Patricia Salgado

20 total papers · 818 total citations
11 papers, 178 citations indexed

About

Patricia Salgado is a scholar working on Pharmacology, Molecular Medicine and Nephrology. According to data from OpenAlex, Patricia Salgado has authored 11 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 5 papers in Molecular Medicine and 3 papers in Nephrology. Recurrent topics in Patricia Salgado's work include Antibiotic Resistance in Bacteria (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Chronic Kidney Disease and Diabetes (2 papers). Patricia Salgado is often cited by papers focused on Antibiotic Resistance in Bacteria (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Chronic Kidney Disease and Diabetes (2 papers). Patricia Salgado collaborates with scholars based in Spain, Brazil and Australia. Patricia Salgado's co-authors include Emilio Maseda, Soraya Rodrigues de Almeida Sanches, Marco Túlio Costa Diniz, Maria de Fátima Haueisen Sander Diniz, María-José Giménez, F. Gilsanz, Ana Cristina Simões e Silva, Alejandro Suárez-de-la-Rica, Jason A. Roberts and Guillermo Ruíz-Carrascoso and has published in prestigious journals such as Critical Care, Obesity Surgery and Journal of Pediatric Endocrinology and Metabolism.

In The Last Decade

Patricia Salgado

11 papers receiving 164 citations

Author Peers

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

Author Last Decade Papers Cites
Patricia Salgado 76 40 39 37 37 11 178
Cristina Tănăseanu 30 0.4× 81 2.0× 73 1.9× 24 0.6× 19 0.5× 11 257
Francesca Cancelli 15 0.2× 63 1.6× 74 1.9× 101 2.7× 13 0.4× 20 254
Juan Carlos Ramos Ramos 19 0.3× 68 1.7× 25 0.6× 23 0.6× 11 0.3× 15 144
Serda Gülsün 35 0.5× 13 0.3× 9 0.2× 29 0.8× 7 0.2× 16 207
Pamela Hartman 21 0.3× 14 0.3× 23 0.6× 61 1.6× 62 1.7× 11 222
Aurélie Snauwaert 112 1.5× 13 0.3× 31 0.8× 57 1.5× 13 0.4× 18 292
Way Huey 34 0.4× 22 0.6× 24 0.6× 26 0.7× 22 0.6× 8 280
Dagmara I. Moscoso 56 0.7× 20 0.5× 7 0.2× 92 2.5× 43 1.2× 9 266
Caroline Nguyen 41 0.5× 28 0.7× 19 0.5× 24 0.6× 39 1.1× 10 183
Abiodun Adefurin 36 0.5× 16 0.4× 62 1.6× 43 1.2× 16 0.4× 10 291

Countries citing papers authored by Patricia Salgado

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Salgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Salgado

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