Moe H. Kyaw

5.4k citations
67 papers · 3.7k indexed · 2 hit papers · h-index 29
Topics
Pneumonia and Respiratory Infections (30 papers)Respiratory viral infections research (16 papers)Bacterial Infections and Vaccines (15 papers)

In The Last Decade

Moe H. Kyaw

64 papers receiving 3.6k citations

Hit Papers

Effect of Introduction of the Pneumococcal Conjugate Vacc...200620262012201920062017200400600

Peers

Moe H. Kyaw
Comparison fields: 5 of 131
  • Epidemiology 2.4k
  • Infectious Diseases 878
  • Microbiology 869
  • Surgery 622
  • Molecular Biology 320
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
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Citations per field
00.5×4.1×
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 of co-authors of Moe H. Kyaw

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 10
5 1
6 6
7 7
8 1
9 2
10 30
11 222
12 177
13 2
14 220
15 63
16 50
17 1
18 40
19 232
20 18

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) and Bacterial Infections and Vaccines (15 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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