Sara Benito-Vaquerizo

22 total papers · 600 total citations
8 papers, 366 citations indexed

About

Sara Benito-Vaquerizo is a scholar working on Molecular Biology, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Sara Benito-Vaquerizo has authored 8 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Biomedical Engineering and 2 papers in Control and Systems Engineering. Recurrent topics in Sara Benito-Vaquerizo's work include Microbial Metabolic Engineering and Bioproduction (8 papers), Biofuel production and bioconversion (4 papers) and Gene Regulatory Network Analysis (2 papers). Sara Benito-Vaquerizo is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (8 papers), Biofuel production and bioconversion (4 papers) and Gene Regulatory Network Analysis (2 papers). Sara Benito-Vaquerizo collaborates with scholars based in Netherlands, Germany and Switzerland. Sara Benito-Vaquerizo's co-authors include Arren Bar‐Even, Nico J. Claassens, Charles A. R. Cotton, María Suárez‐Diez, Peter J. Schaap, Vítor A. P. Martins dos Santos, Diana Z. Sousa, Martijn Diender, Selçuk Aslan and Εlad Noor and has published in prestigious journals such as Frontiers in Microbiology, Current Opinion in Biotechnology and PLoS Computational Biology.

In The Last Decade

Sara Benito-Vaquerizo

7 papers receiving 365 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sara Benito-Vaquerizo 293 164 60 55 37 8 366
Florian Kremp 218 0.7× 129 0.8× 84 1.4× 83 1.5× 96 2.6× 10 351
Satish Kumar Ainala 292 1.0× 171 1.0× 72 1.2× 34 0.6× 29 0.8× 22 390
Devin H. Currie 289 1.0× 150 0.9× 54 0.9× 34 0.6× 39 1.1× 9 380
Hannes Löwe 192 0.7× 112 0.7× 39 0.7× 117 2.1× 14 0.4× 15 379
M. Ahsanul Islam 223 0.8× 158 1.0× 58 1.0× 37 0.7× 47 1.3× 15 363
Jiyun Bae 256 0.9× 189 1.2× 122 2.0× 79 1.4× 57 1.5× 15 400
Suman Lama 283 1.0× 216 1.3× 28 0.5× 26 0.5× 12 0.3× 15 358
Shivani Garg 324 1.1× 144 0.9× 27 0.5× 25 0.5× 34 0.9× 9 369
J.-S. Shieh 229 0.8× 97 0.6× 33 0.6× 30 0.5× 98 2.6× 9 325
Fuyu Gong 276 0.9× 110 0.7× 60 1.0× 92 1.7× 8 0.2× 16 390

Countries citing papers authored by Sara Benito-Vaquerizo

Since Specialization
Citations

This map shows the geographic impact of Sara Benito-Vaquerizo'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 Sara Benito-Vaquerizo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Benito-Vaquerizo more than expected).

Fields of papers citing papers by Sara Benito-Vaquerizo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Benito-Vaquerizo. 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 Sara Benito-Vaquerizo. The network helps show where Sara Benito-Vaquerizo may publish in the future.

Co-authorship network of co-authors of Sara Benito-Vaquerizo

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Benito-Vaquerizo. A scholar is included among the top collaborators of Sara Benito-Vaquerizo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sara Benito-Vaquerizo. Sara Benito-Vaquerizo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026