Mireia Coma

3.3k total citations · 1 hit paper
39 papers, 2.7k citations indexed

About

Mireia Coma is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mireia Coma has authored 39 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Physiology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mireia Coma's work include Alzheimer's disease research and treatments (13 papers), Ion channel regulation and function (5 papers) and Prion Diseases and Protein Misfolding (4 papers). Mireia Coma is often cited by papers focused on Alzheimer's disease research and treatments (13 papers), Ion channel regulation and function (5 papers) and Prion Diseases and Protein Misfolding (4 papers). Mireia Coma collaborates with scholars based in Spain, United States and Switzerland. Mireia Coma's co-authors include Francesc X. Guix, Francisco J. Muñoz, Iris Uribesalgo, Teresa Gómez‐Isla, L Sereno, Alberto Lleó, Marta Rodrı́guez, Rashid Deane, David D. Perlmutter and Abhay P. Sagare and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Mireia Coma

39 papers receiving 2.6k citations

Hit Papers

The physiology and pathophysiology of nitric oxide in the... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mireia Coma Spain 22 1.4k 921 505 416 296 39 2.7k
Hilda Martínez‐Coria Mexico 22 1.2k 0.9× 1.0k 1.1× 785 1.6× 416 1.0× 443 1.5× 34 2.7k
Keun‐A Chang South Korea 27 1.0k 0.7× 957 1.0× 463 0.9× 469 1.1× 252 0.9× 74 2.4k
Michela Guglielmotto Italy 26 1.5k 1.1× 922 1.0× 347 0.7× 381 0.9× 511 1.7× 43 2.5k
Ana I. Duarte Portugal 31 1.1k 0.8× 1.2k 1.4× 567 1.1× 363 0.9× 236 0.8× 59 3.0k
Dan Liu China 31 1.2k 0.9× 1.7k 1.8× 633 1.3× 479 1.2× 235 0.8× 80 3.6k
Leon M. Tai United States 30 1.6k 1.2× 908 1.0× 457 0.9× 818 2.0× 260 0.9× 63 2.9k
Jacob M. Basak United States 12 1.5k 1.1× 771 0.8× 381 0.8× 569 1.4× 299 1.0× 14 2.3k
Cyntia Tremblay Canada 27 1.5k 1.1× 748 0.8× 584 1.2× 526 1.3× 173 0.6× 57 2.6k
Wesley Farris United States 10 1.9k 1.4× 987 1.1× 416 0.8× 414 1.0× 485 1.6× 11 2.7k
Yuemang Yao United States 25 982 0.7× 694 0.8× 372 0.7× 281 0.7× 527 1.8× 37 2.3k

Countries citing papers authored by Mireia Coma

Since Specialization
Citations

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

Fields of papers citing papers by Mireia Coma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mireia Coma

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

All Works

20 of 20 papers shown
5.
Fernández‐Carballido, Cristina, Carlos Sánchez‐Piedra, Fernando Sánchez‐Alonso, et al.. (2022). Female Sex, Age, and Unfavorable Response to Tumor Necrosis Factor Inhibitors in Patients With Axial Spondyloarthritis: Results of Statistical and Artificial Intelligence–Based Data Analyses of a National Multicenter Prospective Registry. Arthritis Care & Research. 75(1). 115–124. 11 indexed citations
6.
Lozano, Marı́a Luisa, Mireia Coma, María Román, et al.. (2021). Elucidating the Mechanism of Action of the Attributed Immunomodulatory Role of Eltrombopag in Primary Immune Thrombocytopenia: An In Silico Approach. International Journal of Molecular Sciences. 22(13). 6907–6907. 15 indexed citations
7.
Coma, Mireia, et al.. (2021). Application of systems biology-based in silico tools to optimize treatment strategy identification in Still’s disease. Arthritis Research & Therapy. 23(1). 126–126. 24 indexed citations
8.
Rodríguez-Fernández, Silvia, Irma Pujol‐Autonell, Eva Aguilera, et al.. (2020). Repurposed Analog of GLP-1 Ameliorates Hyperglycemia in Type 1 Diabetic Mice Through Pancreatic Cell Reprogramming. Frontiers in Endocrinology. 11. 258–258. 15 indexed citations
9.
Forés, Joaquím, Mireia Herrando‐Grabulosa, Elena Galea, et al.. (2018). Neuroprotective Drug for Nerve Trauma Revealed Using Artificial Intelligence. Scientific Reports. 8(1). 1879–1879. 51 indexed citations
10.
Herrando‐Grabulosa, Mireia, Roger Mulet‐Lazaro, José Manuel Mas, et al.. (2016). Novel Neuroprotective Multicomponent Therapy for Amyotrophic Lateral Sclerosis Designed by Networked Systems. PLoS ONE. 11(1). e0147626–e0147626. 25 indexed citations
11.
Coma, Mireia, et al.. (2014). Methods for diagnosing perceived age on the basis of an ensemble of phenotypic features. Clinical Cosmetic and Investigational Dermatology. 7. 133–133. 27 indexed citations
12.
Guix, Francesc X., Gerard ILL‐Raga, Tadashi Nakaya, et al.. (2009). Amyloid-dependent triosephosphate isomerase nitrotyrosination induces glycation and tau fibrillation. Brain. 132(5). 1335–1345. 87 indexed citations
13.
Sagare, Abhay P., Rashid Deane, Robert D. Bell, et al.. (2007). Clearance of amyloid-β by circulating lipoprotein receptors. Nature Medicine. 13(9). 1029–1031. 352 indexed citations
14.
Coma, Mireia, Francesc X. Guix, Gerard ILL‐Raga, et al.. (2007). Oxidative stress triggers the amyloidogenic pathway in human vascular smooth muscle cells. Neurobiology of Aging. 29(7). 969–980. 54 indexed citations
15.
Muñoz, Francisco J., Montserrat Solé, & Mireia Coma. (2006). The Protective Role of Vitamin E in Vascular Amyloid β-Mediated Damage. PubMed. 38. 147–165. 4 indexed citations
16.
Coma, Mireia, Rubén Vicente, Sı́lvia Busquets, et al.. (2003). Impaired voltage‐gated K+ channel expression in brain during experimental cancer cachexia. FEBS Letters. 536(1-3). 45–50. 18 indexed citations
17.
Grande, Maribel, Rubén Vicente, Carles Cantó, et al.. (2003). Voltage‐dependent K+ channel β subunits in muscle: Differential regulation during postnatal development and myogenesis. Journal of Cellular Physiology. 195(2). 187–193. 27 indexed citations
18.
Vicente, Rubén, Artur Escalada, Mireia Coma, et al.. (2003). Differential Voltage-dependent K+ Channel Responses during Proliferation and Activation in Macrophages. Journal of Biological Chemistry. 278(47). 46307–46320. 147 indexed citations
19.
Coma, Mireia, et al.. (2002). Different Kv2.1/Kv9.3 heteromer expression during brain and lung post-natal development in the rat. Journal of Physiology and Biochemistry. 58(4). 195–203. 7 indexed citations
20.
Fuster, Gemma, Rubén Vicente, Mireia Coma, Maribel Grande, & Antônio Felipe. (2002). One-step reverse transcription polymerase chain reaction forsemiquantitative analysis of mRNA expression. Methods and Findings in Experimental and Clinical Pharmacology. 24(5). 253–253. 18 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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