L. Matthewman

939 citations
20 papers · 620 · h-index 16

Impact in

    • Vector-borne infectious diseases
    • Bartonella species infections research
    • Viral Infections and Vectors
    • Dermatological diseases and infestations

Papers in

L. Matthewman

20 papers receiving 591 citations

Peers

L. Matthewman
Comparison fields: 5 of 53
  • Parasitology 434
  • Infectious Diseases 318
  • Virology 64
  • Ecology, Evolution, Behavior and Systematics 164
  • Microbiology 30
Replace Russell T. Greene with:
Russell T. Greene United States
Miguel A. Tesouro Spain
Cahit Babür Türkiye
S. D. Gaunt United States
D Hulínská Czechia
Mitika K. Hagiwara Brazil
V. Kontos Greece
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Citations per field
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Citations per year

Countries citing papers authored by L. Matthewman

Since Specialization
Citations

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

Fields of papers citing papers by L. Matthewman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1996127
2 199550
3 199645
4 199543
5
Q fever in Zimbabwe. A review of the disease and the results of a serosurvey of humans, cattle, goats and dogs.
199342
6
A new pathogenic spotted fever group rickettsia from Africa.
199441
7 199340
8 199435
9 199326
10 199425
11 199722
12 199721
13 202020
14 199220
15 199616
16
Further evidence for the efficacy of imidocarb dipropionate in the treatment of Ehrlichia canis infection.
199416
17 19919
18 19948
19 19988
20 19946

About L. Matthewman

L. Matthewman is a scholar working on Parasitology, Infectious Diseases, Public Health, Environmental and Occupational Health, Virology and Epidemiology, having authored 20 papers that have together received 620 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (11 papers), Viral Infections and Vectors (8 papers), Mosquito-borne diseases and control (4 papers), Microbial infections and disease research (3 papers), Rabies epidemiology and control (3 papers), Vector-Borne Animal Diseases (3 papers), Gut microbiota and health (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Parasitology (434 citations), Infectious Diseases (318 citations), Virology (64 citations), Ecology, Evolution, Behavior and Systematics (164 citations) and Microbiology (30 citations). L. Matthewman has collaborated with scholars based in Zimbabwe, United Kingdom and France. Frequent co-authors include Didier Raoult, P. R. Mason, Patrick Kelly, Lorenza Béati, Peter J. Kelly, Véronique Roux, Adrian Boswood, Peter R. Mason, Kenneth W. Simpson and Christopher R. Lamb. Their work appears in journals such as Veterinary Record, European Journal of Epidemiology, Research in Veterinary Science, Scientific Reports and Journal of Small Animal Practice.

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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