Pablo Resa

29 total papers · 437 total citations
25 papers, 317 citations indexed

About

Pablo Resa is a scholar working on Biomedical Engineering, Nutrition and Dietetics and Biotechnology. According to data from OpenAlex, Pablo Resa has authored 25 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 7 papers in Nutrition and Dietetics and 7 papers in Biotechnology. Recurrent topics in Pablo Resa's work include Food composition and properties (6 papers), Acoustic Wave Resonator Technologies (5 papers) and Advanced Chemical Sensor Technologies (5 papers). Pablo Resa is often cited by papers focused on Food composition and properties (6 papers), Acoustic Wave Resonator Technologies (5 papers) and Advanced Chemical Sensor Technologies (5 papers). Pablo Resa collaborates with scholars based in Spain, Ireland and Argentina. Pablo Resa's co-authors include Luis Elvira, F. Montero de Espinosa, Vitaly Buckin, Carles Sierra, Pedro Humberto Castro, Ramón González, Tomás Bolumar, Gaspar Pérez-Martı́nez, José Ramón Iglesias and Cristina Aparicio and has published in prestigious journals such as Analytical Biochemistry, Chemical Physics Letters and Applied Microbiology and Biotechnology.

In The Last Decade

Pablo Resa

25 papers receiving 301 citations

Author Peers

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

Author Last Decade Papers Cites
Pablo Resa 166 112 69 55 37 25 317
Laura Alessandrini 74 0.4× 75 0.7× 87 1.3× 16 0.3× 98 2.6× 21 354
A C Jason 103 0.6× 18 0.2× 51 0.7× 23 0.4× 34 0.9× 21 341
Murielle Hayert 53 0.3× 18 0.2× 111 1.6× 79 1.4× 55 1.5× 19 340
W. Bögl 46 0.3× 29 0.3× 188 2.7× 50 0.9× 25 0.7× 22 328
Ludger Figura 39 0.2× 26 0.2× 151 2.2× 17 0.3× 20 0.5× 10 299
Daitaro Ishikawa 84 0.5× 165 1.5× 46 0.7× 14 0.3× 42 1.1× 50 353
Peter Kaul 142 0.9× 74 0.7× 25 0.4× 21 0.4× 53 1.4× 40 316
Robert J Steele 25 0.2× 27 0.2× 193 2.8× 37 0.7× 25 0.7× 17 360
Gary Tucker 62 0.4× 16 0.1× 164 2.4× 119 2.2× 31 0.8× 23 351
Peter Cornelis 195 1.2× 114 1.0× 20 0.3× 9 0.2× 72 1.9× 19 333

Countries citing papers authored by Pablo Resa

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Resa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Resa

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