Aye Aye Win

27 total papers · 1.2k total citations
11 papers, 263 citations indexed

About

Aye Aye Win is a scholar working on Epidemiology, Infectious Diseases and Genetics. According to data from OpenAlex, Aye Aye Win has authored 11 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Infectious Diseases and 2 papers in Genetics. Recurrent topics in Aye Aye Win's work include Mycobacterium research and diagnosis (4 papers), Leprosy Research and Treatment (3 papers) and Blood groups and transfusion (2 papers). Aye Aye Win is often cited by papers focused on Mycobacterium research and diagnosis (4 papers), Leprosy Research and Treatment (3 papers) and Blood groups and transfusion (2 papers). Aye Aye Win collaborates with scholars based in Myanmar, Japan and United Kingdom. Aye Aye Win's co-authors include M Brozović, Sally C. Davies, J F Riordan, Khin Saw Aye, Seung‐Hoi Koo, So Young Kim, Kesinee Chotivanich, Charles J. Woodrow, Borimas Hanboonkunupakarn and Sasithon Pukrittayakamee and has published in prestigious journals such as The Lancet, Biochemical Journal and Journal of Clinical Microbiology.

In The Last Decade

Aye Aye Win

11 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Aye Aye Win 123 88 66 62 50 11 263
M. M. K. Shing 65 0.5× 116 1.3× 119 1.8× 33 0.5× 20 0.4× 12 280
C. Hui 36 0.3× 109 1.2× 72 1.1× 24 0.4× 19 0.4× 14 331
C. Saint‐Martin 78 0.6× 60 0.7× 133 2.0× 118 1.9× 12 0.2× 14 304
Kelly Ross 54 0.4× 41 0.5× 73 1.1× 59 1.0× 106 2.1× 9 274
Lynette Bowes 74 0.6× 22 0.3× 81 1.2× 61 1.0× 37 0.7× 15 255
Barbara Hannach 37 0.3× 124 1.4× 21 0.3× 33 0.5× 46 0.9× 17 330
Angelika Valentin 41 0.3× 80 0.9× 125 1.9× 110 1.8× 64 1.3× 12 311
Paulo S. Silveira-Mattos 47 0.4× 54 0.6× 138 2.1× 176 2.8× 48 1.0× 15 324
Osiyallê Akanni Silva Rodrigues 82 0.7× 62 0.7× 31 0.5× 38 0.6× 108 2.2× 12 328
Benson J. Ouma 32 0.3× 24 0.3× 67 1.0× 58 0.9× 92 1.8× 14 314

Countries citing papers authored by Aye Aye Win

Since Specialization
Citations

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

Fields of papers citing papers by Aye Aye Win

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aye Aye Win

This figure shows the co-authorship network connecting the top 25 collaborators of Aye Aye Win. A scholar is included among the top collaborators of Aye Aye Win 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 Aye Aye Win. Aye Aye Win 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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