Isabel Beneyto

65 total papers · 1.1k total citations
25 papers, 162 citations indexed

About

Isabel Beneyto is a scholar working on Transplantation, Oncology and Epidemiology. According to data from OpenAlex, Isabel Beneyto has authored 25 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Transplantation, 6 papers in Oncology and 6 papers in Epidemiology. Recurrent topics in Isabel Beneyto's work include Renal Transplantation Outcomes and Treatments (12 papers), Polyomavirus and related diseases (5 papers) and Archaeological and Historical Studies (4 papers). Isabel Beneyto is often cited by papers focused on Renal Transplantation Outcomes and Treatments (12 papers), Polyomavirus and related diseases (5 papers) and Archaeological and Historical Studies (4 papers). Isabel Beneyto collaborates with scholars based in Spain, Poland and Egypt. Isabel Beneyto's co-authors include David Ramos, I. Zamora, Francisco Vera‐Sempere, Juan Carlos Ruiz, Jaime Sánchez‐Plumed, Luis Rubio, Amado Andrés, M. Rengel, Mario Fernández‐Ruiz and David Navarro and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Transplantation and Journal of Clinical Medicine.

In The Last Decade

Isabel Beneyto

20 papers receiving 159 citations

Author Peers

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

Author Last Decade Papers Cites
Isabel Beneyto 67 48 47 36 30 25 162
Romina A. Danguilan 135 2.0× 88 1.8× 46 1.0× 56 1.6× 22 0.7× 20 235
Sarat Kuppachi 64 1.0× 36 0.8× 87 1.9× 37 1.0× 48 1.6× 30 253
Dominika Dęborska−Materkowska 36 0.5× 81 1.7× 43 0.9× 30 0.8× 87 2.9× 34 247
Samir J. Patel 170 2.5× 40 0.8× 98 2.1× 97 2.7× 60 2.0× 21 285
Ayman Al Jurdi 47 0.7× 25 0.5× 36 0.8× 39 1.1× 140 4.7× 29 237
Isa Ashoor 101 1.5× 43 0.9× 15 0.3× 55 1.5× 24 0.8× 25 203
S Aguado 25 0.4× 60 1.3× 23 0.5× 24 0.7× 12 0.4× 17 219
Shehzad Rehman 153 2.3× 26 0.5× 29 0.6× 85 2.4× 13 0.4× 16 200
M. S. A. Kumar 167 2.5× 63 1.3× 31 0.7× 127 3.5× 14 0.5× 29 266
Aneesha Shetty 43 0.6× 37 0.8× 20 0.4× 25 0.7× 49 1.6× 17 224

Countries citing papers authored by Isabel Beneyto

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Beneyto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Beneyto

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