Isabel Pérez-Flores

36 total papers · 484 total citations
21 papers, 262 citations indexed

About

Isabel Pérez-Flores is a scholar working on Transplantation, Infectious Diseases and Surgery. According to data from OpenAlex, Isabel Pérez-Flores has authored 21 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Transplantation, 5 papers in Infectious Diseases and 5 papers in Surgery. Recurrent topics in Isabel Pérez-Flores's work include Renal Transplantation Outcomes and Treatments (14 papers), Neurological Complications and Syndromes (5 papers) and Cytomegalovirus and herpesvirus research (3 papers). Isabel Pérez-Flores is often cited by papers focused on Renal Transplantation Outcomes and Treatments (14 papers), Neurological Complications and Syndromes (5 papers) and Cytomegalovirus and herpesvirus research (3 papers). Isabel Pérez-Flores collaborates with scholars based in Spain and France. Isabel Pérez-Flores's co-authors include Ana Sánchez‐Fructuoso, A. Barrientos, Natalia Calvo, Rosalía Valero, Cristina Fernández, José Luis Santiago, Virginia de la Orden, M Heredia, Miguel Fernández‐Arquero and M. L. Maestro and has published in prestigious journals such as Frontiers in Immunology, Transplantation and American Journal of Transplantation.

In The Last Decade

Isabel Pérez-Flores

21 papers receiving 259 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 Pérez-Flores 111 76 66 65 42 21 262
Charlotte Colosio 108 1.0× 51 0.7× 49 0.7× 42 0.6× 38 0.9× 18 252
Hélène Longuet 128 1.2× 68 0.9× 51 0.8× 56 0.9× 28 0.7× 24 265
N. Ridao 70 0.6× 65 0.9× 62 0.9× 26 0.4× 37 0.9× 17 281
Somratai Vadcharavivad 144 1.3× 94 1.2× 51 0.8× 62 1.0× 17 0.4× 25 329
María Molina 57 0.5× 83 1.1× 93 1.4× 43 0.7× 25 0.6× 24 272
Angelito Yango 72 0.6× 47 0.6× 57 0.9× 58 0.9× 13 0.3× 16 255
Rouba Garro 96 0.9× 69 0.9× 56 0.8× 28 0.4× 14 0.3× 26 243
Mohammad Hassan Ghadiani 51 0.5× 42 0.6× 73 1.1× 49 0.8× 40 1.0× 25 326
Sarat Kuppachi 64 0.6× 61 0.8× 37 0.6× 48 0.7× 87 2.1× 30 253
B Huser 125 1.1× 68 0.9× 72 1.1× 19 0.3× 37 0.9× 22 308

Countries citing papers authored by Isabel Pérez-Flores

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Pérez-Flores

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Pérez-Flores

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