Pedro Reimunde

462 total citations
12 papers, 336 citations indexed

About

Pedro Reimunde is a scholar working on Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Pedro Reimunde has authored 12 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pediatrics, Perinatology and Child Health, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Surgery. Recurrent topics in Pedro Reimunde's work include Growth Hormone and Insulin-like Growth Factors (3 papers), Childhood Cancer Survivors' Quality of Life (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Pedro Reimunde is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (3 papers), Childhood Cancer Survivors' Quality of Life (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Pedro Reimunde collaborates with scholars based in Spain, United States and Czechia. Pedro Reimunde's co-authors include Jesús Devesa, Pablo Devesa, Vı́ctor M. Arce, Ana Devesa, Rosalı́a Gallego, À. Otero, Javier Cudeiro, Rafael Martín Acero, Miguel Fernández‐del‐Olmo and Laura Sánchez and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Applied Physiology and Hormones and Behavior.

In The Last Decade

Pedro Reimunde

12 papers receiving 316 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pedro Reimunde Spain 9 128 55 53 42 42 12 336
Pınar Akpınar Türkiye 11 47 0.4× 34 0.6× 64 1.2× 101 2.4× 39 0.9× 44 634
Liqun Zhang China 13 36 0.3× 123 2.2× 24 0.5× 104 2.5× 25 0.6× 19 481
Xing Yu China 13 140 1.1× 22 0.4× 19 0.4× 103 2.5× 73 1.7× 36 659
Harald Stefanits Austria 12 26 0.2× 16 0.3× 57 1.1× 98 2.3× 24 0.6× 45 442
Nebras M. Warsi Canada 12 44 0.3× 51 0.9× 26 0.5× 21 0.5× 11 0.3× 28 348
Daniela Santapau Chile 10 29 0.2× 29 0.5× 28 0.5× 103 2.5× 12 0.3× 17 367
Aleksandra Glavaski‐Joksimovic United States 12 38 0.3× 104 1.9× 9 0.2× 125 3.0× 17 0.4× 16 488
Shinsaku Nishio Japan 13 24 0.2× 93 1.7× 33 0.6× 161 3.8× 11 0.3× 20 476
Francisco Santaolalla Spain 16 17 0.1× 15 0.3× 65 1.2× 116 2.8× 18 0.4× 47 584
Susumu Sasada Japan 10 72 0.6× 50 0.9× 6 0.1× 113 2.7× 12 0.3× 27 449

Countries citing papers authored by Pedro Reimunde

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Reimunde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Reimunde

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Reimunde. A scholar is included among the top collaborators of Pedro Reimunde 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 Pedro Reimunde. Pedro Reimunde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Reimunde, Pedro, et al.. (2021). Cellular and Molecular Mechanisms Underlying Glioblastoma and Zebrafish Models for the Discovery of New Treatments. Cancers. 13(5). 1087–1087. 18 indexed citations
2.
Reimunde, Pedro, et al.. (2021). Zebrafish Models for the Safety and Therapeutic Testing of Nanoparticles with a Focus on Macrophages. Nanomaterials. 11(7). 1784–1784. 24 indexed citations
3.
Reimunde, Pedro, et al.. (2018). Osteoporosis y cirugía de raquis: estrategias de tratamiento médico. SHILAP Revista de lepidopterología. 10(1). 41–54. 2 indexed citations
4.
Reimunde, Pedro, et al.. (2017). Mesenchymal/proangiogenic factor YKL-40 related to glioblastomas and its relationship with the subventricular zone. Folia Neuropathologica. 1(1). 14–22. 7 indexed citations
6.
Devesa, Jesús, et al.. (2012). Growth hormone (GH) and brain trauma. Hormones and Behavior. 63(2). 331–344. 62 indexed citations
8.
Devesa, Pablo, Pedro Reimunde, Rosalı́a Gallego, Jesús Devesa, & Vı́ctor M. Arce. (2011). Growth hormone (GH) treatment may cooperate with locally-produced GH in increasing the proliferative response of hippocampal progenitors to kainate-induced injury. Brain Injury. 25(5). 503–510. 45 indexed citations
10.
Devesa, Jesús, Pablo Devesa, & Pedro Reimunde. (2010). Hormona de crecimiento: acciones y aplicaciones preventivas y terapéuticas. Medicina Clínica. 135(14). 665–670. 20 indexed citations
11.
Devesa, Jesús, Pedro Reimunde, Ana Devesa, et al.. (2009). Recovery from neurological sequelae secondary to oncological brain surgery in an adult growth hormone-deficient patient after growth hormone treatment. Journal of Rehabilitation Medicine. 41(9). 775–777. 15 indexed citations
12.
Fernández‐del‐Olmo, Miguel, et al.. (2006). Chronic neural adaptation induced by long-term resistance training in humans. European Journal of Applied Physiology. 96(6). 722–728. 34 indexed citations

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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