Adriano Barbosa-Silva
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- Bioinformatics and Genomic Networks 11
- Biomedical Text Mining and Ontologies 8
- Genomics and Phylogenetic Studies 6
- Machine Learning in Bioinformatics 3
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- Scientific Computing and Data Management 3
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- Computational Drug Discovery Methods 2
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- Plant-Microbe Interactions and Immunity 3
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- Topic Modeling 2
- Co-authors
- Miguel A. Andrade‐NavarroJean−Fred FontaineReinhard SchneiderTheodoros SoldatosGeorgios A. PavlopoulosMartin H. SchaeferMatthew R. HuskaEnrique M. Muro
- Partner nations
- GermanyBrazilLuxembourg
In The Last Decade
Adriano Barbosa-Silva
26 papers receiving 689 citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 473
- Health Informatics 9
- Genetics 127
- Information Systems and Management 25
- Computational Theory and Mathematics 51
Countries citing papers authored by Adriano Barbosa-Silva
This map shows the geographic impact of Adriano Barbosa-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 Adriano Barbosa-Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adriano Barbosa-Silva more than expected).
Fields of papers citing papers by Adriano Barbosa-Silva
This network shows the impact of papers produced by Adriano Barbosa-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 Adriano Barbosa-Silva. The network helps show where Adriano Barbosa-Silva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adriano Barbosa-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 | 2024 | 7 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 11 | |
| 4 | 2020 | 3 | |
| 5 | 2019 | 21 | |
| 6 | 2019 | 5 | |
| 7 | 2017 | 14 | |
| 8 | 2016 | 34 | |
| 9 | 2014 | 4 | |
| 10 | 2013 | 65 | |
| 11 | 2012 | 36 | |
| 12 | 2011 | 64 | |
| 13 | 2010 | 20 | |
| 14 | 2010 | 85 | |
| 15 | 2009 | 107 | |
| 16 | 2009 | 25 | |
| 17 | 2008 | 7 | |
| 18 | 2008 | 7 | |
| 19 | Development of SRS.php, a Simple Object Access Protocol-based library for data acquisition from integrated biological databases. | 2007 | 1 |
| 20 | 2006 | 79 |
About Adriano Barbosa-Silva
Adriano Barbosa-Silva is a scholar working on Information Systems and Management, Molecular Biology and Biophysics, having authored 26 papers that have together received 708 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Biomedical Text Mining and Ontologies (8 papers), Genomics and Phylogenetic Studies (6 papers), Machine Learning in Bioinformatics (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Scientific Computing and Data Management (3 papers), Computational Drug Discovery Methods (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Molecular Biology (473 citations), Health Informatics (9 citations) and Genetics (127 citations). Adriano Barbosa-Silva has collaborated with scholars based in Germany, Brazil and Luxembourg. Frequent co-authors include Miguel A. Andrade‐Navarro, Jean−Fred Fontaine, Reinhard Schneider, Theodoros Soldatos, Georgios A. Pavlopoulos, Martin H. Schaefer, Matthew R. Huska, Enrique M. Muro, Achim Leutz and Florian Priller. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.
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.