Hai Phung

62 papers receiving 1.0k citations

Peers

Hai Phung
Comparison fields: 5 of 114
  • Obstetrics and Gynecology 99
  • Family Practice 24
  • Public Health, Environmental and Occupational Health 316
  • Health 67
  • Health, Toxicology and Mutagenesis 84
Replace Larissa R. Brunner Huber with:
Larissa R. Brunner Huber United States
Marzieh Araban Iran
Kelly M. Bower United States
Kelly Moore United States
Lindsay R. Pool United States
Nooshin Peyman Iran
Gemma Serral Spain
Monica L. Wang United States
Lori Carter‐Edwards United States
Gholamreza Sharifirad Iran
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Citations per field
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Citations per year

Countries citing papers authored by Hai Phung

Since Specialization
Citations

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

Fields of papers citing papers by Hai Phung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Phung. 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 Hai Phung. The network helps show where Hai Phung may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201294
2 201180
3 201862
4 201861
5 200352
6 202246
7 201543
8 202136
9 201234
10 201632
11 201929
12 201529
13 201328
14 200326
15 201626
16 201725
17 201025
18 201324
19 201622
20 201421

About Hai Phung

Hai Phung is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Sociology and Political Science, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Maternal Mental Health During Pregnancy and Postpartum (10 papers), Health disparities and outcomes (5 papers), Climate Change and Health Impacts (5 papers), Obesity, Physical Activity, Diet (4 papers), Disaster Management and Resilience (3 papers), Nutritional Studies and Diet (3 papers), Birth, Development, and Health (3 papers) and Agricultural risk and resilience (2 papers). The work is most often cited by research in Obstetrics and Gynecology (99 citations), Family Practice (24 citations), Public Health, Environmental and Occupational Health (316 citations), Health (67 citations) and Health, Toxicology and Mutagenesis (84 citations). Hai Phung has collaborated with scholars based in Australia, Vietnam and United States. Frequent co-authors include John Eastwood, Lynn Kemp, Bin Jalaludin, Bryanne Barnett, Mai Tran, Ken Hillman, Adrian Bauman, Lis Young, Dung Phung and Petr Otáhal. Their work appears in journals such as International Journal of Environmental Research and Public Health, PLoS ONE, BMC Public Health, International Journal of Health Services and The Medical Journal of Australia.

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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