Peter Mmbuji

569 citations
13 papers · 350 · h-index 9

Impact in

Papers in

Peter Mmbuji

12 papers receiving 337 citations

Peers

Peter Mmbuji
Comparison fields: 5 of 47
  • Infectious Diseases 192
  • Modeling and Simulation 30
  • Public Health, Environmental and Occupational Health 92
  • Health 16
  • Ecology, Evolution, Behavior and Systematics 40
Replace Fan Ding with:
Fan Ding China
Patrick Tusiime United States
Joseph M. Lamin Sierra Leone
Samuel Amwayi Kenya
Craig Manning United States
Dah Cheikh Switzerland
Mohamed Elhakim Egypt
T Papadimitriou Greece
Armand Eugène Randrianarivo-Solofoniaina Madagascar
Yien Ling Hii Sweden
Peter Mmbuji relative to Fan Ding China Fan Ding's profile →
Citations per field
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Fan Ding · 1×
Citations per year

Countries citing papers authored by Peter Mmbuji

Since Specialization
Citations

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

Fields of papers citing papers by Peter Mmbuji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2010138
2 200753
3 200951
4 200829
5 201220
6 201317
7 201214
8 201813
9 20149
10 20033
11 20102
12 20101
13 20230

About Peter Mmbuji

Peter Mmbuji is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Health and Ecology, Evolution, Behavior and Systematics, having authored 13 papers that have together received 350 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (5 papers), Data-Driven Disease Surveillance (3 papers), Zoonotic diseases and public health (3 papers), Viral Infections and Vectors (3 papers), Vaccine Coverage and Hesitancy (2 papers), Vector-Borne Animal Diseases (2 papers), Antibiotic Use and Resistance (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Infectious Diseases (192 citations), Modeling and Simulation (30 citations), Public Health, Environmental and Occupational Health (92 citations), Health (16 citations) and Ecology, Evolution, Behavior and Systematics (40 citations). Peter Mmbuji has collaborated with scholars based in Tanzania, Uganda and United States. Frequent co-authors include K.P. Senkoro, Leonard E. G. Mboera, Janusz T. Pawęska, Susan F. Rumisha, Wun‐Ju Shieh, Fausta Mosha, Mohamed Mohamed, Robert F. Breiman, Sherif R. Zaki and Peter Bloland. Their work appears in journals such as International Journal of Infectious Diseases, International Health, Malaria Journal, American Journal of Tropical Medicine and Hygiene and BMJ Global Health.

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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