M.T.E.P. Allsopp

34 papers receiving 1.4k citations

Peers

M.T.E.P. Allsopp
Comparison fields: 5 of 72
  • Parasitology 958
  • Infectious Diseases 463
  • Ecology, Evolution, Behavior and Systematics 514
  • Insect Science 244
  • Endocrinology 54
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Vladimı́r Hampl Czechia
Joana C. Silva United States
Robert T. Good Australia
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Murray N. Schnare Canada
Václav Hypša Czechia
Jennifer J. Wernegreen United States
Milan Jirků Czechia
Steve J. Perlman Canada
Patrick T. K. Woo Canada
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Citations per field
00.5×4.7×
Vladimı́r Hampl · 1×
Citations per year

Countries citing papers authored by M.T.E.P. Allsopp

Since Specialization
Citations

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

Fields of papers citing papers by M.T.E.P. Allsopp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994150
2 1996134
3 1994125
4 1999107
5 200789
6 200678
7 199473
8 199964
9 199764
10 200058
11 198855
12 199544
13 199642
14 200140
15 200537
16 200135
17 200731
18 200630
19 200429
20
Development of improved attenuated and nucleic acid vaccines for heartwater.
200329

About M.T.E.P. Allsopp

M.T.E.P. Allsopp is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Immunology and Infectious Diseases, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (21 papers), Vector-Borne Animal Diseases (11 papers), Toxin Mechanisms and Immunotoxins (7 papers), Protist diversity and phylogeny (6 papers), Microbial Community Ecology and Physiology (6 papers), Insect symbiosis and bacterial influences (5 papers), Plant and Fungal Interactions Research (3 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Parasitology (958 citations), Infectious Diseases (463 citations), Ecology, Evolution, Behavior and Systematics (514 citations), Insect Science (244 citations) and Endocrinology (54 citations). M.T.E.P. Allsopp has collaborated with scholars based in South Africa, Canada and United Kingdom. Frequent co-authors include B.A. Allsopp, Thomas Cavalier‐Smith, E. E. Chao, Theo de Waal, B.L. Penzhorn, Nicole Boury‐Esnault, Jean Vacelet, Susanne Vogel, EC Meyer and Frans Jongejan. Their work appears in journals such as Annals of the New York Academy of Sciences, Veterinary Microbiology, Journal of Clinical Microbiology, Parasitology and Veterinary Parasitology.

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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