Do H. Dung

915 citations
22 papers · 525 indexed · h-index 10

Do H. Dung

21 papers receiving 516 citations

Peers

Do H. Dung
Comparison fields: 5 of 47
  • Agronomy and Crop Science 444
  • Ecology, Evolution, Behavior and Systematics 192
  • Modeling and Simulation 45
  • Infectious Diseases 152
  • Cardiology and Cardiovascular Medicine 183
Replace Le T. Vu with:
Le T. Vu United States
David D. Lazarus Nigeria
Amos Ssematimba Uganda
Leo Loth Italy
J Smak Netherlands
Frits Pluimers Netherlands
M.W. Stern New Zealand
Pham P. Vu Vietnam
M. Nielen Netherlands
Yiltawe Wungak Nigeria
Do H. Dung relative to Le T. Vu United States Le T. Vu's profile →
Citations per field
00.5×
Le T. Vu · 1×
Citations per year

Countries citing papers authored by Do H. Dung

Since Specialization
Citations

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

Fields of papers citing papers by Do H. Dung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do H. Dung. 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 Do H. Dung. The network helps show where Do H. Dung may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20215
3 20217
4 20203
5 201917
6 201973
7 201837
8 201838
9 20173
10 201728
11 201725
12 20179
13 20165
14 2013111
15 201264
16 201029
17 200950
18
Pilot Programme for Certified Smallholder Poultry Supply Chains for Hanoi
20063
19
Commune-level simulation model of HPAI H5N1 poultry infection and control in Viet Nam
20064
20 20044

About Do H. Dung

Do H. Dung is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Cardiology and Cardiovascular Medicine, Modeling and Simulation and Animal Science and Zoology, having authored 22 papers that have together received 525 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (20 papers), Viral Infections and Immunology Research (11 papers), Vector-Borne Animal Diseases (11 papers), Influenza Virus Research Studies (5 papers), Viral gastroenteritis research and epidemiology (2 papers), COVID-19 epidemiological studies (2 papers), Salmonella and Campylobacter epidemiology (2 papers) and Livestock and Poultry Management (2 papers). The work is most often cited by research in Agronomy and Crop Science (444 citations), Ecology, Evolution, Behavior and Systematics (192 citations), Modeling and Simulation (45 citations), Infectious Diseases (152 citations) and Cardiology and Cardiovascular Medicine (183 citations). Do H. Dung has collaborated with scholars based in Vietnam, United States and United Kingdom. Frequent co-authors include Dirk U. Pfeiffer, Azra C. Ghani, Javier Guitián, Punam Mangtani, Stéphanie Desvaux, Guillaume Fournié, Jonathan Arzt, Steven J. Pauszek, Le T. Vu and Carolina Stenfeldt. Their work appears in journals such as PLoS Computational Biology, PLoS ONE, Scientific Reports, Frontiers in Veterinary Science and Avian Diseases.

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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