Peter Lever

423 citations
11 papers · 205 · h-index 6

Impact in

    • Leprosy Research and Treatment
    • Tuberculosis Research and Epidemiology
    • Dermatological diseases and infestations
    • Mycobacterium research and diagnosis

Papers in

Peter Lever

10 papers receiving 187 citations

Peers

Peter Lever
Comparison fields: 5 of 47
  • Infectious Diseases 173
  • Epidemiology 39
  • Parasitology 7
  • General Health Professions 19
  • Complementary and alternative medicine 6
Replace Tomàs Maria Pérez-Porcuna with:
Tomàs Maria Pérez-Porcuna Spain
H Galdós-Tangüis Spain
N Charles India
H. J. Chum Tanzania
Josilene Dália Alves Brazil
Marianne Gale Australia
Mustapha Gidado Nigeria
Esther Kivaya Kenya
R. Agwanda Kenya
Christopher Spitters United States
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Citations per field
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Tomàs Maria Pérez-Porcuna · 1×
Citations per year

Countries citing papers authored by Peter Lever

Since Specialization
Citations

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

Fields of papers citing papers by Peter Lever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Peter Lever, 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 Lever Line = papers co-authored together Peter Lever links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 200976
2 200053
3 200330
4
Prevention of impairment in leprosy; results from a collaborative project in China.
199517
5 200011
6 19987
7 19924
8
Monitoring the size of the leprosy problem: which epidemiological indicators should we use?
20053
9 19922
10 19932
11 19680

About Peter Lever

Peter Lever is a scholar working on Infectious Diseases, Epidemiology, Electrical and Electronic Engineering, Pediatrics, Perinatology and Child Health and Sociology and Political Science, having authored 11 papers that have together received 205 indexed citations. Recurring topics across this work include Leprosy Research and Treatment (7 papers), Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (2 papers), Transportation Systems and Safety (1 paper), Electromagnetic Compatibility and Noise Suppression (1 paper), Asian Studies and History (1 paper), Advanced DC-DC Converters (1 paper) and Induction Heating and Inverter Technology (1 paper). The work is most often cited by research in Infectious Diseases (173 citations), Epidemiology (39 citations), Parasitology (7 citations), General Health Professions (19 citations) and Complementary and alternative medicine (6 citations). Peter Lever has collaborated with scholars based in Netherlands, United Kingdom and Brazil. Frequent co-authors include Jan Visschedijk, Corlien M. Varkevisser, Paul R. Klatser, Stella van Beers, Maria Aparecida de Faria Grossi, Linda Lehman, William C. Smith, Andréa Caprara, Paul Saunderson and Prisca Zwanikken. Their work appears in journals such as Leprosy Review, Tropical Medicine & International Health, Cadernos de Saúde Pública, Medical Anthropology and Journal of Obstetrics and Gynaecology.

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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