Joaquı́n M. Espinosa

12.4k total citations · 2 hit papers
139 papers, 7.7k citations indexed

About

Joaquı́n M. Espinosa is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Joaquı́n M. Espinosa has authored 139 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 44 papers in Oncology and 19 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Joaquı́n M. Espinosa's work include Cancer-related Molecular Pathways (37 papers), RNA modifications and cancer (23 papers) and Epigenetics and DNA Methylation (23 papers). Joaquı́n M. Espinosa is often cited by papers focused on Cancer-related Molecular Pathways (37 papers), RNA modifications and cancer (23 papers) and Epigenetics and DNA Methylation (23 papers). Joaquı́n M. Espinosa collaborates with scholars based in United States, Spain and Argentina. Joaquı́n M. Espinosa's co-authors include Matthew D. Galbraith, Beverly M. Emerson, Kelly D. Sullivan, Aaron J. Donner, Zdeněk Andrysík, Dylan J. Taatjes, S.A. Szostek, Ryan E. Henry, Ahwan Pandey and Nathan Gomes and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Joaquı́n M. Espinosa

136 papers receiving 7.7k citations

Hit Papers

The Histone Deacetylase S... 2010 2026 2015 2020 2010 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joaquı́n M. Espinosa United States 43 5.1k 2.1k 1.4k 838 659 139 7.7k
Santo V. Nicosia United States 43 4.6k 0.9× 2.2k 1.1× 1.9k 1.4× 397 0.5× 539 0.8× 117 8.6k
Hua Lu United States 51 7.4k 1.4× 3.7k 1.8× 1.5k 1.1× 622 0.7× 596 0.9× 225 10.1k
Björn Schumacher Germany 38 4.1k 0.8× 953 0.5× 816 0.6× 381 0.5× 439 0.7× 129 6.7k
Jan van Deursen United States 40 4.4k 0.9× 1.3k 0.6× 753 0.5× 1.2k 1.4× 1.4k 2.2× 71 8.3k
Takeshi Uchiumi Japan 55 5.6k 1.1× 3.2k 1.5× 1.1k 0.8× 874 1.0× 573 0.9× 201 9.1k
Kay F. Macleod United States 39 6.5k 1.3× 2.1k 1.0× 1.9k 1.4× 4.3k 5.2× 787 1.2× 73 10.6k
Zhiyong Mao China 29 3.1k 0.6× 978 0.5× 550 0.4× 528 0.6× 269 0.4× 69 4.7k
Wenwei Hu United States 57 7.5k 1.5× 4.7k 2.2× 3.8k 2.8× 1.1k 1.3× 1.1k 1.7× 142 11.7k
Arnim Pause Canada 47 8.2k 1.6× 885 0.4× 1.9k 1.4× 1.2k 1.4× 740 1.1× 79 10.6k
Yi Liu China 45 5.2k 1.0× 1.3k 0.6× 1.1k 0.8× 622 0.7× 1.5k 2.2× 247 8.4k

Countries citing papers authored by Joaquı́n M. Espinosa

Since Specialization
Citations

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

Fields of papers citing papers by Joaquı́n M. Espinosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joaquı́n M. Espinosa

This figure shows the co-authorship network connecting the top 25 collaborators of Joaquı́n M. Espinosa. A scholar is included among the top collaborators of Joaquı́n M. Espinosa 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 Joaquı́n M. Espinosa. Joaquı́n M. Espinosa 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.
Santoro, Jonathan D., Saba Jafarpour, Natalie K. Boyd, et al.. (2025). Evidence of blood–brain barrier dysfunction and CSF immunoglobulin synthesis in Down Syndrome Regression Disorder. Annals of Clinical and Translational Neurology. 12(4). 805–820.
2.
Sillau, Stefan, Christina Coughlan, Md. Mahiuddin Ahmed, et al.. (2025). Blood measure of neuronal death is exponentially higher with age, especially in females, and halted in Alzheimer’s disease by GM-CSF treatment. Cell Reports Medicine. 7(1). 102525–102525.
3.
Ryan, Sinéad, Louise Crowe, Matthew D. Galbraith, et al.. (2024). Metabolic dysfunction mediated by HIF-1α contributes to epithelial differentiation defects in eosinophilic esophagitis. Journal of Allergy and Clinical Immunology. 154(6). 1472–1488. 2 indexed citations
4.
Santoro, Jonathan D., Saba Jafarpour, Natalie K. Boyd, et al.. (2024). Neuroimaging abnormalities associated with immunotherapy responsiveness in Down syndrome regression disorder. Annals of Clinical and Translational Neurology. 11(4). 1034–1045. 4 indexed citations
5.
Rachubinski, Angela L., Lina Patel, Ryan Kammeyer, et al.. (2024). JAK inhibition in Down Syndrome Regression Disorder. Journal of Neuroimmunology. 395. 578442–578442. 2 indexed citations
6.
Ludwig, Michael P., Matthew D. Galbraith, Amanda A. Hill, et al.. (2023). Proteasome Inhibition Sensitizes Liposarcoma to MDM2 Inhibition with Nutlin-3 by Activating the ATF4/CHOP Stress Response Pathway. Cancer Research. 83(15). 2543–2556. 8 indexed citations
7.
Galbraith, Matthew D., Angela L. Rachubinski, Keith P. Smith, et al.. (2023). Multidimensional definition of the interferonopathy of Down syndrome and its response to JAK inhibition. Science Advances. 9(26). eadg6218–eadg6218. 26 indexed citations
8.
Espinosa, Joaquı́n M., Kelly D. Sullivan, Andrew Goodspeed, et al.. (2023). Down syndrome is associated with altered frequency and functioning of tracheal multiciliated cells, and response to influenza virus infection. iScience. 26(8). 107361–107361. 2 indexed citations
9.
Jewett, Cayla E, Eileen O’Toole, Katherine S. Given, et al.. (2022). Trisomy 21 induces pericentrosomal crowding delaying primary ciliogenesis and mouse cerebellar development. eLife. 12. 9 indexed citations
10.
Galbraith, Matthew D., Kohl T. Kinning, Kelly D. Sullivan, et al.. (2021). Seroconversion stages COVID19 into distinct pathophysiological states. eLife. 10. 34 indexed citations
11.
Joshi, Molishree, Ahwan Pandey, Martı́n C. Abba, et al.. (2021). USP19 modulates cancer cell migration and invasion and acts as a novel prognostic marker in patients with early breast cancer. Oncogenesis. 10(3). 28–28. 19 indexed citations
12.
Joshi, Molishree, et al.. (2021). HERC1 Regulates Breast Cancer Cells Migration and Invasion. Cancers. 13(6). 1309–1309. 11 indexed citations
13.
Tuttle, Kathryn D., Katherine A. Waugh, Paula Araya, et al.. (2020). JAK1 Inhibition Blocks Lethal Immune Hypersensitivity in a Mouse Model of Down Syndrome. Cell Reports. 33(7). 108407–108407. 31 indexed citations
14.
Oliphant, Michael, Matthew D. Galbraith, Ahwan Pandey, et al.. (2019). SIX2 Mediates Late-Stage Metastasis via Direct Regulation of SOX2 and Induction of a Cancer Stem Cell Program. Cancer Research. 79(4). 720–734. 34 indexed citations
15.
Andrysík, Zdeněk, Matthew D. Galbraith, Anna L. Guarnieri, et al.. (2017). Identification of a core TP53 transcriptional program with highly distributed tumor suppressive activity. Genome Research. 27(10). 1645–1657. 108 indexed citations
16.
Culp‐Hill, Rachel, Connie Zheng, Julie A. Reisz, et al.. (2017). Red blood cell metabolism in Down syndrome: hints on metabolic derangements in aging. Blood Advances. 1(27). 2776–2780. 28 indexed citations
17.
Espinosa, Joaquı́n M., Mario Rossi, Eva Serna, et al.. (2016). The NSL Chromatin-Modifying Complex Subunit KANSL2 Regulates Cancer Stem–like Properties in Glioblastoma That Contribute to Tumorigenesis. Cancer Research. 76(18). 5383–5394. 14 indexed citations
18.
Tentler, John J., Aik Choon Tan, Todd M. Pitts, et al.. (2015). p53 Family Members Regulate Phenotypic Response to Aurora Kinase A Inhibition in Triple-Negative Breast Cancer. Molecular Cancer Therapeutics. 14(5). 1117–1129. 39 indexed citations
19.
Andrysík, Zdeněk, Jihye Kim, Aik Choon Tan, & Joaquı́n M. Espinosa. (2013). A Genetic Screen Identifies TCF3/E2A and TRIAP1 as Pathway-Specific Regulators of the Cellular Response to p53 Activation. Cell Reports. 3(5). 1346–1354. 58 indexed citations
20.
Emerson, Beverly M. & Joaquı́n M. Espinosa. (2006). Transcriptional regulation by p53 during apoptosis.. Cancer Research. 66. 1359–1359. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026