Alejandro Arce‐Rodríguez

26 papers receiving 993 citations

Alejandro Arce‐Rodríguez's Hit Papers

The Standard European Vector Architecture (SEVA): a coherent platform for the analysis and deployment of complex prokaryotic phenotypes 2012 · 526 citations
5260+4+9Years since publication100200300400500

Peers

Alejandro Arce‐Rodríguez
Comparison fields: 5 of 92
  • Molecular Medicine 67
  • Endocrinology 56
  • Genetics 273
  • Molecular Biology 671
  • Environmental Chemistry 91
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Kelly M. Wetmore United States
Khiem Thien Tran United States
Aurelio Moraleda‐Muñoz Spain
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Yongliang Yan China
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Jean Huang United States
Muriel C. F. van Teeseling Germany
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Citations per year

Countries citing papers authored by Alejandro Arce‐Rodríguez

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Alejandro Arce‐Rodríguez Line = papers co-authored together Alejandro Arce‐Rodríguez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 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 →
2012526
2 2018118
3 201936
4 201034
5 202230
6 202229
7 201927
8 201526
9 201926
10 202323
11 202023
12 202220
13 201617
14 201113
15 202313
16 20218
17 20207
18 20256
19 20215
20 20234

About Alejandro Arce‐Rodríguez

Alejandro Arce‐Rodríguez is a scholar working on Environmental Chemistry, Endocrinology, Ecology, Genetics and Molecular Biology, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Bacterial biofilms and quorum sensing (8 papers), Microbial Community Ecology and Physiology (6 papers), Vibrio bacteria research studies (6 papers), Metal Extraction and Bioleaching (5 papers), Genomics and Phylogenetic Studies (4 papers), Marine and coastal ecosystems (4 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Molecular Medicine (67 citations), Endocrinology (56 citations), Genetics (273 citations), Molecular Biology (671 citations) and Environmental Chemistry (91 citations). Alejandro Arce‐Rodríguez has collaborated with scholars based in Germany, Spain and Costa Rica. Frequent co-authors include Pablo Ivan Nikel, Vı́ctor de Lorenzo, Belén Calles, Max Chavarría, Raúl Platero, Gonzalo Durante‐Rodríguez, Rafael Silva‐Rocha, Aitor de las Heras, Juhyun Kim and Esteban Martínez‐García. Their work appears in journals such as Environmental Microbiology, Extremophiles, Microbial Biotechnology, Nucleic Acids Research and mBio.

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.

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