Moe H. Kyaw

5.4k citations
67 papers · 3.7k indexed · 2 hit papers · h-index 29

Moe H. Kyaw

64 papers receiving 3.6k citations

Hit Papers

Serotype distribution of Streptococcus...2812006202620122019200400600

Peers

Moe H. Kyaw
Comparison fields: 5 of 131
  • Microbiology 869
  • Epidemiology 2.4k
  • Applied Microbiology and Biotechnology 105
  • Critical Care and Intensive Care Medicine 260
  • Infectious Diseases 878
Replace Ian C. Michelow with:
Ian C. Michelow United States
Mats Kalin Sweden
P. Berthelot France
Anne Malfroot Belgium
Werner C. Albrich Switzerland
Markos Marangos Greece
Matthew P. Kronman United States
Fidelma Fitzpatrick Ireland
R. Russell Martin United States
Hsin‐Yun Sun Taiwan
Moe H. Kyaw relative to Ian C. Michelow United States Ian C. Michelow's profile →
Citations per field
00.5×3.8×
Ian C. Michelow · 1×
Citations per year

Countries citing papers authored by Moe H. Kyaw

Since Specialization
Citations

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

Fields of papers citing papers by Moe H. Kyaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 202310
5 20231
6 20236
7 20227
8 20211
9 20212
10 201930
11 2018222
12 2018177
13 20172
14 2016220
15 201563
16 201450
17 20111
18 200940
19 2005232
20 200218

About Moe H. Kyaw

Moe H. Kyaw is a scholar working on Microbiology, Epidemiology and Critical Care and Intensive Care Medicine, having authored 67 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (30 papers), Respiratory viral infections research (16 papers), Bacterial Infections and Vaccines (15 papers), Influenza Virus Research Studies (11 papers), Diabetes Treatment and Management (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers) and Microscopic Colitis (5 papers). The work is most often cited by research in Microbiology (869 citations), Epidemiology (2.4k citations) and Applied Microbiology and Biotechnology (105 citations). Moe H. Kyaw has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Harish Nair, Evelyn Balsells, Elizabeth R. Zell, Cynthia G. Whitney, Harry Campbell, Laurence Guillot, Alexia Kieffer, Sabine Tong, Caroline Amand and Hasan S. Jafri. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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