Ben Andagalu

1.7k citations
37 papers · 511 indexed · h-index 13

Ben Andagalu

37 papers receiving 504 citations

Peers

Ben Andagalu
Comparison fields: 5 of 75
  • Public Health, Environmental and Occupational Health 375
  • Parasitology 77
  • Computational Theory and Mathematics 146
  • Pharmacology 61
  • Microbiology 34
Replace Marylin Madamet with:
Marylin Madamet France
Sabina Dahlström Sweden
Betty Balikagala Japan
Abdunoor M. Kabanywanyi Tanzania
Arnold Ndaro Tanzania
Denis A. Anywar Uganda
Emmanuel Igwaro Odongo-Aginya Uganda
Rob W. van der Pluijm Thailand
Mie Ikeda Japan
Neils B. Quashie Ghana
Ben Andagalu relative to Marylin Madamet France Marylin Madamet's profile →
Citations per field
00.5×3.4×
Marylin Madamet · 1×
Citations per year

Countries citing papers authored by Ben Andagalu

Since Specialization
Citations

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

Fields of papers citing papers by Ben Andagalu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202210
3 20224
4 20211
5 20213
6 202147
7 20219
8 20204
9 20208
10 202020
11 201922
12 20189
13 20169
14 20164
15 201531
16 201525
17 201425
18 20149
19 201422
20 20144

About Ben Andagalu

Ben Andagalu is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Computational Theory and Mathematics, having authored 37 papers that have together received 511 indexed citations. Recurring topics across this work include Malaria Research and Control (27 papers), Computational Drug Discovery Methods (12 papers), Parasites and Host Interactions (7 papers), Mosquito-borne diseases and control (6 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), vaccines and immunoinformatics approaches (5 papers), Tuberculosis Research and Epidemiology (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (375 citations), Parasitology (77 citations) and Computational Theory and Mathematics (146 citations). Ben Andagalu has collaborated with scholars based in Kenya, United States and Tanzania. Frequent co-authors include Edwin Kamau, Hoseah M. Akala, Dennis W. Juma, Luicer A. Ingasia, Redemptah Yeda, Agnes C. Cheruiyot, Bernhards Ogutu, Fredrick Eyase, Wallace Bulimo and Jacob D. Johnson. Their work appears in journals such as Malaria Journal, PLoS ONE, Scientific Reports, International Journal for Parasitology Drugs and Drug Resistance and Infection Genetics and Evolution.

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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