Ann M. Buff

1.1k citations
26 papers · 464 · h-index 14

Impact in

Papers in

Ann M. Buff

26 papers receiving 449 citations

Peers

Ann M. Buff
Comparison fields: 5 of 72
  • Modeling and Simulation 37
  • Public Health, Environmental and Occupational Health 211
  • Infectious Diseases 74
  • Virology 12
  • Pediatrics, Perinatology and Child Health 45
Replace Christopher Nyundo with:
Christopher Nyundo Kenya
Miguel Betancourt-Cravioto Mexico
Teegwendé Valérie Porgo Canada
Elizabeth Nava-Aguilera Mexico
Arcadio Morales-Pérez Mexico
Sangeeta Kansal India
Mathias Kamugisha Tanzania
Germano Ferreira United Kingdom
Mayumi Duarte Wakimoto Brazil
Kathryn W. Roberts United States
Ann M. Buff relative to Christopher Nyundo Kenya Christopher Nyundo's profile →
Citations per field
00.5×
Christopher Nyundo · 1×
Citations per year

Countries citing papers authored by Ann M. Buff

Since Specialization
Citations

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

Fields of papers citing papers by Ann M. Buff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann M. Buff. 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 Ann M. Buff. The network helps show where Ann M. Buff may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201753
2 202142
3 201838
4 201435
5 201629
6 201729
7 201327
8 200725
9 201923
10 201019
11 201618
12 198816
13 200916
14 202113
15 200911
16 202211
17 201711
18 20159
19 20087
20 20207

About Ann M. Buff

Ann M. Buff is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology, Pediatrics, Perinatology and Child Health and Surgery, having authored 26 papers that have together received 464 indexed citations. Recurring topics across this work include Malaria Research and Control (12 papers), Global Maternal and Child Health (3 papers), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers), Mosquito-borne diseases and control (2 papers), Travel-related health issues (2 papers), Parasites and Host Interactions (1 paper) and Infection Control and Ventilation (1 paper). The work is most often cited by research in Modeling and Simulation (37 citations), Public Health, Environmental and Occupational Health (211 citations), Infectious Diseases (74 citations), Virology (12 citations) and Pediatrics, Perinatology and Child Health (45 citations). Ann M. Buff has collaborated with scholars based in United States, Kenya and United Kingdom. Frequent co-authors include Meghna Desai, Simon Kariuki, Feiko O. ter Kuile, Vincent Were, Penelope A. Phillips‐Howard, Aaron M. Samuels, Louis Niessen, S. Patrick Kachur, Josea Rono and Sophie Githinji. Their work appears in journals such as Malaria Journal, Travel Medicine and Infectious Disease, American Journal of Tropical Medicine and Hygiene, BMJ Open and PLoS ONE.

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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