Marı́a A. Pajares

4.2k total citations
98 papers, 3.4k citations indexed

About

Marı́a A. Pajares is a scholar working on Molecular Biology, Rheumatology and Biochemistry. According to data from OpenAlex, Marı́a A. Pajares has authored 98 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 53 papers in Rheumatology and 24 papers in Biochemistry. Recurrent topics in Marı́a A. Pajares's work include Folate and B Vitamins Research (53 papers), Metabolism and Genetic Disorders (22 papers) and Sulfur Compounds in Biology (16 papers). Marı́a A. Pajares is often cited by papers focused on Folate and B Vitamins Research (53 papers), Metabolism and Genetic Disorders (22 papers) and Sulfur Compounds in Biology (16 papers). Marı́a A. Pajares collaborates with scholars based in Spain, United States and Puerto Rico. Marı́a A. Pajares's co-authors include José M. Mato, Luis Álvarez, Dolores Pérez‐Sala, P. Ortiz, Fernando J. Corrales, George D. Markham, Jesús Mingorance, Marı́a Gasset, Ma Carmen Durán-Ruiz and J. Sanz‐Aparicio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Marı́a A. Pajares

96 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marı́a A. Pajares Spain 33 1.9k 1.4k 565 466 390 98 3.4k
Timothy A. Garrow United States 32 1.4k 0.7× 2.1k 1.5× 332 0.6× 763 1.6× 312 0.8× 78 3.3k
Willy Stalmans Belgium 43 3.7k 1.9× 1.4k 1.0× 338 0.6× 475 1.0× 313 0.8× 123 6.1k
Maria Veiga‐da‐Cunha Belgium 38 2.1k 1.1× 666 0.5× 542 1.0× 551 1.2× 160 0.4× 82 3.7k
Pamela M. Martin United States 40 2.7k 1.4× 200 0.1× 406 0.7× 300 0.6× 271 0.7× 95 4.7k
Marica Bakovic Canada 30 1.5k 0.8× 157 0.1× 383 0.7× 318 0.7× 424 1.1× 95 2.9k
Vito Iacobazzi Italy 39 3.6k 1.8× 164 0.1× 557 1.0× 1.5k 3.2× 390 1.0× 80 5.0k
Tsugikazu Komoda Japan 28 1.1k 0.6× 240 0.2× 157 0.3× 106 0.2× 263 0.7× 123 2.6k
James Ashmore United States 30 1.5k 0.8× 297 0.2× 385 0.7× 366 0.8× 308 0.8× 128 3.3k
Suresh S. Tate United States 30 1.5k 0.8× 120 0.1× 1.6k 2.8× 303 0.7× 290 0.7× 61 3.2k
Takahito Kondo Japan 30 1.4k 0.7× 103 0.1× 542 1.0× 224 0.5× 146 0.4× 120 3.2k

Countries citing papers authored by Marı́a A. Pajares

Since Specialization
Citations

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

Fields of papers citing papers by Marı́a A. Pajares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marı́a A. Pajares. 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 Marı́a A. Pajares. The network helps show where Marı́a A. Pajares may publish in the future.

Co-authorship network of co-authors of Marı́a A. Pajares

This figure shows the co-authorship network connecting the top 25 collaborators of Marı́a A. Pajares. A scholar is included among the top collaborators of Marı́a A. Pajares 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 Marı́a A. Pajares. Marı́a A. Pajares 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
1.
Pajares, Marı́a A. & Dolores Pérez‐Sala. (2024). Type III intermediate filaments in redox interplay: key role of the conserved cysteine residue. Biochemical Society Transactions. 52(2). 849–860. 1 indexed citations
2.
Canals, Isaac, Efraín Cepeda-Prado, Leal Oburoglu, et al.. (2023). Astrocyte dysfunction and neuronal network hyperactivity in a CRISPR engineered pluripotent stem cell model of frontotemporal dementia. Brain Communications. 5(3). fcad158–fcad158. 6 indexed citations
3.
4.
Lalioti, Vasiliki, et al.. (2022). Cell surface detection of vimentin, ACE2 and SARS-CoV-2 Spike proteins reveals selective colocalization at primary cilia. Scientific Reports. 12(1). 7063–7063. 22 indexed citations
5.
Viedma-Poyatos, Álvaro, et al.. (2022). Alexander disease GFAP R239C mutant shows increased susceptibility to lipoxidation and elicits mitochondrial dysfunction and oxidative stress. Redox Biology. 55. 102415–102415. 16 indexed citations
6.
Pajares, Marı́a A., et al.. (2021). Molecular Insight into the Regulation of Vimentin by Cysteine Modifications and Zinc Binding. Antioxidants. 10(7). 1039–1039. 11 indexed citations
7.
Viedma-Poyatos, Álvaro, et al.. (2019). Vimentin filaments interact with the actin cortex in mitosis allowing normal cell division. Nature Communications. 10(1). 4200–4200. 85 indexed citations
8.
Garcı́a-Martı́n, Elena, Francisco J. Sánchez-Gómez, Pedro Ayuso, et al.. (2018). Asthma and allergic rhinitis associate with thers2229542variant that induces a p.Lys90Glu mutation and compromises AKR1B1 protein levels. Human Mutation. 39(8). 1081–1091. 4 indexed citations
9.
Pérez‐Miguelsanz, Juliana, et al.. (2017). Betaine homocysteine S-methyltransferase emerges as a new player of the nuclear methionine cycle. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1864(7). 1165–1182. 36 indexed citations
10.
Murillo‐Cuesta, Silvia, et al.. (2016). Long-Term Dietary Folate Deficiency Accelerates Progressive Hearing Loss on CBA/Ca Mice. Frontiers in Aging Neuroscience. 8. 209–209. 13 indexed citations
11.
Pajares, Marı́a A.. (2016). The new levels of redox regulation of S-adenosylmethionine synthesis. Anales de la Real Academia Nacional de Farmacia. 231–246. 1 indexed citations
12.
Pérez‐Miguelsanz, Juliana, et al.. (2013). Acute Liver Injury Induces Nucleocytoplasmic Redistribution of Hepatic Methionine Metabolism Enzymes. Antioxidants and Redox Signaling. 20(16). 2541–2554. 16 indexed citations
13.
González‐Iglesias, Reinerio, Marı́a A. Pajares, Carmen Ocal, et al.. (2002). Prion Protein Interaction with Glycosaminoglycan Occurs with the Formation of Oligomeric Complexes Stabilized by Cu(II) Bridges. Journal of Molecular Biology. 319(2). 527–540. 69 indexed citations
14.
Pérez‐Pertejo, Yolanda, et al.. (2002). Leishmania donovani methionine adenosyltransferase. European Journal of Biochemistry. 270(1). 28–35. 19 indexed citations
15.
González, Beatriz, Marı́a A. Pajares, J.A. Hermoso, et al.. (2000). The crystal structure of tetrameric methionine adenosyltransferase from rat liver reveals the methionine-binding site 1 1Edited by R. Huber. Journal of Molecular Biology. 300(2). 363–375. 66 indexed citations
16.
Gutiérrez‐Gil, Beatriz, Marı́a A. Pajares, José M. Mato, & Luis Álvarez. (1997). Glucocorticoid Regulation of HepaticS-Adenosylmethionine Synthetase Gene Expression1. Endocrinology. 138(3). 1251–1258. 47 indexed citations
17.
Mato, José M., et al.. (1994). S-Adenosyl-L-Methionine Synthetase and Methionine Metabolism Deficiencies in Cirrhosis. Advances in experimental medicine and biology. 368. 113–117. 21 indexed citations
18.
Álvarez, Luis, Miryam Asunción, Fernando J. Corrales, Marı́a A. Pajares, & José M. Mato. (1991). Analysis of the 5′ non‐coding region of rat liver S‐adenosylmethionine synthetase mRNA and comparison of the Mr deduced from the cDNA sequence and the purified enzyme. FEBS Letters. 290(1-2). 142–146. 47 indexed citations
19.
Villalba, Mayte, et al.. (1987). Protein kinase C catalyses the phosphorylation and activation of rat liver phospholipid methyltransferase. Biochemical Journal. 241(3). 911–916. 31 indexed citations
20.
Mato, José M., Marı́a A. Pajares, & Isabel Varela‐Nieto. (1984). How many phospholipid methyltransferases are there in mammalian cells?. Trends in Biochemical Sciences. 9(11). 471–472. 14 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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