Decha Tangseefa
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Scientific Computing and Data Management
Papers in
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- Ethics in Clinical Research 3
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- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Susan Bull (3 shared papers)Phaik Yeong Cheah (3 shared papers)François Nosten (1 shared paper)Nicholas Day (1 shared paper)Michael Parker (1 shared paper)Vicki Marsh (2 shared papers)Irene Jao (2 shared papers)Neena Shah More (2 shared papers)
- Journals
- Journal of Empirical Research on Human Research Ethics (3 papers)Alternatives Global Local Political (1 paper)
- Partner nations
- ThailandUnited KingdomSouth Africa
In The Last Decade
Decha Tangseefa
5 papers receiving 127 citations
Peers
Comparison fields: 5 of 46
- Health Informatics 14
- Information Systems and Management 20
- Public Health, Environmental and Occupational Health 68
- Information Systems 40
- Statistics, Probability and Uncertainty 10
Countries citing papers authored by Decha Tangseefa
This map shows the geographic impact of Decha Tangseefa'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 Decha Tangseefa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Decha Tangseefa more than expected).
Fields of papers citing papers by Decha Tangseefa
This network shows the impact of papers produced by Decha Tangseefa. 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 Decha Tangseefa. The network helps show where Decha Tangseefa may publish in the future.
Co-authors
The 14 scholars most cited alongside Decha Tangseefa, 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 | 2015 | 58 | |
| 2 | 2015 | 50 | |
| 3 | 2006 | 23 | |
| 4 | 2009 | 4 | |
| 5 | Ethics and best practices for sharing individual-level health research data from low and middle income settings | 2015 | 3 |
About Decha Tangseefa
Decha Tangseefa is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Political Science and International Relations, Sociology and Political Science and Health Informatics, having authored 5 papers that have together received 138 indexed citations. Recurring topics across this work include Ethics in Clinical Research (3 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Migration, Refugees, and Integration (1 paper), Southeast Asian Sociopolitical Studies (1 paper), Asian Geopolitics and Ethnography (1 paper) and Biomedical Ethics and Regulation (1 paper). The work is most often cited by research in Health Informatics (14 citations), Information Systems and Management (20 citations), Public Health, Environmental and Occupational Health (68 citations), Information Systems (40 citations) and Statistics, Probability and Uncertainty (10 citations). Decha Tangseefa has collaborated with scholars based in Thailand, United Kingdom and South Africa. Frequent co-authors include Susan Bull, Phaik Yeong Cheah, François Nosten, Nicholas Day, Michael Parker, Vicki Marsh, Irene Jao, Michael Parker, Neena Shah More and Laura Merson. Their work appears in journals such as Journal of Empirical Research on Human Research Ethics and Alternatives Global Local Political.
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.