Gema de Blas

57 total papers · 652 total citations
24 papers, 387 citations indexed

About

Gema de Blas is a scholar working on Surgery, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gema de Blas has authored 24 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 6 papers in Pathology and Forensic Medicine and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gema de Blas's work include Spinal Fractures and Fixation Techniques (9 papers), Intraoperative Neuromonitoring and Anesthetic Effects (7 papers) and Orthopedic Surgery and Rehabilitation (6 papers). Gema de Blas is often cited by papers focused on Spinal Fractures and Fixation Techniques (9 papers), Intraoperative Neuromonitoring and Anesthetic Effects (7 papers) and Orthopedic Surgery and Rehabilitation (6 papers). Gema de Blas collaborates with scholars based in Spain, United States and Cuba. Gema de Blas's co-authors include Domingo Ly‐Pen, Alberto Sánchez‐Olaso, José Luís Andreu, Isabel Millán, Jesús Burgos, Ignacio Regidor, I. Millán, Carlos Barrios, José M. Enríquez–Navascués and E. Vicente and has published in prestigious journals such as Spine, Clinical Neurophysiology and Journal of the Neurological Sciences.

In The Last Decade

Gema de Blas

23 papers receiving 370 citations

Author Peers

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

Author Last Decade Papers Cites
Gema de Blas 340 172 75 45 45 24 387
Toshiro Itsubo 340 1.0× 102 0.6× 102 1.4× 24 0.5× 56 1.2× 27 395
Karolina Saganiak 208 0.6× 88 0.5× 46 0.6× 16 0.4× 22 0.5× 14 356
T Nakagawa 83 0.2× 130 0.8× 38 0.5× 51 1.1× 38 0.8× 20 402
C. Zaccone 251 0.7× 178 1.0× 46 0.6× 25 0.6× 19 0.4× 18 356
Eftal Güdemez 325 1.0× 47 0.3× 20 0.3× 22 0.5× 57 1.3× 23 416
Swithin Song 174 0.5× 45 0.3× 63 0.8× 50 1.1× 24 0.5× 29 414
Khaled Meknas 199 0.6× 59 0.3× 17 0.2× 58 1.3× 113 2.5× 15 362
Erez Avisar 157 0.5× 57 0.3× 27 0.4× 18 0.4× 42 0.9× 22 409
Yasuo Inoue 114 0.3× 116 0.7× 28 0.4× 114 2.5× 12 0.3× 31 420
Naoko Onizuka 137 0.4× 85 0.5× 85 1.1× 49 1.1× 122 2.7× 25 431

Countries citing papers authored by Gema de Blas

Since Specialization
Citations

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

Fields of papers citing papers by Gema de Blas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gema de Blas. 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 Gema de Blas. The network helps show where Gema de Blas may publish in the future.

Co-authorship network of co-authors of Gema de Blas

This figure shows the co-authorship network connecting the top 25 collaborators of Gema de Blas. A scholar is included among the top collaborators of Gema de Blas 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 Gema de Blas. Gema de Blas 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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