Víctor M. Diaz

2.3k total citations
37 papers, 1.7k citations indexed

About

Víctor M. Diaz is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Víctor M. Diaz has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Víctor M. Diaz's work include Ubiquitin and proteasome pathways (6 papers), Cancer-related Molecular Pathways (5 papers) and Epigenetics and DNA Methylation (5 papers). Víctor M. Diaz is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Cancer-related Molecular Pathways (5 papers) and Epigenetics and DNA Methylation (5 papers). Víctor M. Diaz collaborates with scholars based in Spain, Italy and United States. Víctor M. Diaz's co-authors include Antonio Garcı́a de Herreros, Rosa Viñas-Castells, Rosanna Paciucci, Natàlia Dave, Josep Baulida, Sandra Peiró, Luciano Di Croce, Nicolás Herranz, Clara Francı́ and Diego Pasini and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Víctor M. Diaz

37 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Víctor M. Diaz Spain 23 1.3k 612 388 127 126 37 1.7k
Anette Sommer Germany 25 1.2k 0.9× 699 1.1× 323 0.8× 206 1.6× 158 1.3× 63 2.0k
Hyun-Soon Jong South Korea 24 1.2k 0.9× 467 0.8× 262 0.7× 91 0.7× 175 1.4× 34 1.6k
Shuiliang Wang China 22 989 0.8× 519 0.8× 368 0.9× 73 0.6× 83 0.7× 60 1.6k
Gretchen M. Unger United States 17 1.2k 0.9× 438 0.7× 181 0.5× 144 1.1× 154 1.2× 29 1.6k
Shalom Madar Israel 22 1.0k 0.8× 736 1.2× 583 1.5× 74 0.6× 112 0.9× 27 1.6k
Sven A. Lang Germany 24 928 0.7× 449 0.7× 298 0.8× 91 0.7× 121 1.0× 44 1.5k
Haluk Yuzugullu France 10 1.4k 1.0× 541 0.9× 305 0.8× 75 0.6× 116 0.9× 12 1.8k
Radosław Januchowski Poland 24 1.1k 0.8× 736 1.2× 476 1.2× 72 0.6× 143 1.1× 53 1.8k
Kathleen D. Whitney United States 16 775 0.6× 695 1.1× 318 0.8× 204 1.6× 146 1.2× 25 1.6k
Karen M. Hajra United States 7 1.4k 1.1× 679 1.1× 309 0.8× 120 0.9× 223 1.8× 7 1.8k

Countries citing papers authored by Víctor M. Diaz

Since Specialization
Citations

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

Fields of papers citing papers by Víctor M. Diaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Víctor M. Diaz. 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 Víctor M. Diaz. The network helps show where Víctor M. Diaz may publish in the future.

Co-authorship network of co-authors of Víctor M. Diaz

This figure shows the co-authorship network connecting the top 25 collaborators of Víctor M. Diaz. A scholar is included among the top collaborators of Víctor M. Diaz 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 Víctor M. Diaz. Víctor M. Diaz 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.
Jiménez-Reinoso, Anaïs, Víctor M. Diaz, Marina García-Peydró, et al.. (2022). Efficient preclinical treatment of cortical T cell acute lymphoblastic leukemia with T lymphocytes secreting anti-CD1a T cell engagers. Journal for ImmunoTherapy of Cancer. 10(12). e005333–e005333. 12 indexed citations
2.
Bertoni, Martino, Miquel Duran‐Frigola, Pau Badia-i-Mompel, et al.. (2021). Bioactivity descriptors for uncharacterized chemical compounds. Nature Communications. 12(1). 3932–3932. 60 indexed citations
3.
Zanetti, Samanta Romina, Talía Velasco-Hernández, Francisco Gutiérrez‐Agüera, et al.. (2021). A novel and efficient tandem CD19- and CD22-directed CAR for B cell ALL. Molecular Therapy. 30(2). 550–563. 29 indexed citations
4.
Baulida, Josep, Víctor M. Diaz, & Antonio Garcı́a de Herreros. (2019). Snail1: A Transcriptional Factor Controlled at Multiple Levels. Journal of Clinical Medicine. 8(6). 757–757. 56 indexed citations
5.
Diaz, Víctor M., et al.. (2018). Eco-friendly pervious concrete infrastructure for stormwater management and bicycle parking: a case study. Urban Water Journal. 15(7). 713–721. 10 indexed citations
6.
Herranz, Nicolás, Natàlia Dave, Laura Pascual‐Reguant, et al.. (2016). Lysyl oxidase‐like 2 (LOXL2) oxidizes trimethylated lysine 4 in histone H3. FEBS Journal. 283(23). 4263–4273. 55 indexed citations
7.
Diaz, Víctor M. & Antonio Garcı́a de Herreros. (2015). F-box proteins: Keeping the epithelial-to-mesenchymal transition (EMT) in check. Seminars in Cancer Biology. 36. 71–79. 93 indexed citations
8.
Diaz, Víctor M., Rosa Viñas-Castells, & Antonio Garcı́a de Herreros. (2014). Regulation of the protein stability of EMT transcription factors. Cell Adhesion & Migration. 8(4). 418–428. 80 indexed citations
9.
Viñas-Castells, Rosa, Alex Frías, Kezhong Zhang, et al.. (2013). Nuclear ubiquitination by FBXL5 modulates Snail1 DNA binding and stability. Nucleic Acids Research. 42(2). 1079–1094. 73 indexed citations
10.
Villagrasa, Patricia, Víctor M. Diaz, Rosa Viñas-Castells, et al.. (2011). Akt2 interacts with Snail1 in the E-cadherin promoter. Oncogene. 31(36). 4022–4033. 27 indexed citations
11.
Deflorian, Gianluca, et al.. (2010). Characterization of the Regulatory Region of the Zebrafish Prep1.1 Gene: Analogies to the Promoter of the Human PREP1. PLoS ONE. 5(12). e15047–e15047. 3 indexed citations
12.
Oriente, Francesco, Luis C. Fernández, Claudia Miele, et al.. (2008). Prep1 Deficiency Induces Protection from Diabetes and Increased Insulin Sensitivity through a p160-Mediated Mechanism. Molecular and Cellular Biology. 28(18). 5634–5645. 36 indexed citations
13.
Rosa, Patrizia, Elena Longobardi, Giorgio Antonio Iotti, et al.. (2007). The homeodomain transcription factor Prep1 (pKnox1) is required for hematopoietic stem and progenitor cell activity. Developmental Biology. 311(2). 324–334. 34 indexed citations
14.
Diaz, Víctor M., Angela Bachi, & Francesco Blasi. (2007). Purification of the Prep1 interactome identifies novel pathways regulated by Prep1. PROTEOMICS. 7(15). 2617–2623. 9 indexed citations
15.
Diaz, Víctor M., Eric J. Kort, Massimo Resnati, et al.. (2006). Requirement of the enzymatic and signaling activities of plasmin for phorbol-ester-induced scattering of colon cancer cells. Experimental Cell Research. 312(12). 2203–2213. 5 indexed citations
16.
17.
Ruiz, Emilio Muñoz, et al.. (2001). Un primer mapa del sector biotecnológico en España. Journal of Animal Science. 77(161). 87–102. 1 indexed citations
18.
Paciucci, Rosanna, Montserrat Torà, Víctor M. Diaz, & Francisco X. Real. (1998). The plasminogen activator system in pancreas cancer: role of t-PA in the invasive potential in vitro. Oncogene. 16(5). 625–633. 67 indexed citations
19.
20.
Cruces, Jesús, Víctor M. Diaz, Miguel Quintanilla, Jaime Renart, & Jesús Sebastián. (1984). Purification and subunit structure of RNA polymerase II from different stages of Artemia development. European Journal of Biochemistry. 141(2). 279–282. 3 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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