Son Doan
Impact in
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
Papers in
-
- Topic Modeling 11
- Advanced Text Analysis Techniques 8
- Text and Document Classification Technologies 6
- Semantic Web and Ontologies 5
-
- Biomedical Text Mining and Ontologies 17
- Co-authors
- Joshua C. Denny (4 shared papers)Hanzhang Xu (1 shared paper)Shane P. Stenner (1 shared paper)Lemuel R. Waitman (1 shared paper)K. Brandon Johnson (1 shared paper)Nigel Collier (11 shared papers)Mike Conway (9 shared papers)Hua Xu (6 shared papers)
- Journals
- Journal of the American Medical Informatics Association (4 papers)Journal of Biomedical Informatics (3 papers)BMC Medical Informatics and Decision Making (2 papers)Bioinformatics (2 papers)International Journal of Medical Informatics (1 paper)
- Partner nations
- United StatesJapanVietnam
In The Last Decade
Son Doan
33 papers receiving 979 citations
Peers
Comparison fields: 5 of 110
- Toxicology 63
- Health Information Management 77
- Artificial Intelligence 366
- Health Informatics 12
- Epidemiology 172
Countries citing papers authored by Son Doan
This map shows the geographic impact of Son Doan'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 Son Doan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Son Doan more than expected).
Fields of papers citing papers by Son Doan
This network shows the impact of papers produced by Son Doan. 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 Son Doan. The network helps show where Son Doan may publish in the future.
Co-authors
The 25 scholars most cited alongside Son Doan, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 390 | |
| 2 | 2008 | 170 | |
| 3 | 2015 | 56 | |
| 4 | 2010 | 54 | |
| 5 | 2009 | 44 | |
| 6 | 2019 | 43 | |
| 7 | 2016 | 39 | |
| 8 | 2012 | 35 | |
| 9 | Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine. | 2010 | 29 |
| 10 | Ensembles of NLP Tools for Data Element Extraction from Clinical Notes. | 2016 | 19 |
| 11 | 2016 | 17 | |
| 12 | An ontology-driven system for detecting global health events | 2010 | 15 |
| 13 | 2013 | 13 | |
| 14 | 2009 | 12 | |
| 15 | 2005 | 10 | |
| 16 | An automated approach to calculating the daily dose of tacrolimus in electronic health records. | 2010 | 10 |
| 17 | 2009 | 9 | |
| 18 | 2012 | 7 | |
| 19 | 2013 | 6 | |
| 20 | 2019 | 6 |
About Son Doan
Son Doan is a scholar working on Artificial Intelligence, Molecular Biology, Epidemiology, Communication and Health Information Management, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (17 papers), Topic Modeling (11 papers), Advanced Text Analysis Techniques (8 papers), Data-Driven Disease Surveillance (7 papers), Text and Document Classification Technologies (6 papers), Semantic Web and Ontologies (5 papers), Wikis in Education and Collaboration (3 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Toxicology (63 citations), Health Information Management (77 citations), Artificial Intelligence (366 citations), Health Informatics (12 citations) and Epidemiology (172 citations). Son Doan has collaborated with scholars based in United States, Japan and Vietnam. Frequent co-authors include Joshua C. Denny, Hanzhang Xu, Shane P. Stenner, Lemuel R. Waitman, K. Brandon Johnson, Nigel Collier, Mike Conway, Hua Xu, Ai Kawazoe and Hung Q. Ngo. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, BMC Medical Informatics and Decision Making, Bioinformatics and International Journal of Medical Informatics.
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.