Nay Win Tun

402 citations
14 papers · 156 · h-index 7

Impact in

Papers in

Nay Win Tun

13 papers receiving 153 citations

Peers

Nay Win Tun
Comparison fields: 5 of 43
  • Pediatrics, Perinatology and Child Health 76
  • Hepatology 27
  • Obstetrics and Gynecology 23
  • Clinical Psychology 39
  • Public Health, Environmental and Occupational Health 50
Replace Chuc T K Nguyen with:
Chuc T K Nguyen Vietnam
Nabia Tariq Pakistan
Patrícia Ismael de Carvalho Brazil
Suphak Nosten Thailand
Saw Nay Htoo United States
Peyton Thompson United States
Gesila Endashaw Yesera Ethiopia
Magda Robalo Ghana
Leslie Meltzer Henry United States
Ariel Karolinski Argentina
Nay Win Tun relative to Chuc T K Nguyen Vietnam Chuc T K Nguyen's profile →
Citations per field
00.5×4.9×
Chuc T K Nguyen · 1×
Citations per year

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-authors

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

All Works

14 of 14 papers shown
#Work
1 201639
2 201622
3 202120
4 201418
5 201916
6 201913
7 20149
8 20215
9 20194
10 20214
11 20242
12 20172
13
Cardiovascular risk factors by ethnic group and menstrual status among 13- and 14-year-old Israeli schoolchildren.
19942
14 20250

About Nay Win Tun

Nay Win Tun is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Clinical Psychology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 156 indexed citations. Recurring topics across this work include Global Maternal and Child Health (4 papers), Pregnancy and preeclampsia studies (4 papers), Gestational Diabetes Research and Management (3 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Migration, Health and Trauma (2 papers), Hepatitis B Virus Studies (2 papers), Birth, Development, and Health (2 papers) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (76 citations), Hepatology (27 citations), Obstetrics and Gynecology (23 citations), Clinical Psychology (39 citations) and Public Health, Environmental and Occupational Health (50 citations). Nay Win Tun has collaborated with scholars based in Thailand, United Kingdom and Netherlands. Frequent co-authors include Rose McGready, François Nosten, Aung Myat Min, Kesinee Chotivanich, Mary Ellen Gilder, Moo Kho Paw, Jacher Wiladphaingern, Nicholas J. White, Borimas Hanboonkunupakarn and Cindy S. Chu. Their work appears in journals such as BMC Pregnancy and Childbirth, Global Health Action, PLoS ONE, BMJ Global Health and Reproductive Health.

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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