Peter Goon

57 papers receiving 2.4k citations

Peter Goon's Hit Papers

Spread of HTLV-I Between Lymphocytes by Virus-Induced Polarization of the Cytoskeleton 2003 · 612 citations
6120+7+15Years since publication200400600

Peers

Peter Goon
Comparison fields: 5 of 98
  • Otorhinolaryngology 428
  • Agronomy and Crop Science 716
  • Immunology 1.2k
  • Ecology, Evolution, Behavior and Systematics 623
  • Virology 123
Replace Annarosa Del Mistro with:
Annarosa Del Mistro Italy
Wayne D. Lancaster United States
W D Lancaster United States
L P Turek United States
Janet L. Brandsma United States
Bodil Norrild Denmark
E M de Villiers Germany
Frank Stubenrauch Germany
Kerstin I. Falk Sweden
B. G. Achong United Kingdom
Peter Goon relative to Annarosa Del Mistro Italy Annarosa Del Mistro's profile →
Citations per field
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Annarosa Del Mistro · 1×
Citations per year

Countries citing papers authored by Peter Goon

Since Specialization
Citations

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

Fields of papers citing papers by Peter Goon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Goon, 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 Goon Line = papers co-authored together Peter Goon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spread of HTLV-I Between Lymphocytes by Virus-Induced Polarization of the Cytoskeleton
Hit paper breakdown →
2003612
2 2014226
3 2009152
4 200799
5 200694
6 200282
7 200177
8 200472
9 200572
10 201272
11 200471
12 201169
13 200461
14 200353
15 201347
16 201646
17 201543
18 201142
19 200341
20 201139

About Peter Goon

Peter Goon is a scholar working on Epidemiology, Immunology, Otorhinolaryngology, Oncology and Ecology, Evolution, Behavior and Systematics, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (12 papers), Head and Neck Cancer Studies (11 papers), Vector-Borne Animal Diseases (10 papers), Cervical Cancer and HPV Research (10 papers), Animal Disease Management and Epidemiology (10 papers), Head and Neck Surgical Oncology (5 papers), Polyomavirus and related diseases (3 papers) and Autoimmune Bullous Skin Diseases (3 papers). The work is most often cited by research in Otorhinolaryngology (428 citations), Agronomy and Crop Science (716 citations), Immunology (1.2k citations), Ecology, Evolution, Behavior and Systematics (623 citations) and Virology (123 citations). Peter Goon has collaborated with scholars based in United Kingdom, Germany and Singapore. Frequent co-authors include Charles R. M. Bangham, Graham P. Taylor, Holger Sudhoff, Jonathan Weber, Yuetsu Tanaka, Tadahiko Igakura, Margaret Stanley, Mitsuhiro Osame, Jane Sterling and Gillian M. Griffiths. Their work appears in journals such as BMC Cancer, Blood, Acta Dermato Venereologica, The Journal of Infectious Diseases and European Archives of Oto-Rhino-Laryngology.

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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