Saw Win Tun

548 total citations
3 papers, 22 citations indexed

About

Saw Win Tun is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Saw Win Tun has authored 3 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Public Health, Environmental and Occupational Health, 2 papers in Genetics and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Saw Win Tun's work include Malaria Research and Control (3 papers), Mosquito-borne diseases and control (3 papers) and Hemoglobinopathies and Related Disorders (2 papers). Saw Win Tun is often cited by papers focused on Malaria Research and Control (3 papers), Mosquito-borne diseases and control (3 papers) and Hemoglobinopathies and Related Disorders (2 papers). Saw Win Tun collaborates with scholars based in United Kingdom, Thailand and Australia. Saw Win Tun's co-authors include Richard J. Maude, François Nosten, Ladda Kajeechiwa, May Myo Thwin, Suphak Nosten, Stéphane Proux, Aung Myint Thu, Jacher Wiladphaingern, Jordi Landier and J. A. Simpson and has published in prestigious journals such as BMC Public Health and Malaria Journal.

In The Last Decade

Saw Win Tun

2 papers receiving 22 citations

Peers

Saw Win Tun
Kalifa Diarra United States
Pablo Dabed Venezuela
Jean Okitawutshu Switzerland
F Tshivhula South Africa
Laura Davis Australia
M Knapton United Kingdom
Kalifa Diarra United States
Saw Win Tun
Citations per year, relative to Saw Win Tun Saw Win Tun (= 1×) peers Kalifa Diarra

Countries citing papers authored by Saw Win Tun

Since Specialization
Citations

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

Fields of papers citing papers by Saw Win Tun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saw Win Tun. 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 Saw Win Tun. The network helps show where Saw Win Tun may publish in the future.

Co-authorship network of co-authors of Saw Win Tun

This figure shows the co-authorship network connecting the top 25 collaborators of Saw Win Tun. A scholar is included among the top collaborators of Saw Win Tun 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 Saw Win Tun. Saw Win Tun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
2.
Landier, Jordi, J. A. Simpson, Stéphane Proux, et al.. (2021). Longitudinal trends in malaria testing rates in the face of elimination in eastern Myanmar: a 7-year observational study. BMC Public Health. 21(1). 1725–1725. 6 indexed citations
3.
Nosten, Suphak, Stéphane Proux, Aung Myint Thu, et al.. (2019). The role of monitoring and evaluation to ensure functional access to community-based early diagnosis and treatment in a malaria elimination programme in Eastern Myanmar. Malaria Journal. 18(1). 50–50. 16 indexed citations

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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