María Cárcel

422 total citations
8 papers, 64 citations indexed

About

María Cárcel is a scholar working on Neurology, Physiology and Neurology. According to data from OpenAlex, María Cárcel has authored 8 papers receiving a total of 64 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 3 papers in Physiology and 2 papers in Neurology. Recurrent topics in María Cárcel's work include Parkinson's Disease Mechanisms and Treatments (3 papers), Neurological diseases and metabolism (2 papers) and Alzheimer's disease research and treatments (2 papers). María Cárcel is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), Neurological diseases and metabolism (2 papers) and Alzheimer's disease research and treatments (2 papers). María Cárcel collaborates with scholars based in Spain, United States and Germany. María Cárcel's co-authors include Pau Pástor, Miquel Aguilar, Ignacio Álvarez, Mónica Díez-Fairén, Máximo Vento, Miguel Asensi, Rønnaug Solberg, Elena Cubells, Julia Kuligowski and Javier Escobar and has published in prestigious journals such as Analytica Chimica Acta, Neurobiology of Aging and Journal of Alzheimer s Disease.

In The Last Decade

María Cárcel

8 papers receiving 64 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
María Cárcel Spain	5	28	17	13	10	10	8	64
Lara Katzin United States	4	34 1.2×	13 0.8×	17 1.3×	12 1.2×	19 1.9×	4	85
Emily McKinley United States	4	17 0.6×	18 1.1×	9 0.7×	11 1.1×	7 0.7×	9	61
Marcel Lévy France	5	21 0.8×	23 1.4×	6 0.5×	9 0.9×	8 0.8×	8	104
Antonia Nucera Canada	4	45 1.6×	19 1.1×	9 0.7×	17 1.7×	6 0.6×	9	93
Andrew Frank Canada	4	36 1.3×	37 2.2×	18 1.4×	7 0.7×	8 0.8×	7	87
Feryal Saad Canada	6	29 1.0×	33 1.9×	40 3.1×	6 0.6×	4 0.4×	16	98
Svetlana Miletić Drakulić Serbia	6	15 0.5×	21 1.2×	22 1.7×	14 1.4×	9 0.9×	19	104
Shreyas Panchagnula United States	4	9 0.3×	8 0.5×	5 0.4×	6 0.6×	13 1.3×	4	51
Uduak Williams Nigeria	7	13 0.5×	8 0.5×	44 3.4×	22 2.2×	8 0.8×	12	107
Adeline Rollin France	3	30 1.1×	18 1.1×	10 0.8×	9 0.9×	6 0.6×	6	84

Countries citing papers authored by María Cárcel

Since Specialization

Citations

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

Fields of papers citing papers by María Cárcel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Cárcel

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

All Works

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8 of 8 papers shown

Iftimie, Simona, Ana F. López‐Azcona, Helena Castañé, et al.. (2024). Serum Levels of Arachidonic Acid, Interleukin-6, and C-Reactive Protein as Potential Indicators of Pulmonary Viral Infections: Comparative Analysis of Influenza A, Respiratory Syncytial Virus Infection, and COVID-19. Viruses. 16(7). 1065–1065. 1 indexed citations

Álvarez, Ignacio, Mónica Díez-Fairén, Miquel Aguilar, et al.. (2020). Added value of cerebrospinal fluid multimarker analysis in diagnosis and progression of dementia. European Journal of Neurology. 28(4). 1142–1152. 9 indexed citations

Díez-Fairén, Mónica, Bruno A. Benítez, Sara Ortega‐Cubero, et al.. (2018). Pooled-DNA target sequencing of Parkinson genes reveals novel phenotypic associations in Spanish population. Neurobiology of Aging. 70. 325.e1–325.e5. 3 indexed citations

Garcı́a-Martı́n, Elena, Mónica Díez-Fairén, Pau Pástor, et al.. (2018). Association between the missense alcohol dehydrogenase rs1229984T variant with the risk for Parkinson’s disease in women. Journal of Neurology. 266(2). 346–352. 11 indexed citations

Razquín, Cristina, Sara Ortega‐Cubero, Mónica Díez-Fairén, et al.. (2018). Target-enriched sequencing of chromosome 17q21.31 in sporadic tauopathies reveals no candidate variants. Neurobiology of Aging. 66. 177.e7–177.e10. 1 indexed citations

Álvarez, Ignacio, Miquel Aguilar, Carles Lorenzo‐Bosquet, et al.. (2017). Clinic-Based Validation of Cerebrospinal Fluid Biomarkers with Florbetapir PET for Diagnosis of Dementia. Journal of Alzheimer s Disease. 61(1). 135–143. 13 indexed citations

Cárcel, María, et al.. (2017). Microsatellite DNA markers applied to the classification of the Podenco Valenciano canine breed. Italian Journal of Animal Science. 17(1). 49–52. 4 indexed citations

Torres-Cuevas, Isabel, Julia Kuligowski, María Cárcel, et al.. (2016). Protein-bound tyrosine oxidation, nitration and chlorination by-products assessed by ultraperformance liquid chromatography coupled to tandem mass spectrometry. Analytica Chimica Acta. 913. 104–110. 22 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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