Stephen Pyecroft

1.8k total citations
31 papers, 1.1k citations indexed

About

Stephen Pyecroft is a scholar working on Pulmonary and Respiratory Medicine, Microbiology and Immunology. According to data from OpenAlex, Stephen Pyecroft has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 10 papers in Microbiology and 9 papers in Immunology. Recurrent topics in Stephen Pyecroft's work include Veterinary Oncology Research (13 papers), Microbial infections and disease research (10 papers) and Aquaculture disease management and microbiota (9 papers). Stephen Pyecroft is often cited by papers focused on Veterinary Oncology Research (13 papers), Microbial infections and disease research (10 papers) and Aquaculture disease management and microbiota (9 papers). Stephen Pyecroft collaborates with scholars based in Australia, Iran and United States. Stephen Pyecroft's co-authors include Katherine Belov, Alexandre Kreiss, GM Woods, Mark D. B. Eldridge, Dane Hayes, Richmond Loh, Shane Raidal, Hannah V. Siddle, Candice Clarke and A. O'Hara and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Stephen Pyecroft

29 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Pyecroft Australia 16 481 468 275 245 199 31 1.1k
Kate Swift Australia 12 468 1.0× 428 0.9× 237 0.9× 175 0.7× 141 0.7× 15 991
Alexandre Kreiss Australia 19 668 1.4× 624 1.3× 298 1.1× 167 0.7× 263 1.3× 25 1.2k
Hannah V. Siddle Australia 17 539 1.1× 516 1.1× 364 1.3× 220 0.9× 433 2.2× 34 1.4k
Anne‐Maree Pearse Australia 8 366 0.8× 330 0.7× 211 0.8× 97 0.4× 105 0.5× 11 704
Lubna Nasir United Kingdom 23 478 1.0× 192 0.4× 413 1.5× 341 1.4× 160 0.8× 41 2.0k
Billie Lazenby Australia 10 331 0.7× 341 0.7× 344 1.3× 453 1.8× 41 0.2× 14 1.0k
Samantha Fox Australia 18 239 0.5× 270 0.6× 313 1.1× 545 2.2× 66 0.3× 41 1.4k
David Pemberton Australia 25 395 0.8× 407 0.9× 407 1.5× 1.3k 5.2× 88 0.4× 73 2.2k
Shin‐je Ghim United States 25 201 0.4× 189 0.4× 279 1.0× 285 1.2× 354 1.8× 52 1.7k
P. W. Ladds Australia 19 275 0.6× 163 0.3× 215 0.8× 118 0.5× 151 0.8× 96 1.4k

Countries citing papers authored by Stephen Pyecroft

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Pyecroft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Pyecroft. 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 Stephen Pyecroft. The network helps show where Stephen Pyecroft may publish in the future.

Co-authorship network of co-authors of Stephen Pyecroft

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Pyecroft. A scholar is included among the top collaborators of Stephen Pyecroft 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 Stephen Pyecroft. Stephen Pyecroft 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
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Munro, James, et al.. (2021). Supplementation of Nucleotides to Enhance Performance and Immune Responses of Asian Seabass. Jordan Journal of Biological Sciences. 14(4). 621–628. 1 indexed citations
4.
Pyecroft, Stephen, et al.. (2020). Seasonal microbial profiling of left kidney and stomach of farmed adult greenlip abalone ( Haliotis laevigata ). Aquaculture Research. 52(5). 2085–2096. 4 indexed citations
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Hayes, Dane, Dale Kunde, Robyn Taylor, et al.. (2017). ERBB3: A potential serum biomarker for early detection and therapeutic target for devil facial tumour 1 (DFT1). PLoS ONE. 12(6). e0177919–e0177919. 4 indexed citations
7.
Dennis, Michelle M., et al.. (2016). Pathology of finfish and mud crabs Scylla serrata during a mortality event associated with a harbour development project in Port Curtis, Australia. Diseases of Aquatic Organisms. 121(3). 173–188. 16 indexed citations
8.
Phalen, David N., et al.. (2015). Doxorubicin and carboplatin trials in Tasmanian devils (Sarcophilus harrisii) with Tasmanian devil facial tumor disease. The Veterinary Journal. 206(3). 312–316. 6 indexed citations
9.
Phalen, David N., Angela E. Frimberger, Stephen Pyecroft, et al.. (2013). Vincristine Chemotherapy Trials and Pharmacokinetics in Tasmanian Devils with Tasmanian Devil Facial Tumor Disease. PLoS ONE. 8(6). e65133–e65133. 18 indexed citations
10.
Újvári, Beáta, Anne‐Maree Pearse, Kate Swift, et al.. (2013). Anthropogenic selection enhances cancer evolution in Tasmanian devil tumours. Evolutionary Applications. 7(2). 260–265. 22 indexed citations
11.
Swift, Kate, Hamish McCallum, Stephen Pyecroft, et al.. (2012). Evolution in a transmissible cancer: a study of the chromosomal changes in devil facial tumor (DFT) as it spreads through the wild Tasmanian devil population. Cancer Genetics. 205(3). 101–112. 59 indexed citations
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Corbeil, Serge, Axel Colling, LM Williams, et al.. (2010). Development and validation of a TaqMan® PCR assay for the Australian abalone herpes-like virus. Diseases of Aquatic Organisms. 92(1). 1–10. 40 indexed citations
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Murchison, Elizabeth P., Cesar Tovar, Arthur Hsu, et al.. (2009). The Tasmanian Devil Transcriptome Reveals Schwann Cell Origins of a Clonally Transmissible Cancer. Science. 327(5961). 84–87. 4 indexed citations
14.
Vetter, Walter, Roland von der Recke, Robert Symons, & Stephen Pyecroft. (2008). Determination of polybrominated biphenyls in Tasmanian devils ( Sarcophilus harrisii ) by gas chromatography coupled to electron capture negative ion tandem mass spectrometry or electron ionization high‐resolution mass spectrometry. Rapid Communications in Mass Spectrometry. 22(24). 4165–4170. 12 indexed citations
15.
Kreiss, Alexandre, et al.. (2007). Assessment of cellular immune responses of healthy and diseased Tasmanian devils (Sarcophilus harrisii). Developmental & Comparative Immunology. 32(5). 544–553. 41 indexed citations
16.
Pyecroft, Stephen, Richmond Loh, Kate Swift, et al.. (2007). Towards a Case Definition for Devil Facial Tumour Disease: What Is It?. EcoHealth. 4(3). 346–351. 66 indexed citations
17.
Hawkins, Clare E., H. Hesterman, Greg Hocking, et al.. (2006). Emerging disease and population decline of an island endemic, the Tasmanian devil Sarcophilus harrisii. Biological Conservation. 131(2). 307–324. 277 indexed citations
18.
Carson, J, et al.. (2006). Rock Lobster Enhancement and Aquaculture Subprogram: Health Assurance Of Southern Rock Lobsters. eCite Digital Repository (University of Tasmania). 3 indexed citations
19.
Ross, T, et al.. (2005). Superoxide production by marine microalgae. Marine Biology. 147(2). 541–549. 76 indexed citations
20.
Pyecroft, Stephen, et al.. (2001). Mortalities of Penaeus japonicus prawns associated with microsporidean infection. Australian Veterinary Journal. 79(7). 504–505. 27 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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