Pedro Lopes
Impact in
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
- Reproductive Medicine top 10%
- Ovarian function and disorders
Papers in
-
- Biomedical Text Mining and Ontologies 11
- Bioinformatics and Genomic Networks 3
-
- Scientific Computing and Data Management 7
- Co-authors
- José Luís Oliveira (21 shared papers)Thomas Abeel (1 shared paper)Priscila Grynberg (1 shared paper)Geoff Macintyre (1 shared paper)Joel P. Arrais (4 shared papers)Raymond Dalgleish (2 shared papers)José Melo (3 shared papers)Maria José Correia (3 shared papers)
- Journals
- PLoS ONE (2 papers)BMC Bioinformatics (2 papers)Human Mutation (2 papers)PLoS Computational Biology (2 papers)Pharmacoepidemiology and Drug Safety (1 paper)
- Partner nations
- PortugalNetherlandsFrance
In The Last Decade
Pedro Lopes
27 papers receiving 327 citations
Peers
Comparison fields: 5 of 87
- Toxicology 40
- Reproductive Medicine 48
- Periodontics 17
- Information Systems and Management 21
- Computational Theory and Mathematics 32
Countries citing papers authored by Pedro Lopes
This map shows the geographic impact of Pedro Lopes'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 Pedro Lopes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Lopes more than expected).
Fields of papers citing papers by Pedro Lopes
This network shows the impact of papers produced by Pedro Lopes. 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 Pedro Lopes. The network helps show where Pedro Lopes may publish in the future.
Co-authors
The 25 scholars most cited alongside Pedro Lopes, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 50 | |
| 2 | 1995 | 47 | |
| 3 | 2012 | 40 | |
| 4 | 2012 | 34 | |
| 5 | 2012 | 28 | |
| 6 | 2012 | 26 | |
| 7 | 2011 | 18 | |
| 8 | 2013 | 17 | |
| 9 | 2013 | 16 | |
| 10 | 2015 | 14 | |
| 11 | 2012 | 11 | |
| 12 | 2011 | 6 | |
| 13 | 2015 | 6 | |
| 14 | 2013 | 5 | |
| 15 | 2015 | 4 | |
| 16 | 2011 | 3 | |
| 17 | 2011 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2004 | 2 | |
| 20 | 2022 | 2 |
About Pedro Lopes
Pedro Lopes is a scholar working on Molecular Biology, Information Systems and Management, Genetics, Artificial Intelligence and Toxicology, having authored 31 papers that have together received 342 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Scientific Computing and Data Management (7 papers), Genomics and Rare Diseases (6 papers), Semantic Web and Ontologies (4 papers), Data Quality and Management (3 papers), Computational Drug Discovery Methods (3 papers), Salivary Gland Disorders and Functions (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Toxicology (40 citations), Reproductive Medicine (48 citations), Periodontics (17 citations), Information Systems and Management (21 citations) and Computational Theory and Mathematics (32 citations). Pedro Lopes has collaborated with scholars based in Portugal, Netherlands and France. Frequent co-authors include José Luís Oliveira, Thomas Abeel, Priscila Grynberg, Geoff Macintyre, Joel P. Arrais, Raymond Dalgleish, José Melo, Maria José Correia, Marlene Barros and Nuno Rosa. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, Human Mutation, PLoS Computational Biology and Pharmacoepidemiology and Drug Safety.
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.