Victoria Rigual

30 total papers · 1.1k total citations
26 papers, 872 citations indexed

About

Victoria Rigual is a scholar working on Biomedical Engineering, Biomaterials and Plant Science. According to data from OpenAlex, Victoria Rigual has authored 26 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 12 papers in Biomaterials and 5 papers in Plant Science. Recurrent topics in Victoria Rigual's work include Lignin and Wood Chemistry (17 papers), Biofuel production and bioconversion (15 papers) and Advanced Cellulose Research Studies (12 papers). Victoria Rigual is often cited by papers focused on Lignin and Wood Chemistry (17 papers), Biofuel production and bioconversion (15 papers) and Advanced Cellulose Research Studies (12 papers). Victoria Rigual collaborates with scholars based in Spain, United States and United Kingdom. Victoria Rigual's co-authors include Francisco Rodrı́guez, M. Virginia Alonso, Mercedes Oliet, Juan C. Domínguez, Julián García, Miguel Ayuso, Noemí Delgado‐Mellado, Marcos Larriba, Pablo Navarro and Sandra Rivas and has published in prestigious journals such as Bioresource Technology, Carbohydrate Polymers and RSC Advances.

In The Last Decade

Victoria Rigual

24 papers receiving 859 citations

Hit Papers

Thermal stability of chol... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Victoria Rigual 483 333 153 118 88 26 872
Andrea Škulcová 349 0.7× 357 1.1× 119 0.8× 85 0.7× 99 1.1× 24 899
Belinda Soares 492 1.0× 258 0.8× 208 1.4× 46 0.4× 83 0.9× 17 912
Chandrakant Mukesh 305 0.6× 482 1.4× 299 2.0× 127 1.1× 81 0.9× 21 952
Narendra Kumar 456 0.9× 192 0.6× 158 1.0× 75 0.6× 50 0.6× 27 797
Girirajsinh C. Jadeja 451 0.9× 216 0.6× 72 0.5× 291 2.5× 68 0.8× 29 944
Pedro Verdía 409 0.8× 422 1.3× 87 0.6× 98 0.8× 78 0.9× 30 963
José González‐Rivera 238 0.5× 176 0.5× 132 0.9× 65 0.6× 64 0.7× 25 798
Mónica Ferro 226 0.5× 202 0.6× 185 1.2× 87 0.7× 46 0.5× 35 837
Eduarda S. Morais 308 0.6× 199 0.6× 186 1.2× 43 0.4× 51 0.6× 15 703
Xiaojie Yu 596 1.2× 107 0.3× 180 1.2× 113 1.0× 22 0.3× 29 960

Countries citing papers authored by Victoria Rigual

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Rigual

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victoria Rigual. 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 Victoria Rigual. The network helps show where Victoria Rigual may publish in the future.

Co-authorship network of co-authors of Victoria Rigual

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Rigual. A scholar is included among the top collaborators of Victoria Rigual 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 Victoria Rigual. Victoria Rigual 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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