Fernando J. López-Díaz

677 total citations
15 papers, 499 citations indexed

About

Fernando J. López-Díaz is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Fernando J. López-Díaz has authored 15 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Genetics. Recurrent topics in Fernando J. López-Díaz's work include Pregnancy and preeclampsia studies (2 papers), Genetic Syndromes and Imprinting (2 papers) and Epigenetics and DNA Methylation (2 papers). Fernando J. López-Díaz is often cited by papers focused on Pregnancy and preeclampsia studies (2 papers), Genetic Syndromes and Imprinting (2 papers) and Epigenetics and DNA Methylation (2 papers). Fernando J. López-Díaz collaborates with scholars based in United States, Argentina and France. Fernando J. López-Díaz's co-authors include Hatim Husain, Brian Woodward, Ajaz Bulbul, Scott M. Lippman, John Paul Shen, Beverly M. Emerson, José Luís Bocco, Daniela A Slavin, Nicolás P. Koritschoner and Bruno Chatton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Molecular Cell.

In The Last Decade

Fernando J. López-Díaz

13 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fernando J. López-Díaz United States	8	357	154	115	103	53	15	499
Alexey V. Bazarov United States	10	333 0.9×	266 1.7×	91 0.8×	117 1.1×	27 0.5×	12	525
Tom Januario United States	5	463 1.3×	262 1.7×	95 0.8×	126 1.2×	51 1.0×	8	628
Wayne Blosser United States	15	464 1.3×	310 2.0×	95 0.8×	69 0.7×	24 0.5×	19	637
Katherine R. Singleton United States	11	497 1.4×	209 1.4×	190 1.7×	135 1.3×	22 0.4×	16	652
Mihai I. Truica United States	9	406 1.1×	166 1.1×	88 0.8×	96 0.9×	26 0.5×	12	563
Matthew Zubrowski United States	5	506 1.4×	266 1.7×	64 0.6×	78 0.8×	17 0.3×	6	624
Sally Drew United States	6	253 0.7×	89 0.6×	86 0.7×	76 0.7×	31 0.6×	10	441
B. Corkery Ireland	5	204 0.6×	284 1.8×	108 0.9×	141 1.4×	25 0.5×	9	450
Rebecca L. Lynch United States	4	452 1.3×	143 0.9×	98 0.9×	88 0.9×	46 0.9×	4	615
Marian M. Deuker United States	6	580 1.6×	274 1.8×	65 0.6×	88 0.9×	26 0.5×	6	742

Countries citing papers authored by Fernando J. López-Díaz

Since Specialization

Citations

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

Fields of papers citing papers by Fernando J. López-Díaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando J. López-Díaz. 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 Fernando J. López-Díaz. The network helps show where Fernando J. López-Díaz may publish in the future.

Co-authorship network of co-authors of Fernando J. López-Díaz

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

All Works

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15 of 15 papers shown

Shen, John Paul, Fernando J. López-Díaz, Alessandro Leal, et al.. (2025). Diversity of BRAF mutations in non-small cell lung cancer and implications on treatment. npj Precision Oncology. 9(1). 335–335.

Krawczyk, Maciej, et al.. (2023). RNA Fusions and Their Association with DNA Alterations in Myeloid Neoplasia Patients Identified By a Single Tube Multimodal Comprehensive Genomic Profiling Test. Blood. 142(Supplement 1). 1556–1556.

Shin, Miyoung, et al.. (2022). Abstract 1254: Actionable fusions detected by RNA-seq co-occur with PD-L1 expression and driver mutations in solid tumors patients. Cancer Research. 82(12_Supplement). 1254–1254. 1 indexed citations

López-Díaz, Fernando J., Thom P. Santisakultarm, Linjing Fang, et al.. (2021). Dynamic regulation of CTCF stability and sub-nuclear localization in response to stress. PLoS Genetics. 17(1). e1009277–e1009277. 17 indexed citations

Ramesh, Archana, Samuel Koo, Soo Jin Kang, et al.. (2021). A Novel NGS-Based Simultaneous Detection of DNA and RNA Biomarkers Using Total Nucleic Acid (TNA) for Acute Lymphocytic Leukemia (ALL). Blood. 138(Supplement 1). 1875–1875. 1 indexed citations

Bulbul, Ajaz, John Paul Shen, Brian Woodward, et al.. (2019). Novel Third-Generation EGFR Tyrosine Kinase Inhibitors and Strategies to Overcome Therapeutic Resistance in Lung Cancer. Cancer Research. 79(4). 689–698. 164 indexed citations

Bulbul, Ajaz, Patrick M. Forde, Brian Woodward, et al.. (2018). Systemic Treatment Options for Brain Metastases from Non-Small-Cell Lung Cancer.. PubMed. 32(4). 156–63. 11 indexed citations

López-Díaz, Fernando J., et al.. (2018). Characterization of cellular states of CHO-K1 suspension cell culture through cell cycle and RNA-sequencing profiling. Journal of Biotechnology. 286. 56–67. 7 indexed citations

Lee, Wendy, Fernando J. López-Díaz, Shahid Y. Khan, et al.. (2014). Single-cell analyses of transcriptional heterogeneity during drug tolerance transition in cancer cells by RNA sequencing. Proceedings of the National Academy of Sciences. 111(44). E4726–35. 135 indexed citations

10.

López-Díaz, Fernando J., Philippe Gascard, Jianxin Zhao, et al.. (2013). Coordinate Transcriptional and Translational Repression of p53 by TGF-β1 Impairs the Stress Response. Molecular Cell. 50(4). 552–564. 31 indexed citations

11.

López-Díaz, Fernando J., Rodrigo Nores, Graciela M. Panzetta‐Dutari, et al.. (2007). RXRα Regulates the Pregnancy-Specific Glycoprotein 5 Gene Transcription Through a Functional Retinoic Acid Responsive Element. Placenta. 28(8-9). 898–906. 7 indexed citations

12.

Slavin, Daniela A, Nicolás P. Koritschoner, Claudio Prieto, et al.. (2004). A new role for the Krüppel-like transcription factor KLF6 as an inhibitor of c-Jun proto-oncoprotein function. Oncogene. 23(50). 8196–8205. 75 indexed citations

13.

Nores, Rodrigo, Loı̈c Blanchon, Fernando J. López-Díaz, et al.. (2003). Transcriptional Control of the Human Pregnancy-specific Glycoprotein 5 Gene is Dependent on Two GT-boxes Recognized by the Ubiquitous Specificity Protein 1 (Sp1) Transcription Factor. Placenta. 25(1). 9–19. 12 indexed citations

14.

Slavin, Daniela A, Vincent Sapin, Fernando J. López-Díaz, et al.. (1999). The Krüppel-Like Core Promoter Binding Protein Gene Is Primarily Expressed in Placenta During Mouse Development1. Biology of Reproduction. 61(6). 1586–1591. 36 indexed citations

15.

López-Díaz, Fernando J. & F. Bastida. (1994). Structural data from drill core. Geological Magazine. 131(5). 619–623. 2 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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