Dat Duong

2.3k citations
57 papers · 1.6k · h-index 21

Impact in

Papers in

Dat Duong

54 papers receiving 1.5k citations

Peers

Dat Duong
Comparison fields: 5 of 129
  • Health Informatics 93
  • Obstetrics and Gynecology 284
  • Applied Microbiology and Biotechnology 45
  • Pediatrics, Perinatology and Child Health 213
  • Safety, Risk, Reliability and Quality 101
Replace Sohee Kwon with:
Sohee Kwon United States
Hamed Tabesh Iran
Biju Soman India
Akhil Dhanesh Goel India
Raffaela Di Napoli Belgium
Scott C. Dulebohn United States
Renan Moritz Varnier Rodrigues de Almeida Brazil
Liehua Deng China
Anusila Deka United States
Amerta Ghosh India
Dat Duong relative to Sohee Kwon United States Sohee Kwon's profile →
Citations per field
00.5×20×40×50.5×
Sohee Kwon · 1×
Citations per year

Countries citing papers authored by Dat Duong

Since Specialization
Citations

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

Fields of papers citing papers by Dat Duong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018196
2 2004110
3 2004104
4 2023102
5 200499
6 201292
7 199785
8 201958
9 200555
10 201946
11 201838
12 201929
13 200529
14 201627
15 201427
16 201926
17 201225
18 201624
19 201424
20 201823

About Dat Duong

Dat Duong is a scholar working on Obstetrics and Gynecology, Epidemiology, Genetics, Health Informatics and Safety, Risk, Reliability and Quality, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Breastfeeding Practices and Influences (9 papers), Genomics and Rare Diseases (8 papers), Gestational Diabetes Research and Management (6 papers), Ophthalmology and Visual Impairment Studies (6 papers), Genetic Associations and Epidemiology (6 papers), Artificial Intelligence in Healthcare and Education (4 papers), Cancer Genomics and Diagnostics (3 papers) and Urban Transport and Accessibility (3 papers). The work is most often cited by research in Health Informatics (93 citations), Obstetrics and Gynecology (284 citations), Applied Microbiology and Biotechnology (45 citations), Pediatrics, Perinatology and Child Health (213 citations) and Safety, Risk, Reliability and Quality (101 citations). Dat Duong has collaborated with scholars based in United States, Australia and Vietnam. Frequent co-authors include Colin William Binns, Andy H. Lee, Benjamin D. Solomon, Ngoc Minh Pham, Cong Luat Nguyen, Lynn B. Meuleners, Quang Dai La, Eleazar Eskin, Buhm Han and Rebekah L. Waikel. Their work appears in journals such as Bioinformatics, European Journal of Human Genetics, Acta Paediatrica, Genetics in Medicine and Australasian Journal on Ageing.

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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