T. E. Wheldon

3.0k citations
87 papers · 2.3k · h-index 24

Impact in

Papers in

T. E. Wheldon

85 papers receiving 2.2k citations

Peers

T. E. Wheldon
Comparison fields: 5 of 124
  • Modeling and Simulation 242
  • Radiology, Nuclear Medicine and Imaging 823
  • Radiation 338
  • Cancer Research 313
  • Neurology 289
Replace Robert F. Kallman with:
Robert F. Kallman United States
E.P. Malaise France
N. J. McNally United Kingdom
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Citations per field
00.5×10×14.5×
Robert F. Kallman · 1×
Citations per year

Countries citing papers authored by T. E. Wheldon

Since Specialization
Citations

This map shows the geographic impact of T. E. Wheldon'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 T. E. Wheldon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. E. Wheldon more than expected).

Fields of papers citing papers by T. E. Wheldon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. E. Wheldon. 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 T. E. Wheldon. The network helps show where T. E. Wheldon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Relationships between tumor size and curability for uniformly targeted therapy with beta-emitting radionuclides.
1995294
2
Mathematical models in cancer research
1988177
3 1996105
4 199888
5 199187
6 198286
7 199684
8 199070
9
A radioresistant variant derived from a human neuroblastoma cell line is less prone to radiation-induced apoptosis.
199570
10 199665
11 200164
12 199558
13 199951
14 198043
15 199338
16 199438
17 197835
18 198829
19 197828
20 198127

About T. E. Wheldon

T. E. Wheldon is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology, Radiation and Neurology, having authored 87 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (19 papers), Effects of Radiation Exposure (19 papers), Radiation Therapy and Dosimetry (17 papers), Neuroblastoma Research and Treatments (16 papers), Mathematical Biology Tumor Growth (9 papers), Radiopharmaceutical Chemistry and Applications (8 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Modeling and Simulation (242 citations), Radiology, Nuclear Medicine and Imaging (823 citations), Radiation (338 citations), Cancer Research (313 citations) and Neurology (289 citations). T. E. Wheldon has collaborated with scholars based in United Kingdom, Nepal and Netherlands. Frequent co-authors include Joseph A. O’Donoghue, Manuel Bardiès, James Kirk, A. S. Michalowski, Ann Barrett, James Russell, Mark N. Gaze, R. Mairs, Peter Stanton and C. Deehan. Their work appears in journals such as British Journal of Radiology, British Journal of Cancer, Journal of Theoretical Biology, Radiotherapy and Oncology and Cell Proliferation.

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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