Peter C. Farley

661 citations
23 papers · 561 · h-index 15

Impact in

Papers in

    • Enzyme Catalysis and Immobilization 2
    • Fungal and yeast genetics research 2
    • Genomics and Phylogenetic Studies 2
    • Enzyme Production and Characterization 8

Peter C. Farley

23 papers receiving 524 citations

Peers

Peter C. Farley
Comparison fields: 5 of 87
  • Biotechnology 106
  • Infectious Diseases 113
  • Genetics 51
  • Hematology 45
  • Molecular Biology 255
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Fraser Morton United Kingdom
Clarice Izumi Brazil
Rita Setroikromo Netherlands
Lawrence T. Malek Canada
Kyongsu Hong Japan
Lilian Caroline Gonçalves de Oliveira Brazil
Chieko Hashizume Japan
Maxim Pimkin United States
Min Ah Lee South Korea
Yajun Shan China
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Citations per year

Countries citing papers authored by Peter C. Farley

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Farley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Peter C. Farley, 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 Peter C. Farley Line = papers co-authored together Peter C. Farley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982103
2 199880
3 200471
4 200237
5 200733
6 201129
7 199825
8 199225
9 198623
10 201319
11 200216
12 200216
13 200415
14 200714
15 201014
16 200612
17 19867
18 20046
19 20165
20 20194

About Peter C. Farley

Peter C. Farley is a scholar working on Molecular Biology, Biotechnology, Plant Science, Oncology and Developmental and Educational Psychology, having authored 23 papers that have together received 561 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (8 papers), Phytase and its Applications (3 papers), Peptidase Inhibition and Analysis (3 papers), Enzyme Catalysis and Immobilization (2 papers), Antifungal resistance and susceptibility (2 papers), Fungal and yeast genetics research (2 papers), Mycorrhizal Fungi and Plant Interactions (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Biotechnology (106 citations), Infectious Diseases (113 citations), Genetics (51 citations), Hematology (45 citations) and Molecular Biology (255 citations). Peter C. Farley has collaborated with scholars based in New Zealand, Indonesia and United States. Frequent co-authors include Patrick A. Sullivan, Kenneth F. Mangan, G. Chikkappa, John T. Christeller, William A. Laing, Patrick J. B. Edwards, M G Shepherd, Quentin L. Sciascia, Gillian E. Norris and P. A. Sullivan. Their work appears in journals such as Microbiology, Canadian Journal of Microbiology, International Dairy Journal, European Journal of Plant Pathology and Biochemical Journal.

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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