P Selby

3.4k citations
57 papers · 2.5k · h-index 28

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Oncology top 2%
    • Cancer survivorship and care
    • Cutaneous Melanoma Detection and Management

Papers in

    • Colorectal Cancer Treatments and Studies 4
    • CAR-T cell therapy research 4
    • Hematopoietic Stem Cell Transplantation 4
    • Multiple Myeloma Research and Treatments 4
    • Acute Myeloid Leukemia Research 4

P Selby

57 papers receiving 2.4k citations

Peers

P Selby
Comparison fields: 5 of 116
  • Hematology 387
  • Oncology 892
  • Immunology and Allergy 171
  • Transplantation 74
  • Immunology 399
Replace Evan R. Farmer with:
Evan R. Farmer United States
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P Selby relative to Evan R. Farmer United States Evan R. Farmer's profile →
Citations per field
00.5×2.6×
Evan R. Farmer · 1×
Citations per year

Countries citing papers authored by P Selby

Since Specialization
Citations

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

Fields of papers citing papers by P Selby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980316
2 1993254
3 1984224
4 1981222
5 1997106
6 199881
7 198973
8 199570
9 199567
10 198563
11 199956
12 199356
13 199754
14
Stromal and vascular invasion in an human in vitro bladder cancer model.
199750
15
Measurement of quality of life in patients with cancer.
198749
16 198346
17 199446
18 198845
19 198944
20 199942

About P Selby

P Selby is a scholar working on Oncology, Hematology, Molecular Biology, Immunology and Pathology and Forensic Medicine, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Herpesvirus Infections and Treatments (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Multiple Myeloma Research and Treatments (4 papers), CAR-T cell therapy research (4 papers), Acute Myeloid Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Hematology (387 citations), Oncology (892 citations), Immunology and Allergy (171 citations), Transplantation (74 citations) and Immunology (399 citations). P Selby has collaborated with scholars based in United Kingdom, Canada and Netherlands. Frequent co-authors include Timothy Perren, Rosamonde E. Banks, T J McElwain, Norman F. Boyd, D. Dalley, JA Chapman, Peter Alexander, R Powles, Beryl Jameson and B. Robertson. Their work appears in journals such as British Journal of Cancer, Annals of Oncology, The Lancet, Cancer Chemotherapy and Pharmacology and Hematological 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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