Hernán González‐King

996 total citations
16 papers, 760 citations indexed

About

Hernán González‐King is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hernán González‐King has authored 16 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hernán González‐King's work include Extracellular vesicles in disease (12 papers), MicroRNA in disease regulation (8 papers) and Cardiac Fibrosis and Remodeling (2 papers). Hernán González‐King is often cited by papers focused on Extracellular vesicles in disease (12 papers), MicroRNA in disease regulation (8 papers) and Cardiac Fibrosis and Remodeling (2 papers). Hernán González‐King collaborates with scholars based in Spain, Sweden and Australia. Hernán González‐King's co-authors include Pilar Sepúlveda, Nahuel Aquiles García, Imelda Ontoria‐Oviedo, José Montero, Antonio Díez‐Juan, José Luís de la Pompa, Aase Handberg, Paula Izquierdo‐Altarejos, Carmina Montoliú and Andrea Cabrera‐Pastor and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Hernán González‐King

15 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hernán González‐King Spain 9 594 335 125 112 91 16 760
Nahuel Aquiles García Spain 10 691 1.2× 370 1.1× 128 1.0× 123 1.1× 186 2.0× 19 962
Jingcai Wang United States 9 672 1.1× 381 1.1× 193 1.5× 157 1.4× 84 0.9× 17 864
Yihuan Chen China 12 688 1.2× 411 1.2× 117 0.9× 203 1.8× 164 1.8× 25 897
Dilyana Todorova China 9 782 1.3× 355 1.1× 73 0.6× 125 1.1× 45 0.5× 11 976
Yunsheng Yu China 10 434 0.7× 204 0.6× 165 1.3× 263 2.3× 135 1.5× 22 753
Jingwen Cai United States 12 824 1.4× 431 1.3× 49 0.4× 83 0.7× 44 0.5× 40 998
Sara Bolis Switzerland 16 704 1.2× 257 0.8× 47 0.4× 191 1.7× 234 2.6× 31 943
Hiromitsu Yamamoto Japan 14 528 0.9× 183 0.5× 49 0.4× 86 0.8× 87 1.0× 36 929
Kristin Luther United States 11 483 0.8× 260 0.8× 44 0.4× 99 0.9× 107 1.2× 17 676

Countries citing papers authored by Hernán González‐King

Since Specialization
Citations

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

Fields of papers citing papers by Hernán González‐King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hernán González‐King. 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 Hernán González‐King. The network helps show where Hernán González‐King may publish in the future.

Co-authorship network of co-authors of Hernán González‐King

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

All Works

16 of 16 papers shown
1.
Ivanova, Alena, Mike Firth, Hernán González‐King, et al.. (2025). Barcoded Hybrids of Extracellular Vesicles and Lipid Nanoparticles for Multiplexed Analysis of Tissue Distribution. Advanced Science. 12(10). e2407850–e2407850. 6 indexed citations
2.
García, Nahuel Aquiles, et al.. (2024). Comprehensive strategy for identifying extracellular vesicle surface proteins as biomarkers for chronic kidney disease. Frontiers in Physiology. 15. 1328362–1328362. 2 indexed citations
3.
Ivanova, Alena, Franziska Kohl, Hernán González‐King, et al.. (2024). In vivo phage display identifies novel peptides for cardiac targeting. Scientific Reports. 14(1). 12177–12177. 6 indexed citations
4.
Carracedo, Miguel, Elke Ericson, Rasmus Ågren, et al.. (2023). APOL1 promotes endothelial cell activation beyond the glomerulus. iScience. 26(6). 106830–106830. 9 indexed citations
5.
González‐King, Hernán, et al.. (2023). Oncostatin M-Enriched Small Extracellular Vesicles Derived from Mesenchymal Stem Cells Prevent Isoproterenol-Induced Fibrosis and Enhance Angiogenesis. International Journal of Molecular Sciences. 24(7). 6467–6467. 4 indexed citations
6.
García, Nahuel Aquiles, et al.. (2023). Comprehensive Strategy for Identifying Extracellular Vesicle Surface Proteins as Biomarkers for Non-Alcoholic Fatty Liver Disease. International Journal of Molecular Sciences. 24(17). 13326–13326. 8 indexed citations
7.
Nawaz, Muhammad, Sepideh Heydarkhan‐Hagvall, Hernán González‐King, et al.. (2023). Lipid Nanoparticles Deliver the Therapeutic VEGFA mRNA In Vitro and In Vivo and Transform Extracellular Vesicles for Their Functional Extensions. Advanced Science. 10(12). e2206187–e2206187. 63 indexed citations
8.
Gómez-Ferrer, Marta, et al.. (2021). miR-4732-3p in Extracellular Vesicles From Mesenchymal Stromal Cells Is Cardioprotective During Myocardial Ischemia. Frontiers in Cell and Developmental Biology. 9. 734143–734143. 36 indexed citations
9.
Decker, Caitlin G., José Luis Díez Gil, Raquel Álvarez, et al.. (2021). Polymer Conjugation of Docosahexaenoic Acid Potentiates Cardioprotective Therapy in Preclinical Models of Myocardial Ischemia/Reperfusion Injury. Advanced Healthcare Materials. 10(9). e2002121–e2002121. 7 indexed citations
10.
Izquierdo‐Altarejos, Paula, Andrea Cabrera‐Pastor, Hernán González‐King, Carmina Montoliú, & Vicente Felipo. (2020). Extracellular Vesicles from Hyperammonemic Rats Induce Neuroinflammation and Motor Incoordination in Control Rats. Cells. 9(3). 572–572. 30 indexed citations
11.
García, Nahuel Aquiles, Hernán González‐King, Alicia Martínez‐Romero, et al.. (2019). Circulating exosomes deliver free fatty acids from the bloodstream to cardiac cells: Possible role of CD36. PLoS ONE. 14(5). e0217546–e0217546. 42 indexed citations
12.
González‐King, Hernán, et al.. (2018). Analysis of Exosome Transfer in Mammalian Cells by Fluorescence Recovery after Photobleaching. BIO-PROTOCOL. 8(2). e2692–e2692.
13.
Ontoria‐Oviedo, Imelda, Akaitz Dorronsoro, Marta Gómez-Ferrer, et al.. (2018). Extracellular Vesicles Secreted by Hypoxic AC10 Cardiomyocytes Modulate Fibroblast Cell Motility. Frontiers in Cardiovascular Medicine. 5. 152–152. 14 indexed citations
14.
García, Nahuel Aquiles, Imelda Ontoria‐Oviedo, Hernán González‐King, et al.. (2017). Mesenchymal Stem Cell Migration and Proliferation Are Mediated by Hypoxia-Inducible Factor-1α Upstream of Notch and SUMO Pathways. Stem Cells and Development. 26(13). 973–985. 55 indexed citations
15.
González‐King, Hernán, et al.. (2017). Hypoxia Inducible Factor-1α Potentiates Jagged 1-Mediated Angiogenesis by Mesenchymal Stem Cell-Derived Exosomes. Stem Cells. 35(7). 1747–1759. 291 indexed citations
16.
García, Nahuel Aquiles, Imelda Ontoria‐Oviedo, Hernán González‐King, Antonio Díez‐Juan, & Pilar Sepúlveda. (2015). Glucose Starvation in Cardiomyocytes Enhances Exosome Secretion and Promotes Angiogenesis in Endothelial Cells. PLoS ONE. 10(9). e0138849–e0138849. 187 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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