Alejandro Arce‐Rodríguez
Impact in
- Molecular Medicine top 10%
- Endocrinology top 10%
Papers in
-
- Bacterial biofilms and quorum sensing 8
- Genomics and Phylogenetic Studies 4
- Genetics 8
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Pablo I. Nikel (6 shared papers)Vı́ctor de Lorenzo (6 shared papers)Belén Calles (5 shared papers)Max Chavarría (6 shared papers)Raúl Platero (3 shared papers)Gonzalo Durante‐Rodríguez (2 shared papers)Rafael Silva‐Rocha (2 shared papers)Juhyun Kim (1 shared paper)
In The Last Decade
Alejandro Arce‐Rodríguez
23 papers receiving 924 citations
Alejandro Arce‐Rodríguez's Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Medicine 67
- Endocrinology 54
- Genetics 266
- Molecular Biology 648
- Ecology 215
Countries citing papers authored by Alejandro Arce‐Rodríguez
This map shows the geographic impact of Alejandro Arce‐Rodríguez'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 Arce‐Rodríguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Arce‐Rodríguez more than expected).
Fields of papers citing papers by Alejandro Arce‐Rodríguez
This network shows the impact of papers produced by Alejandro Arce‐Rodríguez. 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 Arce‐Rodríguez. The network helps show where Alejandro Arce‐Rodríguez may publish in the future.
Co-authors
The 25 scholars most cited alongside Alejandro Arce‐Rodríguez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Standard European Vector Architecture (SEVA): a coherent platform for the analysis and deployment of complex prokaryotic phenotypes Hit paper breakdown → | 2012 | 510 |
| 2 | 2018 | 111 | |
| 3 | 2010 | 36 | |
| 4 | 2019 | 33 | |
| 5 | 2022 | 28 | |
| 6 | 2019 | 27 | |
| 7 | 2015 | 26 | |
| 8 | 2022 | 26 | |
| 9 | 2019 | 25 | |
| 10 | 2023 | 22 | |
| 11 | 2020 | 20 | |
| 12 | 2016 | 14 | |
| 13 | 2011 | 13 | |
| 14 | 2023 | 12 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2021 | 3 |
About Alejandro Arce‐Rodríguez
Alejandro Arce‐Rodríguez is a scholar working on Molecular Biology, Genetics, Ecology, Environmental Chemistry and Endocrinology, having authored 25 papers that have together received 936 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (8 papers), Bacterial Genetics and Biotechnology (8 papers), Vibrio bacteria research studies (5 papers), Metal Extraction and Bioleaching (4 papers), Microbial Community Ecology and Physiology (4 papers), Genomics and Phylogenetic Studies (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Mine drainage and remediation techniques (3 papers). The work is most often cited by research in Molecular Medicine (67 citations), Endocrinology (54 citations), Genetics (266 citations), Molecular Biology (648 citations) and Ecology (215 citations). Alejandro Arce‐Rodríguez has collaborated with scholars based in Germany, Spain and Denmark. Frequent co-authors include Pablo I. Nikel, Vı́ctor de Lorenzo, Belén Calles, Max Chavarría, Raúl Platero, Gonzalo Durante‐Rodríguez, Rafael Silva‐Rocha, Juhyun Kim, Esteban Martínez‐García and Aitor de las Heras. Their work appears in journals such as Environmental Microbiology, Extremophiles, Nucleic Acids Research, Nature Protocols and Cytotherapy.
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.