Juan Cedano
Impact in
- Molecular Biology top 10%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA Interference and Gene Delivery
- Protein Structure and Dynamics
- Advanced biosensing and bioanalysis techniques
- Biotechnology top 10%
Papers in
-
- Protein Structure and Dynamics 14
- Bioinformatics and Genomic Networks 10
- Machine Learning in Bioinformatics 7
- RNA and protein synthesis mechanisms 7
- RNA Interference and Gene Delivery 6
- Genomics and Phylogenetic Studies 6
- Co-authors
- Enrique QuerolJosep A. Pérez-PonsPatrick AloyJosé Luís CorcheroÁngel Mozo-VillariasEsther VázquezAntonio VillaverdeNeus Ferrer‐Miralles
In The Last Decade
Juan Cedano
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.0k
- Biotechnology 87
- Microbiology 62
- Biomaterials 118
- Immunology 132
Countries citing papers authored by Juan Cedano
This map shows the geographic impact of Juan Cedano'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 Juan Cedano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Cedano more than expected).
Fields of papers citing papers by Juan Cedano
This network shows the impact of papers produced by Juan Cedano. 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 Juan Cedano. The network helps show where Juan Cedano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juan Cedano, 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 | 2023 | 5 | |
| 2 | 2023 | 7 | |
| 3 | 2018 | 22 | |
| 4 | 2015 | 22 | |
| 5 | 2015 | 4 | |
| 6 | 2013 | 52 | |
| 7 | 2012 | 16 | |
| 8 | 2011 | 26 | |
| 9 | 2011 | 5 | |
| 10 | 2010 | 1 | |
| 11 | 2009 | 5 | |
| 12 | 2009 | 3 | |
| 13 | 2007 | 3 | |
| 14 | 2007 | 9 | |
| 15 | 2006 | 10 | |
| 16 | 2003 | 26 | |
| 17 | 2003 | 38 | |
| 18 | 1997 | 349 | |
| 19 | 1997 | 21 | |
| 20 | 1994 | 7 |
About Juan Cedano
Juan Cedano is a scholar working on Molecular Biology, Biotechnology, Ecology, Spectroscopy and Immunology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (14 papers), Bioinformatics and Genomic Networks (10 papers), Machine Learning in Bioinformatics (7 papers), RNA and protein synthesis mechanisms (7 papers), Bacteriophages and microbial interactions (7 papers), RNA Interference and Gene Delivery (6 papers), Genomics and Phylogenetic Studies (6 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Biotechnology (87 citations), Microbiology (62 citations), Biomaterials (118 citations) and Immunology (132 citations). Juan Cedano has collaborated with scholars based in Spain, Uruguay and India. Frequent co-authors include Enrique Querol, Josep A. Pérez-Pons, Patrick Aloy, José Luís Corchero, Ángel Mozo-Villarias, Esther Vázquez, Antonio Villaverde, Neus Ferrer‐Miralles, Jaume Piñol and Ugutz Unzueta. Their work appears in journals such as The Protein Journal, European Biophysics Journal, Nanomedicine, Bioinformatics and Microbial Cell Factories.
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.