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 14
- Endoplasmic Reticulum Stress and Disease 14
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- Amy Shiu Lee (18 shared papers)Anthony J. Carlos (4 shared papers)Richard Van Krieken (4 shared papers)Keigo Machida (3 shared papers)Yuan-Li Tsai (3 shared papers)Parkash S. Gill (2 shared papers)Ze Liu (5 shared papers)Min Xiong (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)Cellular and Molecular Life Sciences (1 paper)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Dat P. Ha
21 papers receiving 802 citations
Peers
Comparison fields: 5 of 60
- Cell Biology 296
- Virology 69
- Infectious Diseases 186
- Immunology 58
- Oncology 59
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 | 135 | |
| 2 | 2018 | 115 | |
| 3 | 2023 | 94 | |
| 4 | 2013 | 77 | |
| 5 | 2020 | 67 | |
| 6 | 2022 | 47 | |
| 7 | 2017 | 45 | |
| 8 | 2018 | 36 | |
| 9 | 2021 | 33 | |
| 10 | 2021 | 30 | |
| 11 | 2022 | 24 | |
| 12 | 2012 | 19 | |
| 13 | 2014 | 19 | |
| 14 | 2021 | 19 | |
| 15 | 2020 | 18 | |
| 16 | 2023 | 14 | |
| 17 | 2024 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2015 | 5 | |
| 20 | 2025 | 3 |
About Dat P. Ha
Dat P. Ha is a scholar working on Cell Biology, Virology, Infectious Diseases, Molecular Biology and Hepatology, having authored 21 papers that have together received 813 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (14 papers), Heat shock proteins research (4 papers), HIV Research and Treatment (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Xenotransplantation and immune response (1 paper), Liver physiology and pathology (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Cell Biology (296 citations), Virology (69 citations), Infectious Diseases (186 citations), Immunology (58 citations) and Oncology (59 citations). Dat P. Ha has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Amy Shiu Lee, Anthony J. Carlos, Richard Van Krieken, Keigo Machida, Yuan-Li Tsai, Parkash S. Gill, Ze Liu, Min Xiong, Justin Qiyun Wang and Pu Zhang. Their work appears in journals such as Neoplasia, Proceedings of the National Academy of Sciences, Retrovirology, Journal of Biological Chemistry and Cellular and Molecular Life Sciences.
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.