Diego Acosta‐Alvear

5.0k total citations · 3 hit papers
29 papers, 3.4k citations indexed

About

Diego Acosta‐Alvear is a scholar working on Molecular Biology, Cell Biology and Biotechnology. According to data from OpenAlex, Diego Acosta‐Alvear has authored 29 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Cell Biology and 5 papers in Biotechnology. Recurrent topics in Diego Acosta‐Alvear's work include Endoplasmic Reticulum Stress and Disease (16 papers), RNA regulation and disease (7 papers) and Ubiquitin and proteasome pathways (5 papers). Diego Acosta‐Alvear is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (16 papers), RNA regulation and disease (7 papers) and Ubiquitin and proteasome pathways (5 papers). Diego Acosta‐Alvear collaborates with scholars based in United States, Germany and Canada. Diego Acosta‐Alvear's co-authors include Peter Walter, Brian David Dynlacht, Alexandre Blais, Mary Tsikitis, Yuval Kluger, G Elif Karagöz, Carolina Arias, Avi Ashkenazi, Nathan H. Lents and Yiming Zhou and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Diego Acosta‐Alvear

28 papers receiving 3.3k citations

Hit Papers

XBP1 Controls Diverse Cel... 2007 2026 2013 2019 2007 2013 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Acosta‐Alvear United States 20 2.1k 1.8k 922 348 341 29 3.4k
Yanjun Ma United States 16 1.6k 0.8× 2.1k 1.2× 1.1k 1.1× 388 1.1× 485 1.4× 25 3.2k
Thore Hettmann United States 14 2.0k 1.0× 1.7k 0.9× 724 0.8× 488 1.4× 328 1.0× 22 3.5k
Jenna L. Jewell United States 19 2.6k 1.3× 1.9k 1.0× 472 0.5× 338 1.0× 477 1.4× 29 4.3k
Katarzyna Mnich Ireland 17 1.6k 0.8× 1.1k 0.6× 538 0.6× 298 0.9× 157 0.5× 24 2.7k
Hélène Zinszner United States 11 2.1k 1.0× 2.0k 1.1× 921 1.0× 463 1.3× 414 1.2× 11 3.7k
Hai‐Xin Yuan China 22 2.8k 1.3× 2.0k 1.1× 1.8k 2.0× 304 0.9× 256 0.8× 45 5.0k
Diego Rojas‐Rivera Chile 17 1.1k 0.5× 1.1k 0.6× 814 0.9× 315 0.9× 220 0.6× 25 2.0k
Junko Sasaki Japan 25 1.7k 0.8× 647 0.4× 565 0.6× 307 0.9× 272 0.8× 53 2.8k
Katiuscia Bianchi United Kingdom 17 2.7k 1.3× 871 0.5× 1.2k 1.2× 586 1.7× 258 0.8× 27 4.1k
Robert Gourlay United Kingdom 25 2.2k 1.1× 571 0.3× 1.1k 1.2× 265 0.8× 197 0.6× 40 3.3k

Countries citing papers authored by Diego Acosta‐Alvear

Since Specialization
Citations

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

Fields of papers citing papers by Diego Acosta‐Alvear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Acosta‐Alvear. 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 Diego Acosta‐Alvear. The network helps show where Diego Acosta‐Alvear may publish in the future.

Co-authorship network of co-authors of Diego Acosta‐Alvear

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Acosta‐Alvear. A scholar is included among the top collaborators of Diego Acosta‐Alvear 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 Diego Acosta‐Alvear. Diego Acosta‐Alvear 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.
Zappa, Francesca, et al.. (2025). The integrated stress response engages a cell-autonomous, ligand-independent, DR5-driven apoptosis switch. Cell Death and Disease. 16(1). 101–101. 3 indexed citations
2.
Acosta‐Alvear, Diego, Jonathan M. Harnoss, Peter Walter, & Avi Ashkenazi. (2024). Homeostasis control in health and disease by the unfolded protein response. Nature Reviews Molecular Cell Biology. 26(3). 193–212. 29 indexed citations
3.
Solley, Sabrina C., Elena Polishchuk, Julien Bacal, et al.. (2024). Baseline unfolded protein response signaling adjusts the timing of the mammalian cell cycle. Molecular Biology of the Cell. 35(6). br12–br12. 3 indexed citations
4.
Zappa, Francesca, et al.. (2023). Optogenetic control of the integrated stress response reveals proportional encoding and the stress memory landscape. Cell Systems. 14(7). 551–562.e5. 11 indexed citations
5.
Zappa, Francesca, et al.. (2022). Signaling by the integrated stress response kinase PKR is fine-tuned by dynamic clustering. The Journal of Cell Biology. 221(7). 28 indexed citations
6.
Acosta‐Alvear, Diego. (2022). Common signaling principles and interconnectivity in the ISR‐UPR networks. The FASEB Journal. 36(S1).
7.
Rauch, Jennifer N., Morgane Audouard, Eric Valois, et al.. (2022). CREST, a Cas13‐Based, Rugged, Equitable, Scalable Testing (CREST) for SARS‐CoV‐2 Detection in Patient Samples. Current Protocols. 2(2). e385–e385. 3 indexed citations
8.
Solley, Sabrina C., Francesca Zappa, & Diego Acosta‐Alvear. (2020). Regulation of the mammalian cell cycle by the unfolded protein response. The FASEB Journal. 34(S1). 1–1. 1 indexed citations
9.
Karagöz, G Elif, Diego Acosta‐Alvear, & Peter Walter. (2019). The Unfolded Protein Response: Detecting and Responding to Fluctuations in the Protein-Folding Capacity of the Endoplasmic Reticulum. Cold Spring Harbor Perspectives in Biology. 11(9). a033886–a033886. 208 indexed citations
10.
Karagöz, G Elif, Jirka Peschek, Peter Walter, & Diego Acosta‐Alvear. (2019). In vitro RNA Cleavage Assays to Characterize IRE1-dependent RNA Decay. BIO-PROTOCOL. 9(14). e3307–e3307. 1 indexed citations
11.
Acosta‐Alvear, Diego, G Elif Karagöz, Florian Fröhlich, et al.. (2018). The unfolded protein response and endoplasmic reticulum protein targeting machineries converge on the stress sensor IRE1. eLife. 7. 71 indexed citations
12.
Karagöz, G Elif, et al.. (2017). An unfolded protein-induced conformational switch activates mammalian IRE1. eLife. 6. 162 indexed citations
13.
Tufanlı, Özlem, Pelin Telkoparan‐Akillilar, Diego Acosta‐Alvear, et al.. (2017). Targeting IRE1 with small molecules counteracts progression of atherosclerosis. Proceedings of the National Academy of Sciences. 114(8). E1395–E1404. 155 indexed citations
14.
Sherbenou, Daniel W., Blake T. Aftab, Su Yang, et al.. (2016). Antibody-drug conjugate targeting CD46 eliminates multiple myeloma cells. Journal of Clinical Investigation. 126(12). 4640–4653. 83 indexed citations
15.
Li, Xiaokai, Teresa A. Colvin, Jennifer N. Rauch, et al.. (2015). Validation of the Hsp70–Bag3 Protein–Protein Interaction as a Potential Therapeutic Target in Cancer. Molecular Cancer Therapeutics. 14(3). 642–648. 101 indexed citations
16.
Peschek, Jirka, Diego Acosta‐Alvear, Aaron S. Mendez, & Peter Walter. (2015). A conformational RNA zipper promotes intron ejection during non‐conventional XBP 1 mRNA splicing. EMBO Reports. 16(12). 1688–1698. 35 indexed citations
17.
Lu, Min, David A. Lawrence, Scot A. Marsters, et al.. (2014). Opposing unfolded-protein-response signals converge on death receptor 5 to control apoptosis. Science. 345(6192). 98–101. 447 indexed citations breakdown →
18.
Asp, Patrik, Diego Acosta‐Alvear, Mary Tsikitis, Chris van Oevelen, & Brian David Dynlacht. (2009). E2f3b plays an essential role in myogenic differentiation through isoform-specific gene regulation. Genes & Development. 23(1). 37–53. 51 indexed citations
19.
Acosta‐Alvear, Diego, Yiming Zhou, Alexandre Blais, et al.. (2007). XBP1 Controls Diverse Cell Type- and Condition-Specific Transcriptional Regulatory Networks. Molecular Cell. 27(1). 53–66. 665 indexed citations breakdown →
20.
Blais, Alexandre, Mary Tsikitis, Diego Acosta‐Alvear, et al.. (2005). An initial blueprint for myogenic differentiation. Genes & Development. 19(5). 553–569. 362 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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