Fátima Guerrero

35 total papers · 981 total citations
28 papers, 780 citations indexed

About

Fátima Guerrero is a scholar working on Nephrology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Fátima Guerrero has authored 28 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Nephrology, 9 papers in Molecular Biology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Fátima Guerrero's work include Parathyroid Disorders and Treatments (12 papers), Dialysis and Renal Disease Management (9 papers) and Vitamin D Research Studies (7 papers). Fátima Guerrero is often cited by papers focused on Parathyroid Disorders and Treatments (12 papers), Dialysis and Renal Disease Management (9 papers) and Vitamin D Research Studies (7 papers). Fátima Guerrero collaborates with scholars based in Spain, United States and Germany. Fátima Guerrero's co-authors include Mariano Rodríguez, José I. López, Escolástico Aguilera‐Tejero, Yolanda Almadén, Francisco J. Mendoza, Juan R. Muñoz‐Castañeda, María E. Rodríguez‐Ortiz, Julio M. Martínez‐Moreno, Addy Montes de and Carmen Pineda and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Fátima Guerrero

26 papers receiving 759 citations

Author Peers

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

Author Last Decade Papers Cites
Fátima Guerrero 496 229 204 162 158 28 780
Guerman Molostvov 582 1.2× 199 0.9× 207 1.0× 134 0.8× 254 1.6× 17 889
Pablo Román‐García 470 0.9× 146 0.6× 147 0.7× 138 0.9× 140 0.9× 19 697
Daniel Álvarez-Hernández 373 0.8× 126 0.6× 281 1.4× 223 1.4× 146 0.9× 20 798
Lucy Phillips 260 0.5× 106 0.5× 301 1.5× 86 0.5× 163 1.0× 23 753
Lucie Hénaut 400 0.8× 104 0.5× 254 1.2× 52 0.3× 84 0.5× 33 815
Rachel Kilav 580 1.2× 205 0.9× 340 1.7× 181 1.1× 245 1.6× 17 846
Kohei Satoh 511 1.0× 134 0.6× 162 0.8× 125 0.8× 272 1.7× 15 669
Amberly Brown 459 0.9× 240 1.0× 158 0.8× 308 1.9× 193 1.2× 16 902
Wenping Song 427 0.9× 190 0.8× 150 0.7× 95 0.6× 206 1.3× 14 620
Yuka Kinoshita 527 1.1× 147 0.6× 234 1.1× 114 0.7× 239 1.5× 44 843

Countries citing papers authored by Fátima Guerrero

Since Specialization
Citations

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

Fields of papers citing papers by Fátima Guerrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fátima Guerrero

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