Peter C. Farley

677 citations
25 papers · 529 · h-index 14

Impact in

Papers in

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

Peter C. Farley

24 papers receiving 497 citations

Peers

Peter C. Farley
Comparison fields: 5 of 93
  • Biotechnology 101
  • Infectious Diseases 103
  • Genetics 51
  • Hematology 49
  • Molecular Biology 241
Replace Clarice Izumi with:
Clarice Izumi Brazil
Ewa Wasilewska Poland
Lawrence T. Malek Canada
M.S.M. Cavalcanti Brazil
Song‐Nan Su Taiwan
Lilian Caroline Gonçalves de Oliveira Brazil
Muriel Bernard France
Min Ah Lee South Korea
M. B. Arnaud United States
Kyongsu Hong Japan
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Citations per field
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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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198296
2 199874
3 200464
4 200733
5 200232
6 201128
7 199224
8 198622
9 199819
10 201317
11 200216
12 200415
13 200214
14 201013
15 200712
16 200611
17 199010
18 19867
19 20046
20 20194

About Peter C. Farley

Peter C. Farley is a scholar working on Molecular Biology, Biotechnology, Oncology, Plant Science and Developmental and Educational Psychology, having authored 25 papers that have together received 529 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (8 papers), Peptidase Inhibition and Analysis (3 papers), Phytase and its Applications (3 papers), Probiotics and Fermented Foods (2 papers), Genomics and Phylogenetic Studies (2 papers), Fungal and yeast genetics research (2 papers), Enzyme Catalysis and Immobilization (2 papers) and Mycorrhizal Fungi and Plant Interactions (2 papers). The work is most often cited by research in Biotechnology (101 citations), Infectious Diseases (103 citations), Genetics (51 citations), Hematology (49 citations) and Molecular Biology (241 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, Quentin L. Sciascia, Patrick J. B. Edwards, P. A. Sullivan, M G Shepherd and Gillian E. Norris. Their work appears in journals such as Microbiology, Canadian Journal of Microbiology, Molecular Plant-Microbe Interactions, Journal of Pharmacy and Pharmacology and European Journal of Biochemistry.

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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