Madushi Wanaguru

12 total papers · 668 total citations
11 papers, 457 citations indexed

About

Madushi Wanaguru is a scholar working on Public Health, Environmental and Occupational Health, Immunology and Virology. According to data from OpenAlex, Madushi Wanaguru has authored 11 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 6 papers in Immunology and 5 papers in Virology. Recurrent topics in Madushi Wanaguru's work include Malaria Research and Control (7 papers), HIV Research and Treatment (5 papers) and Complement system in diseases (4 papers). Madushi Wanaguru is often cited by papers focused on Malaria Research and Control (7 papers), HIV Research and Treatment (5 papers) and Complement system in diseases (4 papers). Madushi Wanaguru collaborates with scholars based in United Kingdom, United States and Thailand. Madushi Wanaguru's co-authors include Gavin J. Wright, Julian C. Rayner, Cécile Crosnier, Brian McDade, Faith Osier, Kevin Marsh, Wei‐Min Liu, Beatrice H. Hahn, S. Josefin Bartholdson and Leyla Y. Bustamante and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

Madushi Wanaguru

11 papers receiving 456 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Madushi Wanaguru 367 157 148 69 48 11 457
Jorge Suárez 295 0.8× 152 1.0× 153 1.0× 74 1.1× 75 1.6× 19 444
Lindsey Orchard 383 1.0× 201 1.3× 234 1.6× 56 0.8× 67 1.4× 17 537
Stéphane Gangnard 371 1.0× 224 1.4× 138 0.9× 77 1.1× 45 0.9× 22 541
Anburaj Amaladoss 312 0.9× 158 1.0× 87 0.6× 38 0.6× 40 0.8× 10 425
Beata Czesny 433 1.2× 192 1.2× 134 0.9× 35 0.5× 80 1.7× 11 545
Lindsey M. Altenhofen 391 1.1× 136 0.9× 175 1.2× 52 0.8× 63 1.3× 9 533
Andrew C. Orcutt 371 1.0× 210 1.3× 122 0.8× 79 1.1× 57 1.2× 8 528
Katharine K. Grady 405 1.1× 116 0.7× 73 0.5× 44 0.6× 42 0.9× 15 489
Balbir K. Chaal 277 0.8× 111 0.7× 237 1.6× 61 0.9× 42 0.9× 8 458
Xue Yan Yam 373 1.0× 186 1.2× 120 0.8× 50 0.7× 40 0.8× 13 439

Countries citing papers authored by Madushi Wanaguru

Since Specialization
Citations

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

Fields of papers citing papers by Madushi Wanaguru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madushi Wanaguru

This figure shows the co-authorship network connecting the top 25 collaborators of Madushi Wanaguru. A scholar is included among the top collaborators of Madushi Wanaguru based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Madushi Wanaguru. Madushi Wanaguru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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