Alejandro Peña
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
- Escherichia coli research studies
Papers in
-
- Protist diversity and phylogeny 3
- RNA Interference and Gene Delivery 3
- Genomics and Phylogenetic Studies 2
- Genetics 9
- Bacterial Genetics and Biotechnology 9
- Co-authors
- Ignacio Aréchaga (6 shared papers)Fernando de la Cruz (5 shared papers)Elena Cabezón (4 shared papers)Jorge Ripoll‐Rozada (3 shared papers)Carolyn A. Moores (4 shared papers)Julia Locke (3 shared papers)Gad Frankel (4 shared papers)Edward H. Egelman (4 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Bacteriology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Structure (2 papers)Journal of Molecular Biology (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Alejandro Peña
16 papers receiving 629 citations
Peers
Comparison fields: 5 of 71
- Molecular Medicine 169
- Endocrinology 114
- Structural Biology 22
- Microbiology 6
- Genetics 211
Countries citing papers authored by Alejandro Peña
This map shows the geographic impact of Alejandro Peña'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 Alejandro Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Peña more than expected).
Fields of papers citing papers by Alejandro Peña
This network shows the impact of papers produced by Alejandro Peña. 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 Alejandro Peña. The network helps show where Alejandro Peña may publish in the future.
Co-authors
The 25 scholars most cited alongside Alejandro Peña, 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 | 2014 | 224 | |
| 2 | 2022 | 61 | |
| 3 | 2012 | 59 | |
| 4 | 2017 | 44 | |
| 5 | 2008 | 40 | |
| 6 | 2012 | 31 | |
| 7 | 2022 | 28 | |
| 8 | 2020 | 28 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 21 | |
| 11 | 2011 | 17 | |
| 12 | 2012 | 17 | |
| 13 | 2019 | 17 | |
| 14 | 2013 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2018 | 8 |
About Alejandro Peña
Alejandro Peña is a scholar working on Molecular Biology, Genetics, Ecology, Cell Biology and Endocrinology, having authored 16 papers that have together received 644 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (9 papers), Bacteriophages and microbial interactions (5 papers), Microtubule and mitosis dynamics (4 papers), Protist diversity and phylogeny (3 papers), Escherichia coli research studies (3 papers), RNA Interference and Gene Delivery (3 papers), Cellular transport and secretion (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Molecular Medicine (169 citations), Endocrinology (114 citations), Structural Biology (22 citations), Microbiology (6 citations) and Genetics (211 citations). Alejandro Peña has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Ignacio Aréchaga, Fernando de la Cruz, Elena Cabezón, Jorge Ripoll‐Rozada, Carolyn A. Moores, Julia Locke, Gad Frankel, Edward H. Egelman, Sandra Zunzunegui and Maya Topf. Their work appears in journals such as Journal of Biological Chemistry, Journal of Bacteriology, Proceedings of the National Academy of Sciences, Structure and Journal of Molecular Biology.
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.