T. G. Wise

456 citations
13 papers · 384 · h-index 11

Impact in

Papers in

    • Animal Virus Infections Studies 2
    • Animal Nutrition and Physiology 2
    • Influenza Virus Research Studies 3
    • Respiratory viral infections research 2
    • Cytomegalovirus and herpesvirus research 2

T. G. Wise

13 papers receiving 335 citations

Peers

T. G. Wise
Comparison fields: 5 of 57
  • Virology 33
  • Animal Science and Zoology 68
  • Immunology 106
  • Infectious Diseases 85
  • Epidemiology 142
Replace Ursula Sattler with:
Ursula Sattler Switzerland
Albert Osterhaus Netherlands
Françoise Pozet Poland
R.P. Hedrick United States
Željko Županović Australia
Marcos Isidoro‐Ayza United States
GL REDDACLIFF Australia
R. M. Elliott United Kingdom
Michael Gotesman United States
Richard C. Cambre United States
T. G. Wise relative to Ursula Sattler Switzerland Ursula Sattler's profile →
Citations per field
00.5×2×2.7×
Ursula Sattler · 1×
Citations per year

Countries citing papers authored by T. G. Wise

Since Specialization
Citations

This map shows the geographic impact of T. G. Wise'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 T. G. Wise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. G. Wise more than expected).

Fields of papers citing papers by T. G. Wise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. G. Wise. 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 T. G. Wise. The network helps show where T. G. Wise may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200291
2 199762
3 197735
4 197935
5 199827
6 197724
7 197722
8 200622
9 201722
10 199815
11 200815
12 19777
13 20057

About T. G. Wise

T. G. Wise is a scholar working on Animal Science and Zoology, Epidemiology, Infectious Diseases, Genetics and Immunology, having authored 13 papers that have together received 384 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (3 papers), Influenza Virus Research Studies (3 papers), Animal Virus Infections Studies (2 papers), Respiratory viral infections research (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Animal Nutrition and Physiology (2 papers), RNA Interference and Gene Delivery (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Virology (33 citations), Animal Science and Zoology (68 citations), Immunology (106 citations), Infectious Diseases (85 citations) and Epidemiology (142 citations). T. G. Wise has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Francis A. Ennis, Alex D. Hyatt, Raphael Dolin, Timothy J. Doran, Barbara E.H. Coupar, P. Mike Hine, Mark St. J. Crane, Ciléin Kearns, Deborah Middleton and Andrew A. Cunningham. Their work appears in journals such as The Journal of Infectious Diseases, Journal of General Virology, Archives of Virology, Journal of Wildlife Diseases and Animal Production Science.

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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