaling Pathway Studies (2 papers), CAR-T cell therapy research (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Genetics (107 citations), Immunology (78 citations), Oncology (93 citations), Neurology (46 citations) and Cancer Research (27 citations). Tom B. Davidson has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Myles Cockburn, Julia E. Heck, William H. Yong, Linda M. Liau, Robert M. Prins, Zuelma A. Contreras, Beate Ritz, Andrew S. Park, Ashley Plant and Eduard H. Panosyan. Their work appears in journals such as Neuro-Oncology, Pediatric Blood & Cancer, Neuro-Oncology Advances, Neoplasia and Journal of Clinical Oncology.

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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