Wah Win Htike

492 citations
14 papers · 250 indexed · h-index 8
Topics
Antibiotic Resistance in Bacteria (5 papers)Parasites and Host Interactions (4 papers)Salmonella and Campylobacter epidemiology (3 papers)
Partner nations
MyanmarNew ZealandJapan

In The Last Decade

Wah Win Htike

13 papers receiving 247 citations

Peers

Wah Win Htike
Comparison fields: 5 of 42
  • Infectious Diseases 125
  • Parasitology 73
  • Ecology 49
  • Public Health, Environmental and Occupational Health 47
  • Ecology, Evolution, Behavior and Systematics 47
Replace S. Alexiou‐Daniel with:
S. Alexiou‐Daniel Greece
Tümer Güven Türkiye
Manon Lounnas France
Gül Ruhsar YILMAZ Türkiye
Allan Ogendo Kenya
Anaïs Appelgren France
V. Petrov Bulgaria
Ketevan Sidamonidze United States
Xhevat Jakupi Kosovo
Yeo‐Jun Yun Ethiopia
Wah Win Htike relative to S. Alexiou‐Daniel Greece S. Alexiou‐Daniel's profile →
Citations per field
00.5×10×15×20×
S. Alexiou‐Daniel · 1×
Citations per year

Countries citing papers authored by Wah Win Htike

Since Specialization
Citations

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

Fields of papers citing papers by Wah Win Htike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wah Win Htike

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 1
3 17
4 19
5 107
6 7
7 15
8 0
9 14
10
Study of multidrug-resistant gram-negative bacteria isolates obtained from hospitalized patients in Yangon, Myanmar.
3
11 1
12 24
13 29
14 12

About Wah Win Htike

Wah Win Htike is a scholar working on Molecular Medicine, Parasitology and Endocrinology, having authored 14 papers that have together received 250 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Parasites and Host Interactions (4 papers) and Salmonella and Campylobacter epidemiology (3 papers). The work is most often cited by research in Parasitology (73 citations), Molecular Medicine (42 citations) and Infectious Diseases (125 citations). Wah Win Htike has collaborated with scholars based in Myanmar, New Zealand and Japan. Frequent co-authors include Na‐Young Ha, Jun-Gu Kang, Keun-Hwa Lee, John A. Crump, Nam‐Hyuk Cho, Nguyễn Thị Hải Yến, Yuri Kim, David R. Murdoch, James E. Ussher and Rachel F. Hannaway. Their work appears in journals such as Clinical Infectious Diseases, Emerging infectious diseases and PLoS neglected tropical 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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