Silvia Ambite‐Quesada

1.2k total citations
38 papers, 558 citations indexed

About

Silvia Ambite‐Quesada is a scholar working on Psychiatry and Mental health, Pharmacology and Cell Biology. According to data from OpenAlex, Silvia Ambite‐Quesada has authored 38 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Psychiatry and Mental health, 12 papers in Pharmacology and 11 papers in Cell Biology. Recurrent topics in Silvia Ambite‐Quesada's work include Musculoskeletal pain and rehabilitation (12 papers), Myofascial pain diagnosis and treatment (11 papers) and Long-Term Effects of COVID-19 (8 papers). Silvia Ambite‐Quesada is often cited by papers focused on Musculoskeletal pain and rehabilitation (12 papers), Myofascial pain diagnosis and treatment (11 papers) and Long-Term Effects of COVID-19 (8 papers). Silvia Ambite‐Quesada collaborates with scholars based in Spain, Denmark and United States. Silvia Ambite‐Quesada's co-authors include César Fernández‐de‐las‐Peñas, Ricardo Ortega‐Santiago, Ana I. de‐la‐Llave‐Rincón, Lars Arendt‐Nielsen, Daniel Martín Fernández‐Mayoralas, Juan A. Pareja, Manuel Arroyo‐Morales, Margarita Cigarán‐Méndez, María Palacios‐Ceña and Valentín Hernández‐Barrera and has published in prestigious journals such as PLoS ONE, PEDIATRICS and Scientific Reports.

In The Last Decade

Silvia Ambite‐Quesada

34 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Silvia Ambite‐Quesada Spain	15	190	152	129	120	93	38	558
Lin Tchia Yeng Brazil	15	99 0.5×	153 1.0×	258 2.0×	358 3.0×	131 1.4×	69	917
Margarita Cigarán‐Méndez Spain	13	233 1.2×	258 1.7×	114 0.9×	73 0.6×	40 0.4×	41	645
Ömer Karadaş Türkiye	15	401 2.1×	249 1.6×	30 0.2×	206 1.7×	124 1.3×	68	790
Richard Burnet Australia	14	333 1.8×	113 0.7×	112 0.9×	103 0.9×	63 0.7×	18	721
Helena Hideko Seguchi Kaziyama Brazil	12	197 1.0×	54 0.4×	262 2.0×	241 2.0×	78 0.8×	29	627
Greg Goddard United States	15	84 0.4×	271 1.8×	194 1.5×	302 2.5×	69 0.7×	36	960
Andrea L. Nicol United States	10	171 0.9×	26 0.2×	195 1.5×	122 1.0×	145 1.6×	16	538
Ayşen Yücel Türkiye	12	131 0.7×	174 1.1×	212 1.6×	323 2.7×	204 2.2×	17	705
Didier Bouhassira France	15	191 1.0×	170 1.1×	299 2.3×	486 4.0×	140 1.5×	32	930
Duck Mi Yoon South Korea	15	116 0.6×	84 0.6×	243 1.9×	180 1.5×	249 2.7×	70	655

Countries citing papers authored by Silvia Ambite‐Quesada

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Ambite‐Quesada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Ambite‐Quesada. 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 Silvia Ambite‐Quesada. The network helps show where Silvia Ambite‐Quesada may publish in the future.

Co-authorship network of co-authors of Silvia Ambite‐Quesada

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fernández‐de‐las‐Peñas, César, Gema Dı́az-Gil, Silvia Ambite‐Quesada, et al.. (2024). Inflammatory Polymorphisms (IL-6 rs1800796, IL-10 rs1800896, TNF-α rs1800629, and IFITM3 rs12252) Are Not Associated with Post-COVID Symptoms in Previously Hospitalized COVID-19 Survivors. Viruses. 16(2). 275–275. 3 indexed citations

Fernández‐de‐las‐Peñas, César, Gema Dı́az-Gil, Silvia Ambite‐Quesada, et al.. (2024). DNA Methylation Levels of the ACE2 Promoter Are Not Associated with Post-COVID-19 Symptoms in Individuals Who Had Been Hospitalized Due to COVID-19. Microorganisms. 12(7). 1304–1304.

de‐la‐Llave‐Rincón, Ana I., et al.. (2024). Effects of Executive Functions and Cognitive Variables in Experimentally Induced Acute Pain Perception during a Distraction Task: A Study on Asymptomatic Pain-Free Individuals. Life. 14(9). 1141–1141. 1 indexed citations

Fernández‐de‐las‐Peñas, César, Lars Arendt‐Nielsen, Gema Dı́az-Gil, et al.. (2023). Apolipoprotein E (ApoE) ε4 Genotype (ApoE rs429358—ApoE rs7412 Polymorphisms) Is Not Associated with Long COVID Symptoms in Previously Hospitalized COVID-19 Survivors. Genes. 14(7). 1420–1420. 6 indexed citations

Florêncio, Lidiane Lima, María Palacios‐Ceña, Stella Fuensalida‐Novo, et al.. (2023). Multidimensional evaluation of the pain profile as prognostic factor in individuals with hip or knee osteoarthritis receiving total joint replacement: protocol of a 2-year longitudinal prognostic cohort study. BMJ Open. 13(1). e066745–e066745.

Fernández‐de‐las‐Peñas, César, Lars Arendt‐Nielsen, Gema Dı́az-Gil, et al.. (2022). Genetic Association between ACE2 (rs2285666 and rs2074192) and TMPRSS2 (rs12329760 and rs2070788) Polymorphisms with Post-COVID Symptoms in Previously Hospitalized COVID-19 Survivors. Genes. 13(11). 1935–1935. 22 indexed citations

Fernández‐de‐las‐Peñas, César, Rocco Giordano, Gema Dı́az-Gil, et al.. (2022). Post-COVID Pain Is Not Associated with Inflammatory Polymorphisms in People Who Had Been Hospitalized by COVID-19. Journal of Clinical Medicine. 11(19). 5645–5645. 8 indexed citations

Fernández‐de‐las‐Peñas, César, et al.. (2022). Are Pain Polymorphisms Associated with the Risk and Phenotype of Post-COVID Pain in Previously Hospitalized COVID-19 Survivors?. Genes. 13(8). 1336–1336. 8 indexed citations

Fernández‐de‐las‐Peñas, César, Silvia Ambite‐Quesada, Homid Fahandezh-Saddi Díaz, et al.. (2018). The Val158Met polymorphism of the catechol-O-methyltransference gene is not associated with long-term treatment outcomes in carpal tunnel syndrome: A randomized clinical trial. PLoS ONE. 13(10). e0205516–e0205516. 5 indexed citations

10.

Ambite‐Quesada, Silvia, José L. Arias‐Buría, Carol A. Courtney, Lars Arendt‐Nielsen, & César Fernández‐de‐las‐Peñas. (2017). Exploration of Quantitative Sensory Testing in Latent Trigger Points and Referred Pain Areas. Clinical Journal of Pain. 34(5). 409–414. 10 indexed citations

11.

Fernández‐de‐las‐Peñas, César, et al.. (2016). Identification of Subgroups of Women with Carpal Tunnel Syndrome with Central Sensitization. Pain Medicine. 17(9). 1749–1756. 16 indexed citations

12.

Fernández‐de‐las‐Peñas, César, Juan José Fernández-Muñóz, María Palacios‐Ceña, et al.. (2015). Direct and Indirect Effects of Function in Associated Variables Such as Depression and Severity on Pain Intensity in Women with Carpal Tunnel Syndrome. Pain Medicine. 16(12). 2405–2411. 16 indexed citations

13.

de‐la‐Llave‐Rincón, Ana I., et al.. (2012). Myofascial Trigger Points in the Masticatory Muscles in Patients With and Without Chronic Mechanical Neck Pain. Journal of Manipulative and Physiological Therapeutics. 35(9). 678–684. 17 indexed citations

14.

de‐la‐Llave‐Rincón, Ana I., Ricardo Ortega‐Santiago, Silvia Ambite‐Quesada, et al.. (2012). Response of Pain Intensity to Soft Tissue Mobilization and Neurodynamic Technique: A Series of 18 Patients With Chronic Carpal Tunnel Syndrome. Journal of Manipulative and Physiological Therapeutics. 35(6). 420–427. 42 indexed citations

15.

Fernández‐de‐las‐Peñas, César, et al.. (2012). Catechol-O-Methyltransferase Val158Met Polymorphism Influences Anxiety, Depression, and Disability, but not Pressure Pain Sensitivity, in Women With Fibromyalgia Syndrome. Journal of Pain. 13(11). 1068–1074. 35 indexed citations

16.

Ambite‐Quesada, Silvia, et al.. (2011). Salivary cortisol and melatonin levels in children with frequent episodic tension‐type headache do not differ from healthy children. Acta Paediatrica. 100(11). e198–202. 7 indexed citations

17.

Fernández‐de‐las‐Peñas, César, Carolina Fernández‐Lao, Irene Cantarero‐Villanueva, et al.. (2011). Catechol-O-methyltransferase genotype (Val158met) modulates cancer-related fatigue and pain sensitivity in breast cancer survivors. Breast Cancer Research and Treatment. 133(2). 405–412. 43 indexed citations

18.

Fernández‐de‐las‐Peñas, César, Irene Cantarero‐Villanueva, Carolina Fernández‐Lao, et al.. (2011). Influence of catechol-o-methyltransferase genotype (Val158Met) on endocrine, sympathetic nervous and mucosal immune systems in breast cancer survivors. The Breast. 21(2). 199–203. 14 indexed citations

19.

Fernández‐de‐las‐Peñas, César, Silvia Ambite‐Quesada, Ricardo Ortega‐Santiago, et al.. (2011). Genetic Contribution of Catechol-O-Methyltransferase Polymorphism (Val158Met) in Children With Chronic Tension-Type Headache. Pediatric Research. 70(4). 395–399. 16 indexed citations

20.

Fernández‐de‐las‐Peñas, César, Ricardo Ortega‐Santiago, Silvia Ambite‐Quesada, et al.. (2010). Specific Mechanical Pain Hypersensitivity Over Peripheral Nerve Trunks in Women With Either Unilateral Epicondylalgia or Carpal Tunnel Syndrome. Journal of Orthopaedic and Sports Physical Therapy. 40(11). 751–760. 35 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.

Explore authors with similar magnitude of impact