Daniel Pérez-Hernández

7.0k total citations · 2 hit papers
41 papers, 4.9k citations indexed

About

Daniel Pérez-Hernández is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Daniel Pérez-Hernández has authored 41 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Cancer Research and 7 papers in Cell Biology. Recurrent topics in Daniel Pérez-Hernández's work include Cell Adhesion Molecules Research (6 papers), Advanced Proteomics Techniques and Applications (5 papers) and MicroRNA in disease regulation (4 papers). Daniel Pérez-Hernández is often cited by papers focused on Cell Adhesion Molecules Research (6 papers), Advanced Proteomics Techniques and Applications (5 papers) and MicroRNA in disease regulation (4 papers). Daniel Pérez-Hernández collaborates with scholars based in Germany, Spain and Luxembourg. Daniel Pérez-Hernández's co-authors include Jesús Vázquez, Francisco Sánchez‐Madrid, Cristina Gutiérrez‐Vázquez, Fátima Sánchez‐Cabo, Carolina Villarroya‐Beltri, Dannys Jorge Martínez-Herrera, Noa B. Martín‐Cófreces, Alberto Pascual-Montano, Marı́a Mittelbrunn and Gunnar Dittmar and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Daniel Pérez-Hernández

39 papers receiving 4.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sumoylated hnRNPA2B1 controls the sorting of miRNAs into exosomes through binding to specific motifs

2013 1.5k citations Carolina Villarroya‐Beltri, Cristina Gutiérrez‐Vázquez et al. Nature Communications profile →
Translation of CircRNAs

2017 1.4k citations Daniel Pérez-Hernández, Evelyn Ramberger et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Pérez-Hernández Germany	23	3.9k	2.6k	668	408	222	41	4.9k
Charles Pin‐Kuang Lai United States	24	4.1k 1.1×	2.0k 0.8×	588 0.9×	205 0.5×	89 0.4×	41	4.8k
Bence György United States	28	5.0k 1.3×	1.7k 0.7×	919 1.4×	385 0.9×	137 0.6×	57	6.5k
Katarina Trajković Germany	13	3.0k 0.8×	1.4k 0.5×	442 0.7×	190 0.5×	396 1.8×	18	3.6k
Casey A. Maguire United States	34	4.2k 1.1×	1.5k 0.6×	424 0.6×	236 0.6×	85 0.4×	74	5.3k
Dimphna H. Meijer Netherlands	14	4.1k 1.1×	2.7k 1.0×	442 0.7×	99 0.2×	120 0.5×	21	4.7k
Noa B. Martín‐Cófreces Spain	23	2.4k 0.6×	1.3k 0.5×	960 1.4×	136 0.3×	303 1.4×	52	3.2k
Michel Vidal France	31	4.6k 1.2×	1.8k 0.7×	945 1.4×	236 0.6×	484 2.2×	69	5.5k
Emanuele Cocucci United States	22	3.9k 1.0×	1.5k 0.6×	549 0.8×	111 0.3×	927 4.2×	30	4.7k
Elena Vigorito United Kingdom	33	3.4k 0.9×	2.6k 1.0×	2.1k 3.1×	83 0.2×	168 0.8×	55	5.6k
Gabriella Racchetti Italy	19	2.0k 0.5×	842 0.3×	366 0.5×	215 0.5×	375 1.7×	42	2.6k

Countries citing papers authored by Daniel Pérez-Hernández

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Pérez-Hernández

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Pérez-Hernández. 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 Daniel Pérez-Hernández. The network helps show where Daniel Pérez-Hernández may publish in the future.

Co-authorship network of co-authors of Daniel Pérez-Hernández

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

All Works

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20 of 20 papers shown

Montero‐Calle, Ana, Álvaro López‐Janeiro, Marta Mendes, et al.. (2023). In-depth quantitative proteomics analysis revealed C1GALT1 depletion in ECC-1 cells mimics an aggressive endometrial cancer phenotype observed in cancer patients with low C1GALT1 expression. Cellular Oncology. 46(3). 697–715. 16 indexed citations

Legrand, Carine, Johanna Schott, Daniel Pérez-Hernández, et al.. (2023). Queuosine‐tRNA promotes sex‐dependent learning and memory formation by maintaining codon‐biased translation elongation speed. The EMBO Journal. 42(19). e112507–e112507. 24 indexed citations

Pérez-Hernández, Daniel, et al.. (2023). An integrated workflow for phosphopeptide identification in natural killer cells (NK-92MI) and their targets (MDA-MB-231) during immunological synapse formation. STAR Protocols. 4(1). 102104–102104. 2 indexed citations

Pérez-Hernández, Daniel, et al.. (2023). Using PrISMa to reveal the interactome of the human claudins family. STAR Protocols. 4(4). 102549–102549. 1 indexed citations

Pérez-Hernández, Daniel, Tânia Simões, Astrid Schauß, et al.. (2023). Docking and stability defects in mitofusin highlight the proteasome as a potential therapeutic target. iScience. 26(7). 107014–107014. 1 indexed citations

Ramberger, Evelyn, Daniel Pérez-Hernández, Mohamed Haji, et al.. (2021). A Universal Peptide Matrix Interactomics Approach to Disclose Motif-Dependent Protein Binding. Molecular & Cellular Proteomics. 20. 100135–100135. 11 indexed citations

Kobelt, Dennis, Daniel Pérez-Hernández, Mathias Dahlmann, et al.. (2021). The newly identified MEK1 tyrosine phosphorylation target MACC1 is druggable by approved MEK1 inhibitors to restrict colorectal cancer metastasis. Oncogene. 40(34). 5286–5301. 14 indexed citations

Ramberger, Evelyn, Elisabeth Kowenz‐Leutz, Karin Zimmermann, et al.. (2021). PRISMA and BioID disclose a motifs-based interactome of the intrinsically disordered transcription factor C/EBPα. iScience. 24(6). 102686–102686. 11 indexed citations

Pérez-Hernández, Daniel & Gunnar Dittmar. (2021). Peptide array–based interactomics. Analytical and Bioanalytical Chemistry. 413(22). 5561–5566. 7 indexed citations

10.

Schuster, Anne, Eliane Klein, Virginie Neirinckx, et al.. (2020). AN1-type zinc finger protein 3 (ZFAND3) is a transcriptional regulator that drives Glioblastoma invasion. Nature Communications. 11(1). 6366–6366. 22 indexed citations

11.

Dittmar, Gunnar, Daniel Pérez-Hernández, Elisabeth Kowenz‐Leutz, et al.. (2019). PRISMA: Protein Interaction Screen on Peptide Matrix Reveals Interaction Footprints and Modifications- Dependent Interactome of Intrinsically Disordered C/EBPβ. iScience. 13. 351–370. 25 indexed citations

12.

Güneykaya, Dilansu, Andranik Ivanov, Daniel Pérez-Hernández, et al.. (2018). Transcriptional and Translational Differences of Microglia from Male and Female Brains. Cell Reports. 24(10). 2773–2783.e6. 336 indexed citations

13.

Lawrence, Robert, Elizabeth M. Perez, Daniel Pérez-Hernández, et al.. (2015). The Proteomic Landscape of Triple-Negative Breast Cancer. Cell Reports. 11(4). 630–644. 160 indexed citations

14.

Villarroya‐Beltri, Carolina, Cristina Gutiérrez‐Vázquez, Fátima Sánchez‐Cabo, et al.. (2013). Sumoylated hnRNPA2B1 controls the sorting of miRNAs into exosomes through binding to specific motifs. Nature Communications. 4(1). 2980–2980. 1539 indexed citations breakdown →

15.

Tejera, Emilio, Vera Rocha‐Perugini, Soraya López‐Martín, et al.. (2012). CD81 regulates cell migration through its association with Rac GTPase. Molecular Biology of the Cell. 24(3). 261–273. 62 indexed citations

16.

Bonzón‐Kulichenko, Elena, Daniel Pérez-Hernández, Estefanía Núñez, et al.. (2010). A Robust Method for Quantitative High-throughput Analysis of Proteomes by 18O Labeling. Molecular & Cellular Proteomics. 10(1). M110.003335–M110.003335. 85 indexed citations

17.

Pérez-Hernández, Daniel, Laia Miquel‐Serra, María José Docampo, et al.. (2010). V3 Versican Isoform Alters the Behavior of Human Melanoma Cells by Interfering with CD44/ErbB-dependent Signaling. Journal of Biological Chemistry. 286(2). 1475–1485. 28 indexed citations

18.

Pérez-Hernández, Daniel, Laia Miquel‐Serra, María José Docampo, et al.. (2009). Structure and Regulation of the Versican Promoter. Journal of Biological Chemistry. 284(18). 12306–12317. 22 indexed citations

19.

Docampo, María José, et al.. (2007). Altered expression of versican and hyaluronan in melanocytic tumors of dogs. American Journal of Veterinary Research. 68(12). 1376–1385. 10 indexed citations

20.

Miquel‐Serra, Laia, Montserrat Serra, Daniel Pérez-Hernández, et al.. (2006). V3 versican isoform expression has a dual role in human melanoma tumor growth and metastasis. Laboratory Investigation. 86(9). 889–901. 51 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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