K. Wheatley

985 citations
11 papers · 315 · h-index 7

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Cutaneous Melanoma Detection and Management
    • CAR-T cell therapy research

Papers in

    • Cutaneous Melanoma Detection and Management 3
    • Cancer Treatment and Pharmacology 1

K. Wheatley

10 papers receiving 311 citations

Peers

K. Wheatley
Comparison fields: 5 of 63
  • Hematology 86
  • Oncology 134
  • Immunology 66
  • Genetics 53
  • Statistics and Probability 15
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K. Wheatley relative to Atsuko Mugitani Japan Atsuko Mugitani's profile →
Citations per field
00.5×
Atsuko Mugitani · 1×
Citations per year

Countries citing papers authored by K. Wheatley

Since Specialization
Citations

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

Fields of papers citing papers by K. Wheatley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
How to avoid bias when comparing bone marrow transplantation with chemotherapy.
1991114
2 200799
3 201036
4 201122
5 201621
6 201110
7 20177
8 20113
9
Aim high - Adjuvant interferon in melanoma (high risk): No confirmation yet that low dose interferon is of benefit
20012
10
Meta-analysis of dopamine agonist trials in early Parkinsons disease
20041
11
The presence of the factor V Leiden and the prothrombin G20210A polymorphism does not appear to influence the risk of thrombosis in essential thrombocythaernia: results of a nested case control study
20080

About K. Wheatley

K. Wheatley is a scholar working on Oncology, Hematology, Molecular Biology, Neurology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 315 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Cancer Treatment and Pharmacology (1 paper), Cell Image Analysis Techniques (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Neuroscience of respiration and sleep (1 paper), Testicular diseases and treatments (1 paper) and Nonmelanoma Skin Cancer Studies (1 paper). The work is most often cited by research in Hematology (86 citations), Oncology (134 citations), Immunology (66 citations), Genetics (53 citations) and Statistics and Probability (15 citations). K. Wheatley has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Richard Gray, Natalie Ives, Stefan Suciu, John M. Kirkwood, Bruno C. Hancock, S. N. Markovic, N. Cascinelli, A.M.M. Eggermont, Ambuj Kumar and Benjamin Djulbegović. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Haematology, British Journal of Cancer, American Journal of Hematology and Parkinsonism & Related Disorders.

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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