Pedro E. A. da Silva
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Tuberculosis Research and Epidemiology 4
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- Cancer therapeutics and mechanisms 3
- Viral Infectious Diseases and Gene Expression in Insects 1
- Protein purification and stability 1
- Co-authors
- Juan Carlos Palomino (1 shared paper)Daniela Fernandes Ramos (4 shared papers)Andréa von Groll (4 shared papers)Kelly C. G. de Moura (2 shared papers)Paula F. Carneiro (2 shared papers)Carlos James Scaini (2 shared papers)Marcus de Souza (1 shared paper)Tatiane S. Coelho (2 shared papers)
In The Last Decade
Pedro E. A. da Silva
10 papers receiving 467 citations
Peers
Comparison fields: 5 of 63
- Infectious Diseases 317
- Molecular Medicine 53
- Toxicology 23
- Epidemiology 192
- Applied Microbiology and Biotechnology 5
Countries citing papers authored by Pedro E. A. da Silva
This map shows the geographic impact of Pedro E. A. da Silva'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 E. A. da Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro E. A. da Silva more than expected).
Fields of papers citing papers by Pedro E. A. da Silva
This network shows the impact of papers produced by Pedro E. A. da Silva. 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 E. A. da Silva. The network helps show where Pedro E. A. da Silva may publish in the future.
Co-authors
The 25 scholars most cited alongside Pedro E. A. da Silva, 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 | 2011 | 378 | |
| 2 | 2018 | 29 | |
| 3 | 2012 | 19 | |
| 4 | 2008 | 19 | |
| 5 | 2009 | 11 | |
| 6 | 2018 | 5 | |
| 7 | Antimicrobial evaluation of quinones and heterocyclic compounds against mycobacterium marinum, M. kansasii and M. abscessus | 2012 | 5 |
| 8 | 2017 | 5 | |
| 9 | 2016 | 4 | |
| 10 | 2019 | 3 |
About Pedro E. A. da Silva
Pedro E. A. da Silva is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Organic Chemistry and Surgery, having authored 10 papers that have together received 478 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers), Cancer therapeutics and mechanisms (3 papers), Synthesis and biological activity (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Helicobacter pylori-related gastroenterology studies (1 paper), Computational Drug Discovery Methods (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Infectious Diseases (317 citations), Molecular Medicine (53 citations), Toxicology (23 citations), Epidemiology (192 citations) and Applied Microbiology and Biotechnology (5 citations). Pedro E. A. da Silva has collaborated with scholars based in Brazil, Portugal and Belgium. Frequent co-authors include Juan Carlos Palomino, Daniela Fernandes Ramos, Andréa von Groll, Kelly C. G. de Moura, Paula F. Carneiro, Carlos James Scaini, Marcus de Souza, Tatiane S. Coelho, Marcelle de Lima Ferreira Bispo and Raoni S. B. Gonçalves. Their work appears in journals such as Journal of Medical Microbiology, Frontiers in Microbiology, Journal of Antimicrobial Chemotherapy, Digestive Diseases and Sciences and Journal of Global Antimicrobial Resistance.
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.