P M Brickell

1.9k citations
44 papers · 1.6k · h-index 21

Impact in

Papers in

    • Developmental Biology and Gene Regulation 6
    • Retinoids in leukemia and cellular processes 5
    • Virus-based gene therapy research 4
    • Animal Genetics and Reproduction 4

P M Brickell

44 papers receiving 1.6k citations

Peers

P M Brickell
Comparison fields: 5 of 92
  • Developmental Biology 52
  • Immunology and Allergy 131
  • Immunology 334
  • Molecular Biology 907
  • Developmental Neuroscience 54
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Citations per field
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Citations per year

Countries citing papers authored by P M Brickell

Since Specialization
Citations

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

Fields of papers citing papers by P M Brickell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996311
2 1989162
3 1996103
4 199598
5 199594
6 199690
7 199566
8
Increased numbers of cells with suppressor T cell phenotype in the peripheral blood of patients with infectious mononucleosis.
198159
9 198948
10 199142
11 199039
12 198839
13 198836
14
A monoclonal antibody to the HLA-DR product recognizes a polymorphic Ia determinant in mice.
198133
15 199633
16 199633
17 199131
18 200328
19 198628
20
Structure of the complete human c-fgr proto-oncogene and identification of multiple transcriptional start sites.
199024

About P M Brickell

P M Brickell is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Surgery, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (6 papers), Cell Adhesion Molecules Research (5 papers), Retinoids in leukemia and cellular processes (5 papers), Virus-based gene therapy research (4 papers), Antioxidant Activity and Oxidative Stress (4 papers), Animal Genetics and Reproduction (4 papers), T-cell and B-cell Immunology (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Developmental Biology (52 citations), Immunology and Allergy (131 citations), Immunology (334 citations), Molecular Biology (907 citations) and Developmental Neuroscience (54 citations). P M Brickell has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include P. H. Francis‐West, Cheryll Tickle, R K Craig, Uwe Ernsberger, Eva Reissmann, Hermann Rohrer, David C. Rueger, John A. Summerfield, Maureen E. Taylor and David R. Katz. Their work appears in journals such as The Journal of Immunology, Biochemical Journal, Development, The International Journal of Developmental Biology and British Journal of Cancer.

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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