T.K. Wheeler

18 papers receiving 454 citations

Peers

T.K. Wheeler
Comparison fields: 5 of 78
  • Biological Psychiatry 24
  • Behavioral Neuroscience 26
  • Oncology 144
  • Genetics 58
  • Otorhinolaryngology 15
Replace Howard M. Smedley with:
Howard M. Smedley United Kingdom
Bang‐Ning Lee United States
Mariana Postal Brazil
Maike Rieks Germany
Juliana Bottomley United Kingdom
Alberto Angeli Italy
Todd M Shawler United States
Tyler A. Scullen United States
Kisoo Pahk South Korea
Ali Şengül Türkiye
T.K. Wheeler relative to Howard M. Smedley United Kingdom Howard M. Smedley's profile →
Citations per field
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Citations per year

Countries citing papers authored by T.K. Wheeler

Since Specialization
Citations

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

Fields of papers citing papers by T.K. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983202
2 198480
3 198146
4 198434
5 199033
6 198331
7 199928
8 199315
9 197013
10 19728
11 19774
12 19783
13 19832
14 19842
15 19832
16
Combination chemotherapy in advanced breast cancer. A report of the Working Party of the Multicentre Cancer Chemotherapy Group.
19801
17
Comparison of 5-day and 2-day cyclical combination chemotherapy in advanced breast cancer.
19791
18 19901
19 19711
20
RESULTS OF THE CANCER-RESEARCH CAMPAIGN ADJUVANT TRIAL FOR PERIOPERATIVE CYCLOPHOSPHAMIDE AND LONG-TERM TAMOXIFEN IN EARLY BREAST-CANCER REPORTED AT THE 10TH YEAR OF FOLLOW-UP
19921

About T.K. Wheeler

T.K. Wheeler is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Physiology and Genetics, having authored 24 papers that have together received 508 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Cancer Treatment and Pharmacology (5 papers), Estrogen and related hormone effects (2 papers), Glioma Diagnosis and Treatment (2 papers), Cancer Diagnosis and Treatment (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced Breast Cancer Therapies (2 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Biological Psychiatry (24 citations), Behavioral Neuroscience (26 citations), Oncology (144 citations), Genetics (58 citations) and Otorhinolaryngology (15 citations). T.K. Wheeler has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Howard M. Smedley, Karol Sikora, Nicholas D. Barnes, Valerie Broadbent, Carmen J. Williams, R. B. Buchanan, C. Hendricks Brown, Philip Palin Dendy, A.B.W. Nethersell and Su M Metcalfe. Their work appears in journals such as The Lancet, Clinical Radiology, Clinical Oncology, British Journal of Cancer and Journal of the Royal Society of Medicine.

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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