Peter Matousek

750 citations
8 papers · 594 · h-index 6

Impact in

Papers in

Peter Matousek

8 papers receiving 577 citations

Peers

Peter Matousek
Comparison fields: 5 of 58
  • Public Health, Environmental and Occupational Health 482
  • Parasitology 98
  • Immunology 274
  • Virology 22
  • Genetics 27
Replace Claire L. Mackintosh with:
Claire L. Mackintosh United Kingdom
Mary Lopez-Perez Colombia
Manijeh Vafa Homann Sweden
Eduard Rovira-Vallbona Belgium
Jack Taraika Papua New Guinea
L.N. Otoo Gambia
Gillian Wagner United Kingdom
Amadou Niangaly Mali
Modibo Daou Mali
Ayman Khattab Germany
Peter Matousek relative to Claire L. Mackintosh United Kingdom Claire L. Mackintosh's profile →
Citations per field
00.5×1.6×
Claire L. Mackintosh · 1×
Citations per year

Countries citing papers authored by Peter Matousek

Since Specialization
Citations

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

Fields of papers citing papers by Peter Matousek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Peter Matousek, 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 Matousek Line = papers co-authored together Peter Matousek links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1999188
2 2000184
3 1998126
4 199836
5
Parasite antigen-specific interleukin-10 and antibody reponses predict accelerated parasite clearance in Plasmodium falciparum malaria.
199836
6 199719
7 19994
8
Bundesqualitätsleitlinie zur integrierten Versorgung von erwachsenen Patientinnen und Patienten für die präoperative Diagnostik bei elektiven Eingriffen
20111

About Peter Matousek

Peter Matousek is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Parasitology, Genetics and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 594 indexed citations. Recurring topics across this work include Malaria Research and Control (6 papers), Mosquito-borne diseases and control (5 papers), Complement system in diseases (2 papers), Parasites and Host Interactions (2 papers), Research on Leishmaniasis Studies (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Credit Risk and Financial Regulations (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (482 citations), Parasitology (98 citations), Immunology (274 citations), Virology (22 citations) and Genetics (27 citations). Peter Matousek has collaborated with scholars based in Germany, Gabon and Austria. Frequent co-authors include Doris Luckner, Léopold G. Lehman, Bernhard Greve, Ruprecht Schmidt‐Ott, Bertrand Lell, Peter G. Kremsner, Klaus Herbich, Adrian J. F. Luty, D. Scott Schmid and Philippe Deloron. Their work appears in journals such as Transactions of the Royal Society of Tropical Medicine and Hygiene, The Journal of Infectious Diseases, Infection and Immunity, The Journal of Fixed Income and PubMed.

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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