Maite Jiménez-Vidal

782 total citations
9 papers, 581 citations indexed

About

Maite Jiménez-Vidal is a scholar working on Biochemistry, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Maite Jiménez-Vidal has authored 9 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biochemistry, 4 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Maite Jiménez-Vidal's work include Amino Acid Enzymes and Metabolism (6 papers), Biomedical Research and Pathophysiology (3 papers) and Photoreceptor and optogenetics research (2 papers). Maite Jiménez-Vidal is often cited by papers focused on Amino Acid Enzymes and Metabolism (6 papers), Biomedical Research and Pathophysiology (3 papers) and Photoreceptor and optogenetics research (2 papers). Maite Jiménez-Vidal collaborates with scholars based in Spain, United States and Italy. Maite Jiménez-Vidal's co-authors include António Zorzano, Manuel Palacı́n, Juan J. Chillarón, Virginia Nunes, Diane L. Barber, Bree K. Grillo‐Hill, Changhoon Choi, Leopoldo Zelante, Mariona Font-Llitjós and Marta Pineda and has published in prestigious journals such as Journal of Biological Chemistry, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

Maite Jiménez-Vidal

9 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maite Jiménez-Vidal Spain 9 293 230 141 124 122 9 581
Mariona Font-Llitjós Spain 11 303 1.0× 152 0.7× 143 1.0× 168 1.4× 160 1.3× 11 554
F.W. Verheijen Netherlands 19 71 0.2× 391 1.7× 162 1.1× 72 0.6× 17 0.1× 30 878
Clare Beesley United Kingdom 17 83 0.3× 288 1.3× 59 0.4× 189 1.5× 22 0.2× 29 980
Shlomo Almashanu Israel 16 88 0.3× 390 1.7× 15 0.1× 271 2.2× 131 1.1× 45 838
Aleš Hnı́zda Czechia 17 71 0.2× 400 1.7× 22 0.2× 52 0.4× 24 0.2× 31 637
Paula Boerner United States 11 192 0.7× 272 1.2× 21 0.1× 95 0.8× 22 0.2× 17 464
Renata C. Gallagher United States 17 108 0.4× 482 2.1× 17 0.1× 385 3.1× 19 0.2× 26 881
Coleman Turgeon United States 13 61 0.2× 380 1.7× 20 0.1× 404 3.3× 35 0.3× 26 821
Y Haraguchi Japan 12 134 0.5× 326 1.4× 12 0.1× 191 1.5× 37 0.3× 30 612
Rubina Kapadia United States 15 34 0.1× 224 1.0× 35 0.2× 38 0.3× 137 1.1× 25 612

Countries citing papers authored by Maite Jiménez-Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Maite Jiménez-Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maite Jiménez-Vidal. 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 Maite Jiménez-Vidal. The network helps show where Maite Jiménez-Vidal may publish in the future.

Co-authorship network of co-authors of Maite Jiménez-Vidal

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

All Works

9 of 9 papers shown
1.
Grillo‐Hill, Bree K., Changhoon Choi, Maite Jiménez-Vidal, & Diane L. Barber. (2015). Increased H+ efflux is sufficient to induce dysplasia and necessary for viability with oncogene expression. eLife. 4. 71 indexed citations
2.
Jiménez-Vidal, Maite, Jyoti Srivastava, Luanna K. Putney, & Diane L. Barber. (2010). Nuclear-localized Calcineurin Homologous Protein CHP1 Interacts with Upstream Binding Factor and Inhibits Ribosomal RNA Synthesis. Journal of Biological Chemistry. 285(47). 36260–36266. 11 indexed citations
3.
Karydis, Anastasios, Maite Jiménez-Vidal, Sheryl P. Denker, & Diane L. Barber. (2009). Mislocalized Scaffolding by the Na-H Exchanger NHE1 Dominantly Inhibits Fibronectin Production and TGF-β Activation. Molecular Biology of the Cell. 20(8). 2327–2336. 21 indexed citations
4.
Fernández, Esperanza, Maite Jiménez-Vidal, Marı́a Calvo, et al.. (2006). The Structural and Functional Units of Heteromeric Amino Acid Transporters. Journal of Biological Chemistry. 281(36). 26552–26561. 42 indexed citations
5.
Palacı́n, Manuel, Virginia Nunes, Mariona Font-Llitjós, et al.. (2005). The Genetics of Heteromeric Amino Acid Transporters. Physiology. 20(2). 112–124. 119 indexed citations
6.
7.
Jiménez-Vidal, Maite, et al.. (2004). Membrane Topology of System Xc- Light Subunit Reveals a Re-entrant Loop with Substrate-restricted Accessibility. Journal of Biological Chemistry. 279(30). 31228–31236. 76 indexed citations
8.
Strologo, Luca Dello, Elon Pras, Ercole Beccia, et al.. (2002). Comparison between SLC3A1 and SLC7A9 Cystinuria Patients and Carriers. Journal of the American Society of Nephrology. 13(10). 2547–2553. 185 indexed citations
9.
Bisceglia, Luigi, Maite Jiménez-Vidal, Pio D’Adamo, et al.. (2001). Cystinuria type I: Identification of eight new mutations in SLC3A1. Kidney International. 59(4). 1250–1256. 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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