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
-
- Autophagy in Disease and Therapy 7
- 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)Pu Zhang (1 shared paper)
- Journals
- Neoplasia (4 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (2 papers)Retrovirology (2 papers)Journal of environmental chemical engineering (1 paper)
- Partner nations
- United StatesItalyBangladesh
In The Last Decade
Dat P. Ha
20 papers receiving 604 citations
Peers
Comparison fields: 5 of 77
- Cell Biology 265
- Virology 74
- Infectious Diseases 123
- Epidemiology 179
- Immunology 94
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 118 | |
| 2 | 2018 | 100 | |
| 3 | 2023 | 75 | |
| 4 | 2013 | 74 | |
| 5 | 2017 | 39 | |
| 6 | 2018 | 32 | |
| 7 | 2021 | 26 | |
| 8 | 2021 | 23 | |
| 9 | 2012 | 19 | |
| 10 | 2014 | 19 | |
| 11 | 2022 | 17 | |
| 12 | 2020 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2023 | 12 | |
| 15 | 2023 | 12 | |
| 16 | 2024 | 5 | |
| 17 | 2015 | 5 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2017 | 1 |
About Dat P. Ha
Dat P. Ha is a scholar working on Cell Biology, Epidemiology, Molecular Biology, Surgery and Virology, having authored 20 papers that have together received 614 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (15 papers), Autophagy in Disease and Therapy (7 papers), Pancreatic function and diabetes (6 papers), Heat shock proteins research (4 papers), HIV Research and Treatment (3 papers), Cellular transport and secretion (3 papers), Pancreatitis Pathology and Treatment (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Cell Biology (265 citations), Virology (74 citations), Infectious Diseases (123 citations), Epidemiology (179 citations) and Immunology (94 citations). Dat P. Ha has collaborated with scholars based in United States, Italy and Bangladesh. Frequent co-authors include Amy S. Lee, Anthony J. Carlos, Yuan-Li Tsai, Richard Van Krieken, Parkash S. Gill, Ze Liu, Keigo Machida, Pu Zhang, Da‐Wei Yeh and Hung Fan. Their work appears in journals such as Neoplasia, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Retrovirology 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.