Mario R. Blanco

4.1k total citations · 2 hit papers
19 papers, 2.1k citations indexed

About

Mario R. Blanco is a scholar working on Molecular Biology, Cancer Research and Social Psychology. According to data from OpenAlex, Mario R. Blanco has authored 19 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Cancer Research and 1 paper in Social Psychology. Recurrent topics in Mario R. Blanco's work include RNA Research and Splicing (17 papers), RNA and protein synthesis mechanisms (12 papers) and RNA modifications and cancer (9 papers). Mario R. Blanco is often cited by papers focused on RNA Research and Splicing (17 papers), RNA and protein synthesis mechanisms (12 papers) and RNA modifications and cancer (9 papers). Mario R. Blanco collaborates with scholars based in United States and France. Mario R. Blanco's co-authors include Nils G. Walter, Mitchell Guttman, Amy Chow, Patrick McDonel, Christine Surka, Kathrin Plath, Julia Su, Colleen A. McHugh, Chun‐Kan Chen and A.A. Shishkin and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mario R. Blanco

19 papers receiving 2.1k citations

Hit Papers

The Xist lncRNA interacts... 2015 2026 2018 2022 2015 2021 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
Mario R. Blanco United States 14 1.8k 716 293 99 96 19 2.1k
Christine Clemson United States 11 2.7k 1.5× 1.7k 2.4× 648 2.2× 121 1.2× 202 2.1× 27 3.5k
Song Guo China 13 1.1k 0.6× 375 0.5× 257 0.9× 88 0.9× 93 1.0× 20 1.6k
Pierre‐Luc Germain Switzerland 18 861 0.5× 185 0.3× 169 0.6× 40 0.4× 31 0.3× 42 1.3k
Charles R. Bradshaw United Kingdom 26 2.5k 1.4× 125 0.2× 394 1.3× 47 0.5× 187 1.9× 45 3.4k
Rockwell Anyoha United States 5 863 0.5× 98 0.1× 226 0.8× 61 0.6× 88 0.9× 5 1.2k
Jörg Heierhorst Australia 33 2.3k 1.3× 328 0.5× 221 0.8× 229 2.3× 126 1.3× 73 2.9k
Eirene Markenscoff-Papadimitriou United States 10 2.2k 1.2× 708 1.0× 403 1.4× 20 0.2× 158 1.6× 11 2.8k
Kathleen A. Worringer United States 11 2.0k 1.1× 302 0.4× 685 2.3× 20 0.2× 133 1.4× 14 2.8k
Anna C. Groner Switzerland 14 1.1k 0.6× 114 0.2× 185 0.6× 115 1.2× 100 1.0× 19 1.6k
Suzanne Rademakers Netherlands 19 1.7k 1.0× 307 0.4× 408 1.4× 124 1.3× 114 1.2× 23 2.3k

Countries citing papers authored by Mario R. Blanco

Since Specialization
Citations

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

Fields of papers citing papers by Mario R. Blanco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario R. Blanco. 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 Mario R. Blanco. The network helps show where Mario R. Blanco may publish in the future.

Co-authorship network of co-authors of Mario R. Blanco

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

All Works

19 of 19 papers shown
1.
Guo, Jimmy K., Mario R. Blanco, Isabel N. Goronzy, et al.. (2025). SPIDR enables multiplexed mapping of RNA-protein interactions and uncovers a mechanism for selective translational suppression upon cell stress. Cell. 188(19). 5384–5402.e25. 3 indexed citations
2.
Guo, Jimmy K., Mario R. Blanco, Ward G. Walkup, et al.. (2024). Denaturing purifications demonstrate that PRC2 and other widely reported chromatin proteins do not appear to bind directly to RNA in vivo. Molecular Cell. 84(7). 1271–1289.e12. 44 indexed citations
3.
Perez, Andrew, et al.. (2024). ChIP-DIP maps binding of hundreds of proteins to DNA simultaneously and identifies diverse gene regulatory elements. Nature Genetics. 56(12). 2827–2841. 7 indexed citations
4.
Bhat, Prashant, Amy Chow, Benjamin Emert, et al.. (2024). Genome organization around nuclear speckles drives mRNA splicing efficiency. Nature. 629(8014). 1165–1173. 51 indexed citations
5.
Guo, Jimmy K., Mario R. Blanco, & Mitchell Guttman. (2024). PRC2-RNA interactions: Viewpoint from Jimmy K. Guo, Mario R. Blanco, and Mitchell Guttman. Molecular Cell. 84(19). 3578–3585. 2 indexed citations
6.
Jachowicz, Joanna W., et al.. (2022). Xist spatially amplifies SHARP/SPEN recruitment to balance chromosome-wide silencing and specificity to the X chromosome. Nature Structural & Molecular Biology. 29(3). 239–249. 70 indexed citations
7.
Quinodoz, Sofia A., Joanna W. Jachowicz, Prashant Bhat, et al.. (2021). RNA promotes the formation of spatial compartments in the nucleus. Cell. 184(23). 5775–5790.e30. 231 indexed citations breakdown →
8.
Zelikowsky, Moriel, May Hui, Tomomi Karigo, et al.. (2018). The Neuropeptide Tac2 Controls a Distributed Brain State Induced by Chronic Social Isolation Stress. Cell. 173(5). 1265–1279.e19. 190 indexed citations
9.
Blanco, Mario R., Erik Aznauryan, Noah Ollikainen, et al.. (2016). Xist recruits the X chromosome to the nuclear lamina to enable chromosome-wide silencing. Science. 354(6311). 468–472. 193 indexed citations
10.
Semlow, Daniel R., Mario R. Blanco, Nils G. Walter, & Jonathan P. Staley. (2016). Spliceosomal DEAH-Box ATPases Remodel Pre-mRNA to Activate Alternative Splice Sites. Cell. 164(5). 985–998. 120 indexed citations
11.
Blanco, Mario R., et al.. (2016). Putting Humpty–Dumpty Together. Methods in enzymology on CD-ROM/Methods in enzymology. 581. 257–283. 2 indexed citations
12.
Lund, Paul E., et al.. (2016). The Shine-Dalgarno sequence of riboswitch-regulated single mRNAs shows ligand-dependent accessibility bursts. Nature Communications. 7(1). 8976–8976. 51 indexed citations
13.
McHugh, Colleen A., Chun‐Kan Chen, Amy Chow, et al.. (2015). The Xist lncRNA interacts directly with SHARP to silence transcription through HDAC3. RePEc: Research Papers in Economics. 3 indexed citations
14.
McHugh, Colleen A., Chun‐Kan Chen, Amy Chow, et al.. (2015). The Xist lncRNA interacts directly with SHARP to silence transcription through HDAC3. Nature. 521(7551). 232–236. 837 indexed citations breakdown →
15.
Blanco, Mario R., Joshua S. Martin, Ramya Krishnan, et al.. (2015). Single Molecule Cluster Analysis dissects splicing pathway conformational dynamics. Nature Methods. 12(11). 1077–1084. 29 indexed citations
16.
Krishnan, Ramya, et al.. (2013). Biased Brownian ratcheting leads to pre-mRNA remodeling and capture prior to first-step splicing. Nature Structural & Molecular Biology. 20(12). 1450–1457. 56 indexed citations
17.
Abelson, John, Mario R. Blanco, Mark A. Ditzler, et al.. (2010). Conformational dynamics of single pre-mRNA molecules during in vitro splicing. Nature Structural & Molecular Biology. 17(4). 504–512. 79 indexed citations
18.
Blanco, Mario R. & Nils G. Walter. (2010). Analysis of Complex Single-Molecule FRET Time Trajectories. Methods in enzymology on CD-ROM/Methods in enzymology. 472. 153–178. 125 indexed citations
19.
Liang, Bo, Elliot Kahen, Kate Calvin, et al.. (2008). Long-distance placement of substrate RNA by H/ACA proteins. RNA. 14(10). 2086–2094. 22 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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