Peter C. Farley

677 total citations
25 papers, 529 citations indexed

About

Peter C. Farley is a scholar working on Molecular Biology, Biotechnology and Oncology. According to data from OpenAlex, Peter C. Farley has authored 25 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Biotechnology and 4 papers in Oncology. Recurrent topics in Peter C. Farley's work include Enzyme Production and Characterization (8 papers), Phytase and its Applications (3 papers) and Peptidase Inhibition and Analysis (3 papers). Peter C. Farley is often cited by papers focused on Enzyme Production and Characterization (8 papers), Phytase and its Applications (3 papers) and Peptidase Inhibition and Analysis (3 papers). Peter C. Farley collaborates with scholars based in New Zealand, Indonesia and United States. Peter C. Farley's co-authors include Patrick A. Sullivan, Kenneth F. Mangan, G. Chikkappa, John T. Christeller, William A. Laing, Quentin L. Sciascia, Patrick J. B. Edwards, M G Shepherd, P. A. Sullivan and Gillian E. Norris and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Biochemical Journal.

In The Last Decade

Peter C. Farley

24 papers receiving 497 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter C. Farley New Zealand	14	241	122	103	101	68	25	529
Lawrence T. Malek Canada	15	294 1.2×	40 0.3×	91 0.9×	123 1.2×	36 0.5×	20	547
Muriel Bernard France	8	271 1.1×	217 1.8×	216 2.1×	53 0.5×	45 0.7×	9	565
M. B. Arnaud United States	7	373 1.5×	98 0.8×	229 2.2×	17 0.2×	66 1.0×	8	582
Clarice Izumi Brazil	10	236 1.0×	24 0.2×	166 1.6×	19 0.2×	29 0.4×	23	557
Dakshina M. Jandhyala United States	13	254 1.1×	100 0.8×	120 1.2×	113 1.1×	123 1.8×	16	577
Makoto Rokutanda Japan	15	327 1.4×	137 1.1×	56 0.5×	25 0.2×	96 1.4×	31	723
M.S.M. Cavalcanti Brazil	11	145 0.6×	46 0.4×	25 0.2×	21 0.2×	112 1.6×	17	381
Kerstin Mahr Germany	14	384 1.6×	67 0.5×	50 0.5×	96 1.0×	69 1.0×	15	734
Xin Lian China	14	315 1.3×	87 0.7×	46 0.4×	32 0.3×	120 1.8×	32	677
Patricia M. Kooiman Netherlands	9	570 2.4×	25 0.2×	101 1.0×	26 0.3×	45 0.7×	9	1.1k

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-authorship network of co-authors of Peter C. Farley

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

All Works

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20 of 20 papers shown

Farley, Peter C.. (2019). Using role-play to teach novice writers the expectations of journal editors and reviewers. English for Specific Purposes. 55. 1–11. 4 indexed citations

Farley, Peter C.. (2016). Genre Analysis of Decision Letters from Editors of Scientific Journals: Building on Flowerdew and Dudley-Evans (2002). Applied Linguistics. amw043–amw043. 4 indexed citations

Farley, Peter C.. (2011). Should topical opioid analgesics be regarded as effective and safe when applied to chronic cutaneous lesions?. Journal of Pharmacy and Pharmacology. 63(6). 747–756. 28 indexed citations

Headey, Stephen J., Michele Wright, Patrick J. B. Edwards, et al.. (2010). Solution Structure of the Squash Aspartic Acid Proteinase Inhibitor (SQAPI) and Mutational Analysis of Pepsin Inhibition. Journal of Biological Chemistry. 285(35). 27019–27025. 13 indexed citations

Farley, Peter C.. (2009). Psychological type preferences of female missionaries from the United Kingdom. Mental Health Religion & Culture. 12(7). 663–669. 2 indexed citations

Farley, Peter C., et al.. (2007). You be the examiner!. Biochemistry and Molecular Biology Education. 35(6). 392–396. 3 indexed citations

Zhang, Xiuwen, et al.. (2007). GcSTUA, an APSES Transcription Factor, Is Required for Generation of Appressorial Turgor Pressure and Full Pathogenicity of Glomerella cingulata. Molecular Plant-Microbe Interactions. 20(9). 1102–1111. 33 indexed citations

Luo, Lin, et al.. (2007). TheCandida albicansgeneHGT12(orf19.7094) encodes a hexose transporter. FEMS Immunology & Medical Microbiology. 51(1). 14–17. 12 indexed citations

Christeller, John T., et al.. (2006). The Squash Aspartic Proteinase Inhibitor SQAPI Is Widely Present in the Cucurbitales, Comprises a Small Multigene Family, and Is a Member of the Phytocystatin Family. Journal of Molecular Evolution. 63(6). 747–757. 11 indexed citations

10.

Sciascia, Quentin L., Patrick A. Sullivan, & Peter C. Farley. (2004). Deletion of the Candida albicans G-protein-coupled receptor, encoded by orf19.1944 and its allele orf19.9499 , produces mutants defective in filamentous growth. Canadian Journal of Microbiology. 50(12). 1081–1085. 6 indexed citations

11.

Sciascia, Quentin L., et al.. (2004). Identification of the dialysable serum inducer of germ-tube formation in Candida albicans. Microbiology. 150(9). 3041–3049. 64 indexed citations

12.

Farley, Peter C., et al.. (2002). Regulation of expression of theRhizopusoryzaeuricase and urease enzymes. Canadian Journal of Microbiology. 48(12). 1104–1108. 14 indexed citations

13.

Sullivan, Patrick A., et al.. (2002). Peptide inhibitors of appressorium development inGlomerella cingulata. FEMS Microbiology Letters. 209(2). 203–207. 2 indexed citations

14.

Farley, Peter C., et al.. (2002). Analysis of the interaction between the aspartic peptidase inhibitor SQAPI and aspartic peptidases using surface plasmon resonance. Journal of Molecular Recognition. 15(3). 135–144. 16 indexed citations

15.

Christeller, John T., et al.. (1998). Purification, characterization and cloning of an aspartic proteinase inhibitor from squash phloem exudate. European Journal of Biochemistry. 254(1). 160–167. 74 indexed citations

16.

Farley, Peter C. & Patrick A. Sullivan. (1998). The Rhizopus oryzae secreted aspartic proteinase gene family: an analysis of gene expression. Microbiology. 144(8). 2355–2366. 19 indexed citations

17.

Farley, Peter C., et al.. (1992). Regulation of the secretion of Rhizopus oligosporus extracellular carboxyl proteinase. Journal of General Microbiology. 138(12). 2539–2544. 24 indexed citations

18.

Farley, Peter C., et al.. (1990). Iron deficiency anemia. Postgraduate Medicine. 87(2). 89–101. 10 indexed citations

19.

Farley, Peter C., et al.. (1988). Colorectal cancer. Postgraduate Medicine. 84(6). 175–183. 1 indexed citations

20.

Farley, Peter C., M G Shepherd, & P. A. Sullivan. (1986). The Cellular Location of Proteases in Candida albicans. Microbiology. 132(11). 3235–3238. 7 indexed citations

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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