M. E. Thouless

2.5k citations
47 papers · 1.8k indexed · h-index 25

M. E. Thouless

47 papers receiving 1.6k citations

Peers

M. E. Thouless
Comparison fields: 5 of 83
  • Infectious Diseases 904
  • Animal Science and Zoology 454
  • Virology 150
  • Epidemiology 930
  • Genetics 387
Replace Shudo Yamazaki with:
Shudo Yamazaki Japan
Kenneth F. Soike United States
Stefan L. Oliver United States
Jayesh Meanger Australia
Douglas Martinez United States
D. Neumann‐Haefelin Germany
Steven B. Kleiboeker United States
Hiroko Minagawa Japan
S. S. Kalter United States
Kazuo Nishikawa Japan
M. E. Thouless relative to Shudo Yamazaki Japan Shudo Yamazaki's profile →
Citations per field
00.5×1.5×
Shudo Yamazaki · 1×
Citations per year

Countries citing papers authored by M. E. Thouless

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Thouless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. Thouless. 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 M. E. Thouless. The network helps show where M. E. Thouless may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20182
2 201514
3 200622
4 200624
5 200610
6 200518
7 200529
8 200530
9 200026
10 1997173
11 19963
12
Use of polymerase chain reaction for diagnosis of type D simian retrovirus infection in macaque blood.
19967
13 199318
14 199320
15 1991314
16 198843
17 197930
18 197732
19 197537
20 197147

About M. E. Thouless

M. E. Thouless is a scholar working on Virology, Infectious Diseases, Animal Science and Zoology, Epidemiology and Genetics, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (19 papers), Viral gastroenteritis research and epidemiology (17 papers), Virus-based gene therapy research (14 papers), Parvovirus B19 Infection Studies (9 papers), Viral-associated cancers and disorders (9 papers), HIV Research and Treatment (8 papers), Animal Virus Infections Studies (8 papers) and Histiocytic Disorders and Treatments (7 papers). The work is most often cited by research in Infectious Diseases (904 citations), Animal Science and Zoology (454 citations), Virology (150 citations), Epidemiology (930 citations) and Genetics (387 citations). M. E. Thouless has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include T. H. Flewett, G. M. Beards, Judith A. Frazier, Susan Brown, Nat Bumstead, K. Howes, L. N. Payne, G. R. B. Skinner, A.S. Bryden and Ronald F. DiGiacomo. Their work appears in journals such as Journal of General Virology, Journal of Medical Primatology, Archives of Virology, Virology and Journal of Clinical Microbiology.

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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