Sofía Laguarta-Val

24 papers receiving 264 citations

Peers

Sofía Laguarta-Val
Comparison fields: 5 of 67
  • Complementary and Manual Therapy 16
  • Orthopedics and Sports Medicine 41
  • Cell Biology 69
  • Pharmacology 63
  • Physical Therapy, Sports Therapy and Rehabilitation 14
Replace Letizia Pezzi with:
Letizia Pezzi Italy
Pablo Fanlo-Mazas Spain
John S Halle United States
Karolina Walewicz Poland
David Berbrayer Canada
Fariba Eslamian Iran
Daniella Araújo de Oliveira Brazil
Joseph P. Kelly United States
Lucrezia Tognolo Italy
Alfonso Javier Ibáñez‐Vera Spain
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Citations per year

Countries citing papers authored by Sofía Laguarta-Val

Since Specialization
Citations

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

Fields of papers citing papers by Sofía Laguarta-Val

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofía Laguarta-Val. 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 Sofía Laguarta-Val. The network helps show where Sofía Laguarta-Val may publish in the future.

Co-authors

The 25 scholars most cited alongside Sofía Laguarta-Val, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sofía Laguarta-Val Line = papers co-authored together Sofía Laguarta-Val links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202036
2 201133
3 201922
4 201422
5 202019
6 201419
7 202416
8 201113
9 202113
10 202311
11 202210
12 202410
13
[Reliability and concurrent validity of the app Goniometer Pro vs Universal Goniometer in the determination of passive knee flexion].
201910
14 201210
15 20225
16 20234
17 20184
18 20124
19 20212
20 20242

About Sofía Laguarta-Val

Sofía Laguarta-Val is a scholar working on Pharmacology, Neurology, Surgery, Rehabilitation and Cell Biology, having authored 30 papers that have together received 269 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (9 papers), Long-Term Effects of COVID-19 (7 papers), Myofascial pain diagnosis and treatment (5 papers), Stroke Rehabilitation and Recovery (4 papers), Peripheral Nerve Disorders (4 papers), Orthopedic Surgery and Rehabilitation (3 papers), Cerebral Palsy and Movement Disorders (3 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Complementary and Manual Therapy (16 citations), Orthopedics and Sports Medicine (41 citations), Cell Biology (69 citations), Pharmacology (63 citations) and Physical Therapy, Sports Therapy and Rehabilitation (14 citations). Sofía Laguarta-Val has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include César Fernández‐de‐las‐Peñas, Roberto Cano‐de‐la‐Cuerda, David Varillas‐Delgado, Josué Fernández‐Carnero, Ana I. de‐la‐Llave‐Rincón, César Calvo‐Lobo, Ricardo Ortega‐Santiago, Francisco Molina‐Rueda, Cristina Alonso‐Blanco and Lars Arendt‐Nielsen. Their work appears in journals such as Journal of Clinical Medicine, International Journal of Molecular Sciences, Clinical Journal of Pain, Pain Medicine and Journal of Personalized Medicine.

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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