Dat P. Ha
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Virology top 10%
- HIV Research and Treatment
Papers in
- Cell Biology 15
- Endoplasmic Reticulum Stress and Disease 15
- Cellular transport and secretion 3
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- Heat shock proteins research 4
- RNA regulation and disease 2
- Co-authors
- Amy S. Lee (16 shared papers)Anthony J. Carlos (3 shared papers)Yuan-Li Tsai (3 shared papers)Richard Van Krieken (3 shared papers)Parkash S. Gill (2 shared papers)Ze Liu (5 shared papers)Keigo Machida (2 shared papers)Justin Wang (1 shared paper)
- Journals
- Neoplasia (4 papers)Proceedings of the National Academy of Sciences (4 papers)Retrovirology (2 papers)Journal of Biological Chemistry (2 papers)Journal of environmental chemical engineering (1 paper)
- Partner nations
- United StatesItalyVietnam
In The Last Decade
Dat P. Ha
20 papers receiving 637 citations
Peers
Comparison fields: 5 of 77
- Cell Biology 272
- Virology 69
- Infectious Diseases 116
- Epidemiology 154
- Immunology 88
Countries citing papers authored by Dat P. Ha
This map shows the geographic impact of Dat P. Ha'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 P. Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dat P. Ha more than expected).
Fields of papers citing papers by Dat P. Ha
This network shows the impact of papers produced by Dat P. Ha. 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 P. Ha. The network helps show where Dat P. Ha may publish in the future.
Co-authors
The 25 scholars most cited alongside Dat P. Ha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 121 | |
| 2 | 2018 | 105 | |
| 3 | 2023 | 83 | |
| 4 | 2013 | 75 | |
| 5 | 2017 | 40 | |
| 6 | 2018 | 34 | |
| 7 | 2021 | 30 | |
| 8 | 2021 | 27 | |
| 9 | 2014 | 20 | |
| 10 | 2012 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2021 | 17 | |
| 14 | 2023 | 12 | |
| 15 | 2023 | 12 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2017 | 1 | |
| 20 | 2025 | 1 |
About Dat P. Ha
Dat P. Ha is a scholar working on Cell Biology, Molecular Biology, Epidemiology, Surgery and Infectious Diseases, having authored 21 papers that have together received 647 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (15 papers), Autophagy in Disease and Therapy (6 papers), Pancreatic function and diabetes (6 papers), Heat shock proteins research (4 papers), Cellular transport and secretion (3 papers), Pancreatitis Pathology and Treatment (2 papers), RNA regulation and disease (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Cell Biology (272 citations), Virology (69 citations), Infectious Diseases (116 citations), Epidemiology (154 citations) and Immunology (88 citations). Dat P. Ha has collaborated with scholars based in United States, Italy and Vietnam. Frequent co-authors include Amy S. Lee, Anthony J. Carlos, Yuan-Li Tsai, Richard Van Krieken, Parkash S. Gill, Ze Liu, Keigo Machida, Justin Wang, Hung Fan and Takayuki Nitta. Their work appears in journals such as Neoplasia, Proceedings of the National Academy of Sciences, Retrovirology, Journal of Biological Chemistry and Journal of environmental chemical engineering.
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.