Kyaw Soe

581 citations
37 papers · 347 · h-index 11

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 14
    • Pneumocystis jirovecii pneumonia detection and treatment 4
    • Pneumonia and Respiratory Infections 3
    • Burkholderia infections and melioidosis 2

Kyaw Soe

36 papers receiving 337 citations

Peers

Kyaw Soe
Comparison fields: 5 of 93
  • Infectious Diseases 149
  • Medical Laboratory Technology 8
  • Epidemiology 61
  • Parasitology 11
  • Occupational Therapy 6
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Citations per year

Countries citing papers authored by Kyaw Soe

Since Specialization
Citations

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

Fields of papers citing papers by Kyaw Soe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effect of Computer-Assisted Instruction (CAI) on Reading Achievement: A Meta-Analysis.
200042
2 201729
3 201925
4 201525
5 202122
6 201819
7 201817
8 201213
9 201812
10 201811
11 201810
12 20199
13 20209
14 20178
15 20207
16 20217
17 20147
18 20197
19 20077
20 20187

About Kyaw Soe

Kyaw Soe is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and General Health Professions, having authored 37 papers that have together received 347 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Pneumonia and Respiratory Infections (3 papers), Malaria Research and Control (2 papers), Diagnosis and treatment of tuberculosis (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Burkholderia infections and melioidosis (2 papers) and Forensic Anthropology and Bioarchaeology Studies (1 paper). The work is most often cited by research in Infectious Diseases (149 citations), Medical Laboratory Technology (8 citations), Epidemiology (61 citations), Parasitology (11 citations) and Occupational Therapy (6 citations). Kyaw Soe has collaborated with scholars based in Myanmar, France and Thailand. Frequent co-authors include Hemant Deepak Shewade, Xin Du, Tao Li, Hui Zhang, Si Thu Aung, Lixia Wang, Srinath Satyanarayana, Cheerawit Rattanapan, Khine Wut Yee Kyaw and Nang Thu Thu Kyaw. Their work appears in journals such as Tropical Medicine and Infectious Disease, PLoS ONE, The International Journal of Tuberculosis and Lung Disease, Transactions of the Royal Society of Tropical Medicine and Hygiene and International Journal of Infectious 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.

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