Alexander R. Pico
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks 28
- Biomedical Text Mining and Ontologies 14
- Gene expression and cancer classification 10
- Genomics and Phylogenetic Studies 8
- Gene Regulatory Network Analysis 4
- Microbial Metabolic Engineering and Bioproduction 4
- Cancer Research top 2%
- MicroRNA in disease regulation 4
- Aging top 5%
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- Computational Drug Discovery Methods 5
- Biological Psychiatry top 5%
- Co-authors
- Chris T. EveloKristina HanspersBruce R. ConklinThomas KelderMartijn van IerselJohn H. MorrisJorge BouçasBarry Demchak
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Alexander R. Pico
56 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Molecular Biology 5.7k
- Cancer Research 1.0k
- Aging 66
- Computational Theory and Mathematics 510
- Biological Psychiatry 64
Countries citing papers authored by Alexander R. Pico
This map shows the geographic impact of Alexander R. Pico'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 Alexander R. Pico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander R. Pico more than expected).
Fields of papers citing papers by Alexander R. Pico
This network shows the impact of papers produced by Alexander R. Pico. 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 Alexander R. Pico. The network helps show where Alexander R. Pico may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexander R. Pico, 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 | 2025 | 5 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 18 | |
| 4 | WikiPathways: connecting communitiesbreakdown → | 2020 | 507 |
| 5 | 2019 | 25 | |
| 6 | 2018 | 37 | |
| 7 | 2017 | 6 | |
| 8 | 2016 | 18 | |
| 9 | 2015 | 313 | |
| 10 | 2014 | 138 | |
| 11 | A travel guide to Cytoscape pluginsbreakdown → | 2012 | 1149 |
| 12 | 2011 | 384 | |
| 13 | 2010 | 243 | |
| 14 | 2010 | 175 | |
| 15 | 2010 | 123 | |
| 16 | 2009 | 75 | |
| 17 | 2008 | 42 | |
| 18 | 2008 | 269 | |
| 19 | 2007 | 204 | |
| 20 | 1999 | 352 |
About Alexander R. Pico
Alexander R. Pico is a scholar working on Molecular Biology, Information Systems and Management and Cancer Research, having authored 57 papers that have together received 7.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (28 papers), Biomedical Text Mining and Ontologies (14 papers), Gene expression and cancer classification (10 papers), Genomics and Phylogenetic Studies (8 papers), Computational Drug Discovery Methods (5 papers), MicroRNA in disease regulation (4 papers), Gene Regulatory Network Analysis (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in Molecular Biology (5.7k citations), Cancer Research (1.0k citations) and Aging (66 citations). Alexander R. Pico has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Chris T. Evelo, Kristina Hanspers, Bruce R. Conklin, Thomas Kelder, Martijn van Iersel, John H. Morris, Jorge Bouças, Barry Demchak, David Otasek and Samad Lotia. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.