D. Thornton

553 citations
27 papers · 453 · h-index 10

Impact in

Papers in

    • Cancer Treatment and Pharmacology 11
    • Colorectal Cancer Treatments and Studies 4
    • Glioma Diagnosis and Treatment 10

D. Thornton

25 papers receiving 444 citations

Peers

D. Thornton
Comparison fields: 5 of 56
  • Genetics 178
  • Otorhinolaryngology 33
  • Oncology 176
  • Cancer Research 94
  • Pulmonary and Respiratory Medicine 140
Replace Patricia Tresca with:
Patricia Tresca France
Budhi Singh Yadav India
Zhen Zheng China
Masako Uno Japan
Minsig Choi United States
Eric Xueyu Chen Canada
Lucia Trandafir Switzerland
Panteli Theocharous United Kingdom
Raja Mudad United States
Julio A. Peguero United States
D. Thornton relative to Patricia Tresca France Patricia Tresca's profile →
Citations per field
00.5×2.8×
Patricia Tresca · 1×
Citations per year

Countries citing papers authored by D. Thornton

Since Specialization
Citations

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

Fields of papers citing papers by D. Thornton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Thornton, 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 D. Thornton Line = papers co-authored together D. Thornton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200582
2 200080
3 201165
4
A phase II trial of paclitaxel in squamous cell carcinoma of the head and neck with correlative laboratory studies.
199551
5 201033
6 200827
7 200921
8 200413
9 199713
10 196811
11 20069
12 20069
13 20099
14 20087
15 20085
16 20093
17 20073
18 20242
19 20042
20 20062

About D. Thornton

D. Thornton is a scholar working on Oncology, Genetics, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 453 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (11 papers), Glioma Diagnosis and Treatment (10 papers), Cancer, Hypoxia, and Metabolism (8 papers), Colorectal Cancer Treatments and Studies (4 papers), Lung Cancer Treatments and Mutations (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Photochemistry and Electron Transfer Studies (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Genetics (178 citations), Otorhinolaryngology (33 citations), Oncology (176 citations), Cancer Research (94 citations) and Pulmonary and Respiratory Medicine (140 citations). D. Thornton has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Luna Musib, Jeffrey A. Allen, Roy E. Smith, Howard A. Fine, Paul S. Albert, Eric K. Rowinsky, Jeffrey W. Clark, Joel Picus, Patrick J. Loehrer and Lawrence N. Shulman. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Annals of Oncology, Phytochemical Analysis and The Journal of Physical Chemistry.

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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