Miguel Paja

56 total papers · 647 total citations
21 papers, 303 citations indexed

About

Miguel Paja is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Nephrology. According to data from OpenAlex, Miguel Paja has authored 21 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Surgery and 5 papers in Nephrology. Recurrent topics in Miguel Paja's work include Thyroid Cancer Diagnosis and Treatment (9 papers), Pituitary Gland Disorders and Treatments (9 papers) and Adrenal and Paraganglionic Tumors (6 papers). Miguel Paja is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (9 papers), Pituitary Gland Disorders and Treatments (9 papers) and Adrenal and Paraganglionic Tumors (6 papers). Miguel Paja collaborates with scholars based in Spain. Miguel Paja's co-authors include Javier Solis Estrada, T. Lucas, José García-Uría, José I. López, Rosa Zabala, J.L. del Cura Rodríguez, Laura Oleaga, Santiago Ramón y Cajal, Cristina Álvarez‐Escolá and Alejandro Castro and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Pathology and Clinical Endocrinology.

In The Last Decade

Miguel Paja

20 papers receiving 297 citations

Author Peers

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

Author Last Decade Papers Cites
Miguel Paja 228 136 46 29 26 21 303
Mirsala Solak 157 0.7× 129 0.9× 30 0.7× 8 0.3× 33 1.3× 25 289
Iraklis Vainas 229 1.0× 138 1.0× 44 1.0× 11 0.4× 89 3.4× 18 336
A Lyons 151 0.7× 56 0.4× 42 0.9× 8 0.3× 43 1.7× 15 281
Maria Albuja‐Cruz 192 0.8× 218 1.6× 36 0.8× 15 0.5× 23 0.9× 17 298
Joonyub Lee 137 0.6× 53 0.4× 61 1.3× 28 1.0× 68 2.6× 23 341
Georgios Karagiannis 116 0.5× 77 0.6× 18 0.4× 31 1.1× 23 0.9× 17 353
Ihn Ho Cho 110 0.5× 171 1.3× 42 0.9× 127 4.4× 28 1.1× 29 366
Rosália do Prado Padovani 276 1.2× 150 1.1× 36 0.8× 69 2.4× 30 1.2× 26 340
Waiel Bashari 199 0.9× 142 1.0× 76 1.7× 26 0.9× 55 2.1× 23 249
Jeena Varghese 167 0.7× 203 1.5× 49 1.1× 13 0.4× 24 0.9× 33 305

Countries citing papers authored by Miguel Paja

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Paja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Paja

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