Sivanna Mao
- Public Health, Environmental and Occupational Health top 1%
- Computational Theory and Mathematics top 1%
- Parasitology top 5%
- Pharmacology top 5%
- Epidemiology
- Co-authors
- Chanaki AmaratungaRick M. FairhurstSeila SuonSokunthea SrengJennifer M. AndersonPharath LimDuong SocheatMichael P. Fay
- Topics
- Malaria Research and Control (6 papers)Computational Drug Discovery Methods (4 papers)Mosquito-borne diseases and control (2 papers)
- Cited by
- Public Health, Environmental and Occupational HealthComputational Theory and MathematicsParasitology
- Journals
- Antimicrobial Agents and ChemotherapyThe Lancet Infectious DiseasesPLoS neglected tropical diseases
- Partner nations
- United StatesCambodiaUnited Kingdom
In The Last Decade
Sivanna Mao
6 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Public Health, Environmental and Occupational Health 1.0k
- Computational Theory and Mathematics 453
- Parasitology 168
- Pharmacology 149
- Epidemiology 114
Countries citing papers authored by Sivanna Mao
This map shows the geographic impact of Sivanna Mao'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 Sivanna Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sivanna Mao more than expected).
Fields of papers citing papers by Sivanna Mao
This network shows the impact of papers produced by Sivanna Mao. 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 Sivanna Mao. The network helps show where Sivanna Mao may publish in the future.
Co-authorship network of co-authors of Sivanna Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Sivanna Mao. A scholar is included among the top collaborators of Sivanna Mao 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 Sivanna Mao. Sivanna Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | Dihydroartemisinin–piperaquine resistance in Plasmodium falciparum malaria in Cambodia: a multisite prospective cohort studybreakdown → | 329 |
| 3 | 12 | |
| 4 | Novel phenotypic assays for the detection of artemisinin-resistant Plasmodium falciparum malaria in Cambodia: in-vitro and ex-vivo drug-response studiesbreakdown → | 406 |
| 5 | 30 | |
| 6 | 247 |
About Sivanna Mao
Sivanna Mao is a scholar working on Parasitology, Computational Theory and Mathematics and Public Health, Environmental and Occupational Health, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Malaria Research and Control (6 papers), Computational Drug Discovery Methods (4 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.0k citations), Computational Theory and Mathematics (453 citations) and Parasitology (168 citations). Sivanna Mao has collaborated with scholars based in United States, Cambodia and United Kingdom. Frequent co-authors include Chanaki Amaratunga, Rick M. Fairhurst, Seila Suon, Sokunthea Sreng, Jennifer M. Anderson, Pharath Lim, Duong Socheat, Michael P. Fay, Char Meng Chuor and Didier Ménard. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Lancet Infectious Diseases and PLoS neglected tropical diseases.
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.