Hai Phung

9.2k citations
68 papers · 1.1k · h-index 20

Impact in

Papers in

Hai Phung

61 papers receiving 1.0k citations

Peers

Hai Phung
Comparison fields: 5 of 129
  • Obstetrics and Gynecology 153
  • Public Health, Environmental and Occupational Health 427
  • Health 120
  • Family Practice 27
  • Pediatrics, Perinatology and Child Health 182
Replace Larissa R. Brunner Huber with:
Larissa R. Brunner Huber United States
Marzieh Araban Iran
Shawnita Sealy–Jefferson United States
Malihe Nasiri Iran
Darren Dahly Ireland
Kelly M. Bower United States
Jean Tafforeau Belgium
Jo Longman Australia
Nicola Gray United Kingdom
Fawaz Mzayek United States
Hai Phung relative to Larissa R. Brunner Huber United States Larissa R. Brunner Huber's profile →
Citations per field
00.5×1.5×
Larissa R. Brunner Huber · 1×
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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201293
2 201179
3 201863
4 201861
5 200352
6 201543
7 202243
8 202134
9 201234
10 201632
11 201328
12 201528
13 201928
14 201026
15 200325
16 201725
17 201625
18 201324
19 201422
20 201622

About Hai Phung

Hai Phung is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine and Health, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (11 papers), Maternal Mental Health During Pregnancy and Postpartum (10 papers), Health disparities and outcomes (7 papers), Birth, Development, and Health (6 papers), Global Public Health Policies and Epidemiology (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers) and Gestational Diabetes Research and Management (4 papers). The work is most often cited by research in Obstetrics and Gynecology (153 citations), Public Health, Environmental and Occupational Health (427 citations), Health (120 citations), Family Practice (27 citations) and Pediatrics, Perinatology and Child Health (182 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 Mark Nelson. Their work appears in journals such as International Journal of Environmental Research and Public Health, BMC Public Health, PLoS ONE, Public Health Nutrition and World Medical & Health Policy.

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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