P. C. Pearce

1.4k total citations
53 papers, 990 citations indexed

About

P. C. Pearce is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, P. C. Pearce has authored 53 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 9 papers in Genetics. Recurrent topics in P. C. Pearce's work include Neuroscience and Neuropharmacology Research (10 papers), Bacillus and Francisella bacterial research (8 papers) and Yersinia bacterium, plague, ectoparasites research (5 papers). P. C. Pearce is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Bacillus and Francisella bacterial research (8 papers) and Yersinia bacterium, plague, ectoparasites research (5 papers). P. C. Pearce collaborates with scholars based in United Kingdom, United States and Germany. P. C. Pearce's co-authors include Elizabeth Scott, Neil G. Muggleton, H. S. Crofts, Michelle Nelson, Andrew J. H. Simpson, Mark S. Lever, Daniel Stevens, Leah Scott, Christopher R. Pryce and Claudia S. Maier and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Cardiovascular Research and Thorax.

In The Last Decade

P. C. Pearce

52 papers receiving 937 citations

Peers

P. C. Pearce
Comparison fields: 5 of 139
  • Molecular Biology 180
  • Small Animals 174
  • Genetics 169
  • Social Psychology 159
  • Cognitive Neuroscience 127
Replace Thomas E. Goetz with:
Thomas E. Goetz United States
Luigi Avallone Italy
M. K. McClintock United States
Volker Stefanski Germany
David Val‐Laillet France
H. Hackbarth Germany
William W. Ruehl United States
H Pfister Switzerland
William T. Oliver United States
Penny Hawkins United Kingdom
Thomas E. Goetz United States View profile →
Citations per field, relative to P. C. Pearce
P. C. Pearce · 1×
Citations per year, relative to P. C. Pearce
P. C. Pearce · 1×

Countries citing papers authored by P. C. Pearce

Since Specialization
Citations

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

Fields of papers citing papers by P. C. Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. C. Pearce

This figure shows the co-authorship network connecting the top 25 collaborators of P. C. Pearce. A scholar is included among the top collaborators of P. C. Pearce 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. C. Pearce. P. C. Pearce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 12
2 32
3 71
4 33
5 39
6 49
7 5
8 3
9 8
10 7
11 11
12 34
13 40
14 4
15 34
16 11
17 8
18 10
19 7
20 10

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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