Nay Win Tun

402 total citations
14 papers, 156 citations indexed

About

Nay Win Tun is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Clinical Psychology. According to data from OpenAlex, Nay Win Tun has authored 14 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 7 papers in Obstetrics and Gynecology and 3 papers in Clinical Psychology. Recurrent topics in Nay Win Tun's work include Pregnancy and preeclampsia studies (4 papers), Global Maternal and Child Health (4 papers) and Gestational Diabetes Research and Management (3 papers). Nay Win Tun is often cited by papers focused on Pregnancy and preeclampsia studies (4 papers), Global Maternal and Child Health (4 papers) and Gestational Diabetes Research and Management (3 papers). Nay Win Tun collaborates with scholars based in Thailand, United Kingdom and Netherlands. Nay Win Tun's co-authors include François Nosten, Rose McGready, Aung Myat Min, Kesinee Chotivanich, Moo Kho Paw, Mary Ellen Gilder, Nicholas J. White, Layla Hall, Cindy S. Chu and Klanarong Wongsaen and has published in prestigious journals such as PLoS ONE, British Journal Of Nutrition and Malaria Journal.

In The Last Decade

Nay Win Tun

13 papers receiving 153 citations

Peers

Nay Win Tun
Comparison fields: 5 of 43
  • Pediatrics, Perinatology and Child Health 76
  • Public Health, Environmental and Occupational Health 50
  • Epidemiology 45
  • Clinical Psychology 39
  • Hepatology 27
Replace Chuc T K Nguyen with:
Chuc T K Nguyen Vietnam
Nabia Tariq Pakistan
Patrícia Ismael de Carvalho Brazil
Suphak Nosten United Kingdom
Saw Nay Htoo United States
Ariel Karolinski Argentina
Peyton Thompson United States
Gesila Endashaw Yesera Ethiopia
Jingcen Hu China
Christine Y. Lin United States
Chuc T K Nguyen Vietnam View profile →
Citations per field, relative to Nay Win Tun
Nay Win Tun · 1×
Citations per year, relative to Nay Win Tun
Nay Win Tun · 1×

Countries citing papers authored by Nay Win Tun

Since Specialization
Citations

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

Fields of papers citing papers by Nay Win Tun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nay Win Tun

This figure shows the co-authorship network connecting the top 25 collaborators of Nay Win Tun. A scholar is included among the top collaborators of Nay Win Tun 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 Nay Win Tun. Nay Win Tun 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
# Work Indexed citations
1 0
2 2
3 4
4 20
5 5
6 4
7 13
8 16
9 2
10 22
11 39
12 9
13 18
14
Cardiovascular risk factors by ethnic group and menstrual status among 13- and 14-year-old Israeli schoolchildren.
2

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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