Daniel Cirera‐Salinas

1.9k total citations · 1 hit paper
17 papers, 1.5k citations indexed

About

Daniel Cirera‐Salinas is a scholar working on Molecular Biology, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Daniel Cirera‐Salinas has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Daniel Cirera‐Salinas's work include MicroRNA in disease regulation (8 papers), RNA Research and Splicing (6 papers) and Ocular Surface and Contact Lens (4 papers). Daniel Cirera‐Salinas is often cited by papers focused on MicroRNA in disease regulation (8 papers), RNA Research and Splicing (6 papers) and Ocular Surface and Contact Lens (4 papers). Daniel Cirera‐Salinas collaborates with scholars based in United States, Switzerland and Germany. Daniel Cirera‐Salinas's co-authors include Yajaira Suárez, Carlos Fernández‐Hernando, Cristina M. Ramírez, Leigh Goedeke, Alberto Dávalos, Nikhil Warrier, Alessandro G. Salerno, Enric Esplugues, Noemí Rotllán and Aránzazu Chamorro‐Jorganes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Journal of Molecular Biology.

In The Last Decade

Daniel Cirera‐Salinas

16 papers receiving 1.5k citations

Hit Papers

miR-33a/b contribute to the regulation of fatty acid meta... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Cirera‐Salinas United States 13 1.1k 1.0k 268 177 175 17 1.5k
Ryan M. Allen United States 18 1.0k 1.0× 1.2k 1.2× 302 1.1× 142 0.8× 190 1.1× 31 1.7k
Juan R. Alvarez‐Dominguez United States 14 1.2k 1.1× 1.3k 1.3× 164 0.6× 176 1.0× 184 1.1× 20 1.7k
He Chen China 19 1.6k 1.5× 1.7k 1.7× 145 0.5× 100 0.6× 142 0.8× 33 2.2k
Ahmed I. Abulsoud Egypt 30 1.4k 1.3× 1.4k 1.4× 216 0.8× 152 0.9× 104 0.6× 94 2.0k
Lisa Fujimura Japan 16 974 0.9× 1.2k 1.2× 90 0.3× 223 1.3× 186 1.1× 38 1.7k
Mengmeng Guo China 26 636 0.6× 1.0k 1.0× 73 0.3× 181 1.0× 446 2.5× 76 1.6k
Vasumathi Kameswaran United States 12 492 0.5× 671 0.7× 239 0.9× 63 0.4× 513 2.9× 16 1.4k
Lindsay B. McKenna United States 8 411 0.4× 556 0.6× 283 1.1× 45 0.3× 80 0.5× 9 906
I. Roland Belgium 7 475 0.4× 586 0.6× 68 0.3× 103 0.6× 111 0.6× 7 940

Countries citing papers authored by Daniel Cirera‐Salinas

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cirera‐Salinas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Cirera‐Salinas. 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 Cirera‐Salinas. The network helps show where Daniel Cirera‐Salinas may publish in the future.

Co-authorship network of co-authors of Daniel Cirera‐Salinas

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

All Works

17 of 17 papers shown
1.
Cirera‐Salinas, Daniel, et al.. (2025). Lubrication Mechanisms of the Ocular Surface. Current Ophthalmology Reports. 13(1).
2.
Cirera‐Salinas, Daniel, et al.. (2022). A Mucin-Deficient Ocular Surface Mimetic Platform for Interrogating Drug Effects on Biolubrication, Antiadhesion Properties, and Barrier Functionality. ACS Applied Materials & Interfaces. 14(16). 18016–18030. 10 indexed citations
3.
Cirera‐Salinas, Daniel, et al.. (2022). Effect of Recombinant Human Lubricin on Model Tear Film Stability. Translational Vision Science & Technology. 11(9). 9–9. 1 indexed citations
4.
Cirera‐Salinas, Daniel, et al.. (2021). Mucin‐Like Glycoproteins Modulate Interfacial Properties of a Mimetic Ocular Epithelial Surface. Advanced Science. 8(16). e2100841–e2100841. 19 indexed citations
5.
Ngondo, Richard Patryk, Daniel Cirera‐Salinas, Jian Yu, et al.. (2018). Argonaute 2 Is Required for Extra-embryonic Endoderm Differentiation of Mouse Embryonic Stem Cells. Stem Cell Reports. 10(2). 461–476. 25 indexed citations
6.
Cirera‐Salinas, Daniel, et al.. (2017). Noncanonical function of DGCR8 controls mESC exit from pluripotency. The Journal of Cell Biology. 216(2). 355–366. 26 indexed citations
7.
Cirera‐Salinas, Daniel, et al.. (2017). The Role of RNA Interference in Stem Cell Biology: Beyond the Mutant Phenotypes. Journal of Molecular Biology. 429(10). 1532–1543. 12 indexed citations
8.
Reguant, Anna Pascual, Claudia Baumann, Rebecca Noster, et al.. (2017). TH17 cells express ST2 and are controlled by the alarmin IL-33 in the small intestine. Mucosal Immunology. 10(6). 1431–1442. 56 indexed citations
9.
Cirera‐Salinas, Daniel, et al.. (2016). Dicer, a new regulator of pluripotency exit and LINE‐1 elements in mouse embryonic stem cells. FEBS Open Bio. 7(2). 204–220. 25 indexed citations
10.
Chamorro‐Jorganes, Aránzazu, Elisa Araldi, Noemí Rotllán, Daniel Cirera‐Salinas, & Yajaira Suárez. (2014). Autoregulation of glypican-1 by intronic microRNA-149 fine-tunes the angiogenic response to fibroblast growth factor in human endothelial cells. Journal of Cell Science. 127(Pt 6). 1169–78. 56 indexed citations
11.
Sehnert, Bettina, Daniel Cirera‐Salinas, Kristin Lucht, et al.. (2014). Abstract 406: Direct Angiotensin AT2-Receptor Stimulation Modifies T-Cell Differentiation. Hypertension. 64(suppl_1). 1 indexed citations
12.
Ramírez, Cristina M., Noemí Rotllán, Alexander V. Vlassov, et al.. (2013). Control of Cholesterol Metabolism and Plasma High-Density Lipoprotein Levels by microRNA-144. Circulation Research. 112(12). 1592–1601. 169 indexed citations
13.
Goedeke, Leigh, Michael Fenstermaker, Daniel Cirera‐Salinas, et al.. (2013). A Regulatory Role for MicroRNA 33* in Controlling Lipid Metabolism Gene Expression. Molecular and Cellular Biology. 33(11). 2339–2352. 123 indexed citations
14.
Ramírez, Cristina M., Leigh Goedeke, Noemí Rotllán, et al.. (2013). MicroRNA 33 Regulates Glucose Metabolism. Molecular and Cellular Biology. 33(15). 2891–2902. 128 indexed citations
15.
Cirera‐Salinas, Daniel, Montse Pauta, Ryan M. Allen, et al.. (2012). Mir-33 regulates cell proliferation and cell cycle progression. Cell Cycle. 11(5). 922–933. 142 indexed citations
16.
Dávalos, Alberto, Leigh Goedeke, Peter Smibert, et al.. (2011). miR-33a/b contribute to the regulation of fatty acid metabolism and insulin signaling. Proceedings of the National Academy of Sciences. 108(22). 9232–9237. 542 indexed citations breakdown →
17.
Ramírez, Cristina M., Alberto Dávalos, Leigh Goedeke, et al.. (2011). MicroRNA-758 Regulates Cholesterol Efflux Through Posttranscriptional Repression of ATP-Binding Cassette Transporter A1. Arteriosclerosis Thrombosis and Vascular Biology. 31(11). 2707–2714. 207 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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