P. M. Biggs

650 total citations
18 papers, 491 citations indexed

About

P. M. Biggs is a scholar working on Epidemiology, Immunology and Animal Science and Zoology. According to data from OpenAlex, P. M. Biggs has authored 18 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 8 papers in Immunology and 4 papers in Animal Science and Zoology. Recurrent topics in P. M. Biggs's work include Herpesvirus Infections and Treatments (11 papers), Cytomegalovirus and herpesvirus research (6 papers) and Pharmacological Effects of Natural Compounds (3 papers). P. M. Biggs is often cited by papers focused on Herpesvirus Infections and Treatments (11 papers), Cytomegalovirus and herpesvirus research (6 papers) and Pharmacological Effects of Natural Compounds (3 papers). P. M. Biggs collaborates with scholars based in United States and United Kingdom. P. M. Biggs's co-authors include L. N. Payne, Venugopal Nair, R. C. Chubb, Robin A. Weiss, A. E. Churchill, M. A. Epstein, B. G. Achong, A. S. King, B. Michael Longenecker and W M Gallatin and has published in prestigious journals such as Nature, The Journal of Physiology and JNCI Journal of the National Cancer Institute.

In The Last Decade

P. M. Biggs

17 papers receiving 392 citations

Peers

P. M. Biggs
Comparison fields: 5 of 59
  • Epidemiology 326
  • Animal Science and Zoology 144
  • Immunology 89
  • Genetics 87
  • Molecular Biology 66
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Citations per field, relative to P. M. Biggs
P. M. Biggs · 1×
Citations per year, relative to P. M. Biggs
P. M. Biggs · 1×

Countries citing papers authored by P. M. Biggs

Since Specialization
Citations

This map shows the geographic impact of P. M. Biggs'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. Biggs 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. Biggs more than expected).

Fields of papers citing papers by P. M. Biggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. M. Biggs

This figure shows the co-authorship network connecting the top 25 collaborators of P. M. Biggs. A scholar is included among the top collaborators of P. M. Biggs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. M. Biggs. P. M. Biggs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 73
2 1
3
Cell-mediated immune response against a Marek's disease lymphoma cell line, MSB-1, by lymphocytes obtained from chickens vaccinated with the herpesvirus of turkeys.
2
4
Non-MHC-associated genetic resistance to Marek's disease: expression at the target cell level.
5
5
Cell-mediated cytotoxicity in chickens infected with Marek's disease virus and the herpesvirus of turkeys.
4
6
Differential diagnosis of avian lymphoid leukosis and Marek's disease
6
7 33
8 2
9 40
10 34
11 64
12 60
13 68
14
Relationship of Marek's disease (neural lymphomatosis) to lymphoid leukosis.
21
15
Pathological Changes Following the Inoculation of Chick Embryos with Adult Cells: I. Spleen Cells
24
16 35
17 14
18 5

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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