P Selby

3.4k citations
57 papers · 2.5k indexed · h-index 28
  • Oncology top 2%
    • CAR-T cell therapy research 5
    • Colorectal Cancer Treatments and Studies 4
  • Hematology top 2%
    • Multiple Myeloma Research and Treatments 4
    • Hematopoietic Stem Cell Transplantation 4
    • Acute Myeloid Leukemia Research 4
    • Cell Adhesion Molecules Research 4
  • Immunology top 5%
    • Immunotherapy and Immune Responses 4
    • Herpesvirus Infections and Treatments 4

P Selby

57 papers receiving 2.4k citations

Peers

P Selby
Comparison fields: 5 of 118
  • Oncology 1.0k
  • Hematology 407
  • Immunology and Allergy 197
  • Transplantation 76
  • Immunology 440
Replace Anne Angiolillo with:
Anne Angiolillo United States
Susan B. Shurin United States
Michael A. Bean United States
Takahiro Okamoto Japan
Jean-Philippe Jaı̈s France
Edward W. Cowen United States
David Wofsy United States
Irene Schmid Germany
Selim Corbacioglu Germany
Ramesh Saxena United States
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Citations per field
00.5×4.8×
Anne Angiolillo · 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-authorship network

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
#Work
1 20067
2 199942
3 199882
4 19975
5 199754
6 19974
7
Stromal and vascular invasion in an human in vitro bladder cancer model.
199750
8 199618
9 199514
10 199356
11 199217
12 19921
13 199018
14 198973
15 198944
16
Tumour necrosis factor: clinical relevance.
198938
17 198828
18 198819
19 198563
20 1980316

About P Selby

P Selby is a scholar working on Oncology, Hematology, Immunology and Allergy, Immunology and Genetics, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Multiple Myeloma Research and Treatments (4 papers), Immunotherapy and Immune Responses (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Acute Myeloid Leukemia Research (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Herpesvirus Infections and Treatments (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Oncology (1.0k citations), Hematology (407 citations), Immunology and Allergy (197 citations), Transplantation (76 citations) and Immunology (440 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, B. Robertson and Beryl Jameson. Their work appears in journals such as British Journal of Cancer, Annals of Oncology, The Lancet, British Journal of Haematology and Cancer Chemotherapy and Pharmacology.

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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