Laura Sánchez-Tejada

24 total papers · 494 total citations
11 papers, 377 citations indexed

About

Laura Sánchez-Tejada is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Laura Sánchez-Tejada has authored 11 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Laura Sánchez-Tejada's work include Pituitary Gland Disorders and Treatments (7 papers), Adrenal and Paraganglionic Tumors (4 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Laura Sánchez-Tejada is often cited by papers focused on Pituitary Gland Disorders and Treatments (7 papers), Adrenal and Paraganglionic Tumors (4 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Laura Sánchez-Tejada collaborates with scholars based in Spain and United States. Laura Sánchez-Tejada's co-authors include Gloria Peiró, Enrique Lerma, Encarna Adrover, Daniel Giner, Antonio Picó, Fernando Ortiz-Martínez, José Muñóz, B. Ojeda, Ariadna Tibau and Alberto Gallardo and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and British Journal of Cancer.

In The Last Decade

Laura Sánchez-Tejada

11 papers receiving 374 citations

Author Peers

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

Author Last Decade Papers Cites
Laura Sánchez-Tejada 162 155 140 93 73 11 377
Denghua Pan 150 0.9× 55 0.4× 93 0.7× 118 1.3× 24 0.3× 16 372
F. Worden 84 0.5× 105 0.7× 79 0.6× 135 1.5× 47 0.6× 11 390
C. S. Killian 115 0.7× 97 0.6× 58 0.4× 50 0.5× 37 0.5× 11 410
Danila Serpico 123 0.8× 78 0.5× 79 0.6× 132 1.4× 19 0.3× 9 403
Karin Weijers 72 0.4× 117 0.8× 223 1.6× 46 0.5× 19 0.3× 9 396
Lauren Shapiro 82 0.5× 79 0.5× 85 0.6× 54 0.6× 51 0.7× 11 404
Dao Doan 250 1.5× 179 1.2× 117 0.8× 67 0.7× 16 0.2× 11 437
Katrin Friedbichler 187 1.2× 158 1.0× 108 0.8× 65 0.7× 47 0.6× 13 412
Jessica Giorcelli 112 0.7× 99 0.6× 102 0.7× 167 1.8× 45 0.6× 16 426
Darla Landfair 240 1.5× 75 0.5× 106 0.8× 66 0.7× 20 0.3× 8 369

Countries citing papers authored by Laura Sánchez-Tejada

Since Specialization
Citations

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

Fields of papers citing papers by Laura Sánchez-Tejada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Sánchez-Tejada. 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 Laura Sánchez-Tejada. The network helps show where Laura Sánchez-Tejada may publish in the future.

Co-authorship network of co-authors of Laura Sánchez-Tejada

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Sánchez-Tejada. A scholar is included among the top collaborators of Laura Sánchez-Tejada 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 Laura Sánchez-Tejada. Laura Sánchez-Tejada 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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2026