Sun Nyunt Wai

9.6k citations
146 papers · 7.5k indexed · 2 hit papers · h-index 50
Topics
Vibrio bacteria research studies (67 papers)Escherichia coli research studies (30 papers)Bacterial biofilms and quorum sensing (28 papers)
Partner nations
SwedenJapanGermany

In The Last Decade

Sun Nyunt Wai

140 papers receiving 7.3k citations

Hit Papers

The gut microbiota prime systemic...20162026201920222022201650100150200

Peers

Sun Nyunt Wai
Comparison fields: 5 of 156
  • Molecular Biology 3.1k
  • Endocrinology 2.6k
  • Microbiology 1.9k
  • Immunology 1.4k
  • Epidemiology 1.1k
Replace Makoto Ohnishi with:
Makoto Ohnishi Japan
Meta Kuehn United States
Christoph M. Tang United Kingdom
Joanna B. Goldberg United States
Christopher M. Waters United States
Cynthia B. Whitchurch Australia
Rodney A. Welch United States
Mikael Skurnik Finland
Mario Jacques Canada
Yoshimitsu Mizunoe Japan
Sun Nyunt Wai relative to Makoto Ohnishi Japan Makoto Ohnishi's profile →
Citations per field
00.5×3.5×
Makoto Ohnishi · 1×
Citations per year

Countries citing papers authored by Sun Nyunt Wai

Since Specialization
Citations

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

Fields of papers citing papers by Sun Nyunt Wai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Nyunt Wai. 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 Sun Nyunt Wai. The network helps show where Sun Nyunt Wai may publish in the future.

Co-authorship network of co-authors of Sun Nyunt Wai

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Nyunt Wai. A scholar is included among the top collaborators of Sun Nyunt Wai 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 Sun Nyunt Wai. Sun Nyunt Wai 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 0
2 0
3 0
4 3
5 13
6 35
7 0
8 6
9 13
10 11
11 13
12 22
13 10
14 61
15 37
16 47
17 27
18 180
19 57
20 420

About Sun Nyunt Wai

Sun Nyunt Wai is a scholar working on Endocrinology, Microbiology and Molecular Medicine, having authored 146 papers that have together received 7.5k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (67 papers), Escherichia coli research studies (30 papers) and Bacterial biofilms and quorum sensing (28 papers). The work is most often cited by research in Endocrinology (2.6k citations), Microbiology (1.9k citations) and Molecular Medicine (823 citations). Sun Nyunt Wai has collaborated with scholars based in Sweden, Japan and Germany. Frequent co-authors include Bernt Eric Uhlin, Yoshimitsu Mizunoe, Akemi Takade, Jan Oscarsson, Takahiko Ishikawa, Barbro Lindmark, Shin�ichi Yoshida, Pramod Kumar Rompikuntal, Tianyan Song and Kazunobu Amako. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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