Jorge García–Martínez

538 total citations
19 papers, 384 citations indexed

About

Jorge García–Martínez is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Jorge García–Martínez has authored 19 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Pharmacology. Recurrent topics in Jorge García–Martínez's work include Fungal Biology and Applications (4 papers), Photoreceptor and optogenetics research (2 papers) and TGF-β signaling in diseases (2 papers). Jorge García–Martínez is often cited by papers focused on Fungal Biology and Applications (4 papers), Photoreceptor and optogenetics research (2 papers) and TGF-β signaling in diseases (2 papers). Jorge García–Martínez collaborates with scholars based in Spain, Hungary and United States. Jorge García–Martínez's co-authors include Javier Ávalos, Ulrich Terpitz, Attila L. Ádám, Juan R. de los Toyos, José A. Galván, Carmen González del Rey, Primitiva Menéndez‐Rodríguez, Fernando Vázquez, Luis Barneo and L. Hornok and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Jorge García–Martínez

19 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge García–Martínez Spain 10 182 145 74 69 60 19 384
Guido Fellbrich Germany 7 275 1.5× 253 1.7× 18 0.2× 82 1.2× 73 1.2× 7 594
Mari Björkman Finland 7 563 3.1× 127 0.9× 49 0.7× 112 1.6× 86 1.4× 19 754
Svante Bohman Sweden 10 426 2.3× 202 1.4× 17 0.2× 115 1.7× 66 1.1× 11 686
Hirotoshi Motoda Japan 14 241 1.3× 250 1.7× 16 0.2× 22 0.3× 76 1.3× 27 635
Alan A. Finegold United States 8 343 1.9× 66 0.5× 29 0.4× 90 1.3× 40 0.7× 9 549
Yayoi Kaneko Japan 12 520 2.9× 214 1.5× 20 0.3× 307 4.4× 23 0.4× 13 747
Shiaw‐Wei Tyan Taiwan 8 255 1.4× 21 0.1× 41 0.6× 73 1.1× 174 2.9× 8 427
Martina Vojtěchová Czechia 14 351 1.9× 78 0.5× 9 0.1× 51 0.7× 88 1.5× 32 567
N. Goto Japan 10 290 1.6× 99 0.7× 14 0.2× 24 0.3× 104 1.7× 15 497
Aiguo Shen China 12 203 1.1× 20 0.1× 25 0.3× 25 0.4× 45 0.8× 24 384

Countries citing papers authored by Jorge García–Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Jorge García–Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge García–Martínez. 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 Jorge García–Martínez. The network helps show where Jorge García–Martínez may publish in the future.

Co-authorship network of co-authors of Jorge García–Martínez

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

All Works

19 of 19 papers shown
1.
Molina‐Jiménez, Francisca, Laura Arias‐González, Sergio Casabona, et al.. (2024). Proton pump inhibitor effect on esophageal protein signature of eosinophilic esophagitis, prediction, and evaluation of treatment response. Allergy. 79(12). 3448–3463. 5 indexed citations
2.
García–Martínez, Jorge, et al.. (2024). Three Genes Involved in Different Signaling Pathways, carS, wcoA, and acyA, Participate in the Regulation of Fusarin Biosynthesis in Fusarium fujikuroi. Journal of Fungi. 10(3). 203–203. 2 indexed citations
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García‐Marín, Rocío, Cristina Riobello, Laura Suárez–Fernández, et al.. (2022). A Novel External Auditory Canal Squamous Cell Carcinoma Cell Line Sensitive to CDK4/6 Inhibition. Otolaryngology. 168(4). 729–737. 1 indexed citations
6.
Reolid, Alejandra, Antonio Sahuquillo‐Torralba, Ancor Sanz‐García, et al.. (2022). CNVs Associated with Different Clinical Phenotypes of Psoriasis and Anti-TNF-Induced Palmoplantar Pustulosis. Journal of Personalized Medicine. 12(9). 1452–1452. 2 indexed citations
7.
Llamas‐Velasco, Mar, Alejandra Reolid, Ancor Sanz‐García, et al.. (2020). Methylation in psoriasis. Does sex matter?. Journal of the European Academy of Dermatology and Venereology. 35(2). e161–e163. 3 indexed citations
8.
Rivero, Sabrina, et al.. (2019). TBL1 is required for the mesenchymal phenotype of transformed breast cancer cells. Cell Death and Disease. 10(2). 95–95. 12 indexed citations
9.
Adam, Alexander, et al.. (2018). Protein Activity of the Fusarium fujikuroi Rhodopsins CarO and OpsA and Their Relation to Fungus–Plant Interaction. International Journal of Molecular Sciences. 19(1). 215–215. 25 indexed citations
10.
García–Martínez, Jorge, et al.. (2016). Aneuploidy in stem cells. World Journal of Stem Cells. 8(6). 216–216. 11 indexed citations
11.
García–Martínez, Jorge, et al.. (2015). The CarO rhodopsin of the fungus Fusarium fujikuroi is a light-driven proton pump that retards spore germination. Scientific Reports. 5(1). 7798–7798. 59 indexed citations
12.
Vázquez, Fernando, José A. Galván, Jorge García–Martínez, et al.. (2015). COL11A1/(pro)collagen 11A1 expression is a remarkable biomarker of human invasive carcinoma-associated stromal cells and carcinoma progression. Tumor Biology. 36(4). 2213–2222. 98 indexed citations
13.
Galván, José A., Jorge García–Martínez, Fernando Vázquez, et al.. (2014). Validation of COL11A1/procollagen 11A1 expression in TGF-β1-activated immortalised human mesenchymal cells and in stromal cells of human colon adenocarcinoma. BMC Cancer. 14(1). 867–867. 31 indexed citations
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García–Martínez, Jorge, et al.. (2013). Light-Dependent Functions of the Fusarium fujikuroi CryD DASH Cryptochrome in Development and Secondary Metabolism. Applied and Environmental Microbiology. 79(8). 2777–2788. 60 indexed citations
16.
García–Martínez, Jorge, Attila L. Ádám, & Javier Ávalos. (2012). Adenylyl Cyclase Plays a Regulatory Role in Development, Stress Resistance and Secondary Metabolism in Fusarium fujikuroi. PLoS ONE. 7(1). e28849–e28849. 25 indexed citations
17.
Coca‐Pelaz, Andrés, José Luís Llorente, Jorge García–Martínez, et al.. (2012). Medullary thyroid carcinoma and 2q37 deletion in a patient with nevoid basal cell carcinoma syndrome: Clinical description and genetic analysis. Head & Neck. 35(5). E147–52. 1 indexed citations
18.
Ádám, Attila L., et al.. (2011). The MAT1-2-1 mating-type gene upregulates photo-inducible carotenoid biosynthesis in Fusarium verticillioides. FEMS Microbiology Letters. 318(1). 76–83. 20 indexed citations
19.
Ádám, Attila L., et al.. (2010). Adenylyl cyclase regulates heavy metal sensitivity, bikaverin production and plant tissue colonization in Fusarium proliferatum. Journal of Basic Microbiology. 50(1). 59–71. 20 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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