P M Brickell

1.9k citations
45 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 88
  • Developmental Biology 51
  • Immunology and Allergy 127
  • Immunology 323
  • Developmental Neuroscience 52
  • Molecular Biology 879
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B. Robert France
Wojtek Auerbach United States
M L Law United States
Stefanie Kutsch Germany
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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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996313
2 1989163
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 198839
12 199039
13 198836
14 199634
15 199633
16
A monoclonal antibody to the HLA-DR product recognizes a polymorphic Ia determinant in mice.
198133
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 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (6 papers), Retinoids in leukemia and cellular processes (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Virus-based gene therapy research (4 papers), Animal Genetics and Reproduction (4 papers), Antioxidant Activity and Oxidative Stress (4 papers), Cell Adhesion Molecules Research (4 papers) and Osteoarthritis Treatment and Mechanisms (3 papers). The work is most often cited by research in Developmental Biology (51 citations), Immunology and Allergy (127 citations), Immunology (323 citations), Developmental Neuroscience (52 citations) and Molecular Biology (879 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, Eva Reissmann, David C. Rueger, Uwe Ernsberger, Hermann Rohrer, Maureen E. Taylor, John A. Summerfield and Panagiotis Kefalas. Their work appears in journals such as The Journal of Immunology, Development, Biochemical Journal, British Journal of Cancer and The International Journal of Developmental Biology.

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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