Hoa Do

103 papers receiving 29.1k citations

Hoa Do's Hit Papers

How and when AI-driven HRM promotes employee resilience and adaptive performance: A self-determination theory 2025 · 20 citations
200+2+4Years since publication4k8k12k

Peers

Hoa Do
Comparison fields: 5 of 217
  • Health, Toxicology and Mutagenesis 2.5k
  • Pharmacology 1.7k
  • Hepatology 886
  • Epidemiology 3.1k
  • Physiology 2.4k
Replace Kiana Ramezanzadeh with:
Kiana Ramezanzadeh United States
Logan Sandar United States
Konstantinos Stroumpoulis Greece
Fariba Dorostkar United States
Prasanna P Mithra India
Samir Soneji United States
Huyen Phuc Do United States
Morteza Arab‐Zozani Iran
Antonio Biondi Italy
Feleke Mekonnen Demeke Ethiopia
Hoa Do relative to Kiana Ramezanzadeh United States Kiana Ramezanzadeh's profile →
Citations per field
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Kiana Ramezanzadeh · 1×
Citations per year

Countries citing papers authored by Hoa Do

Since Specialization
Citations

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

Fields of papers citing papers by Hoa Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
Hit paper breakdown →
202013876
2
Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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20207042
3
Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019
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20201513
4
The global, regional, and national burden of cirrhosis by cause in 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
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20201254
5
Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019
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20211174
6
Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021
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2023970
7
The global, regional, and national burden of pancreatic cancer and its attributable risk factors in 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
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2019518
8
Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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2020507
9
Building organizational resilience, innovation through resource-based management initiatives, organizational learning and environmental dynamism
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2021336
10
Measuring the availability of human resources for health and its relationship to universal health coverage for 204 countries and territories from 1990 to 2019: a systematic analysis for the Global Burden of Disease Study 2019
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2022287
11 2020157
12 2020148
13 2019143
14 2021134
15 2020133
16 2020123
17 2022105
18 201080
19 202079
20 200173

About Hoa Do

Hoa Do is a scholar working on Atomic and Molecular Physics, and Optics, Epidemiology, Finance, Emergency Medical Services and Public Health, Environmental and Occupational Health, having authored 105 papers that have together received 30k indexed citations. Recurring topics across this work include Magnetic properties of thin films (37 papers), Influenza Virus Research Studies (6 papers), Healthcare Systems and Reforms (5 papers), Advanced Data Storage Technologies (5 papers), Injury Epidemiology and Prevention (3 papers), HIV/AIDS Research and Interventions (3 papers), Food Safety and Hygiene (3 papers) and Child Nutrition and Water Access (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.5k citations), Pharmacology (1.7k citations), Hepatology (886 citations), Epidemiology (3.1k citations) and Physiology (2.4k citations). Hoa Do has collaborated with scholars based in United States, Vietnam and Singapore. Frequent co-authors include Helen Joanne Shipton, Pawan S Budhwar, Bach Nguyen, Kentaro Takano, Y. Ikeda, David T. Margulies, Andreas Berger, Carl Asher Latkin, Roger Ho and Bach Xuan Tran. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Magnetics, The Lancet, International Journal of Environmental Research and Public Health and Journal of Magnetism and Magnetic Materials.

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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