Paea LePendu
Impact in
- Toxicology top 0.2%
- Pharmacovigilance and Adverse Drug Reactions
- Gastroenterology top 2%
- Gastroesophageal reflux and treatments
Papers in
-
- Biomedical Text Mining and Ontologies 21
- Bioinformatics and Genomic Networks 4
-
- Semantic Web and Ontologies 15
- Co-authors
- Nigam H. Shah (31 shared papers)Srinivasan Iyer (16 shared papers)Anna Bauer‐Mehren (11 shared papers)Rave Harpaz (8 shared papers)John P. Cooke (3 shared papers)Yohannes T. Ghebremariam (3 shared papers)Dejing Dou (8 shared papers)William DuMouchel (2 shared papers)
- Journals
- Journal of the American Medical Informatics Association (5 papers)PLoS ONE (3 papers)Circulation (2 papers)Journal of Biomedical Informatics (2 papers)Clinical Pharmacology & Therapeutics (2 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Paea LePendu
42 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 135
- Toxicology 381
- Gastroenterology 226
- Health Information Management 133
- Artificial Intelligence 518
- Health Informatics 19
Countries citing papers authored by Paea LePendu
This map shows the geographic impact of Paea LePendu'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 Paea LePendu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paea LePendu more than expected).
Fields of papers citing papers by Paea LePendu
This network shows the impact of papers produced by Paea LePendu. 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 Paea LePendu. The network helps show where Paea LePendu may publish in the future.
Co-authors
The 25 scholars most cited alongside Paea LePendu, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 252 | |
| 2 | 2013 | 243 | |
| 3 | 2013 | 197 | |
| 4 | 2014 | 185 | |
| 5 | 2013 | 136 | |
| 6 | 2013 | 133 | |
| 7 | 2014 | 88 | |
| 8 | 2012 | 78 | |
| 9 | 2011 | 72 | |
| 10 | 2013 | 65 | |
| 11 | 2014 | 63 | |
| 12 | 2014 | 50 | |
| 13 | 2013 | 48 | |
| 14 | 2006 | 43 | |
| 15 | 2014 | 40 | |
| 16 | 2006 | 39 | |
| 17 | 2011 | 37 | |
| 18 | 2014 | 33 | |
| 19 | Using temporal patterns in medical records to discern adverse drug events from indications. | 2012 | 33 |
| 20 | 2007 | 32 |
About Paea LePendu
Paea LePendu is a scholar working on Molecular Biology, Artificial Intelligence, Toxicology, Computer Networks and Communications and Information Systems, having authored 45 papers that have together received 2.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (21 papers), Semantic Web and Ontologies (15 papers), Pharmacovigilance and Adverse Drug Reactions (10 papers), Advanced Database Systems and Queries (6 papers), Service-Oriented Architecture and Web Services (5 papers), Bioinformatics and Genomic Networks (4 papers), Pharmaceutical studies and practices (4 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Toxicology (381 citations), Gastroenterology (226 citations), Health Information Management (133 citations), Artificial Intelligence (518 citations) and Health Informatics (19 citations). Paea LePendu has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Nigam H. Shah, Srinivasan Iyer, Anna Bauer‐Mehren, Rave Harpaz, John P. Cooke, Yohannes T. Ghebremariam, Dejing Dou, William DuMouchel, Nicholas J. Leeper and Patrick Ryan. Their work appears in journals such as Journal of the American Medical Informatics Association, PLoS ONE, Circulation, Journal of Biomedical Informatics and Clinical Pharmacology & Therapeutics.
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.