P A Campbell

7.4k citations
54 papers · 6.0k indexed · 3 hit papers · h-index 29

P A Campbell

54 papers receiving 5.8k citations

Hit Papers

Cytidine methylation of regulatory sequences near the pi-...641199220262003201450010001.5k2.0k2.5k

Peers

P A Campbell
Comparison fields: 5 of 139
  • Immunology 2.4k
  • Molecular Biology 3.1k
  • Biotechnology 342
  • Cancer Research 475
  • Immunology and Allergy 170
Replace Richard C. Duke with:
Richard C. Duke United States
Sandip K. Basu United States
Keith K. Stanley Australia
David J. Livingston United States
Melissa H. Wong United States
Dolph O. Adams United States
Beni B. Wolf United States
Henning R. Stennicke Denmark
Sean P. Cullen Ireland
Bellur S. Prabhakar United States
P A Campbell relative to Richard C. Duke United States Richard C. Duke's profile →
Citations per field
00.5×4.4×
Richard C. Duke · 1×
Citations per year

Countries citing papers authored by P A Campbell

Since Specialization
Citations

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

Fields of papers citing papers by P A Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20227
2 202127
3 20207
4 2016179
5 200781
6 200558
7 200054
8 199793
9
Phenylbutyrate induces apoptosis in human prostate cancer and is more potent than phenylacetate.
1996133
10 199636
11 199472
12 199351
13
Different populations of macrophages use either the vitronectin receptor or the phosphatidylserine receptor to recognize and remove apoptotic cellsbreakdown →
1992508
14 199194
15 199018
16 19898
17 198910
18 198873
19 198842
20
Stimulation of B cells, but not T cells or thymocytes, by a sialic acid-specific lectin.
198213

About P A Campbell

P A Campbell is a scholar working on Biotechnology, Immunology and Endocrinology, having authored 54 papers that have together received 6.0k indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (9 papers), T-cell and B-cell Immunology (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Pluripotent Stem Cells Research (4 papers), Immune Cell Function and Interaction (4 papers), Phagocytosis and Immune Regulation (4 papers), Macrophage Migration Inhibitory Factor (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Immunology (2.4k citations), Molecular Biology (3.1k citations) and Biotechnology (342 citations). P A Campbell has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Donna L. Bratton, Peter M. Henson, Valerie A. Fadok, John Cohen, Dennis R. Voelker, Douglas A. Drevets, William G. Nelson, B P Canono, Dennis E. Doherty and Christopher Haslett. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

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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2026