Diego Garrido Ruiz

499 total citations
9 papers, 232 citations indexed

About

Diego Garrido Ruiz is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Diego Garrido Ruiz has authored 9 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Hematology. Recurrent topics in Diego Garrido Ruiz's work include Chronic Lymphocytic Leukemia Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). Diego Garrido Ruiz is often cited by papers focused on Chronic Lymphocytic Leukemia Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). Diego Garrido Ruiz collaborates with scholars based in United States, Germany and France. Diego Garrido Ruiz's co-authors include Matthew P. Jacobson, Diane L. Barber, Katharine A. White, Ryan D. Hernandez, Nicolas Strauli, Zachary A. Szpiech, Neil P. Shah, Na Zhang, Wilian A. Cortopassi and Kibeom Jang and has published in prestigious journals such as Nucleic Acids Research, Blood and Molecular Cell.

In The Last Decade

Diego Garrido Ruiz

8 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Garrido Ruiz United States 7 145 34 31 25 22 9 232
Edward Cochran United States 6 102 0.7× 21 0.6× 37 1.2× 15 0.6× 20 0.9× 9 258
Kazuto Nunomura Japan 10 255 1.8× 16 0.5× 45 1.5× 43 1.7× 13 0.6× 22 363
Kévin Adam United States 8 290 2.0× 46 1.4× 78 2.5× 26 1.0× 15 0.7× 11 360
Raphael Heilig United Kingdom 10 271 1.9× 101 3.0× 27 0.9× 25 1.0× 8 0.4× 18 418
Catherine Ibarra United States 12 227 1.6× 45 1.3× 49 1.6× 22 0.9× 22 1.0× 14 320
Aaron Maurais United States 7 204 1.4× 56 1.6× 71 2.3× 29 1.2× 15 0.7× 8 364
Cordelle Tanega United States 7 272 1.9× 59 1.7× 81 2.6× 20 0.8× 11 0.5× 11 374
Katherine S. England United Kingdom 6 315 2.2× 32 0.9× 36 1.2× 10 0.4× 10 0.5× 9 400
Kalyana Moparthy United States 6 233 1.6× 43 1.3× 38 1.2× 24 1.0× 33 1.5× 6 280
Deepali Gotur United States 6 153 1.1× 56 1.6× 26 0.8× 9 0.4× 31 1.4× 13 223

Countries citing papers authored by Diego Garrido Ruiz

Since Specialization
Citations

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

Fields of papers citing papers by Diego Garrido Ruiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Garrido Ruiz. 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 Garrido Ruiz. The network helps show where Diego Garrido Ruiz may publish in the future.

Co-authorship network of co-authors of Diego Garrido Ruiz

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

All Works

9 of 9 papers shown
1.
Ruiz, Diego Garrido, et al.. (2025). A role for pH dynamics regulating transcription factor DNA-binding selectivity. Nucleic Acids Research. 53(10). 1 indexed citations
2.
Ruiz, Diego Garrido, RosaAnna DeFilippis, Delphine Réa, et al.. (2024). BCR::ABL1 kinase N-lobe mutants confer moderate to high degrees of resistance to asciminib. Blood. 144(6). 639–645. 15 indexed citations
3.
Ruiz, Diego Garrido, et al.. (2022). Cysteine Oxidation in Proteins: Structure, Biophysics, and Simulation. Biochemistry. 61(20). 2165–2176. 77 indexed citations
4.
Li, Weihan, Diego Garrido Ruiz, Mark Voorhies, et al.. (2021). Protomer alignment modulates specificity of RNA substrate recognition by Ire1. eLife. 10. 8 indexed citations
5.
Li, Weihan, et al.. (2020). Regulating ER protein homeostasis by differentially processing mRNAs. The FASEB Journal. 34(S1). 1–1.
6.
Cortopassi, Wilian A., Diego Garrido Ruiz, Kibeom Jang, et al.. (2019). ATP-Competitive Inhibitors Midostaurin and Avapritinib Have Distinct Resistance Profiles in Exon 17–Mutant KIT. Cancer Research. 79(16). 4283–4292. 26 indexed citations
7.
Ali, Ibraheem, Diego Garrido Ruiz, Zuyao Ni, et al.. (2019). Crosstalk between RNA Pol II C-Terminal Domain Acetylation and Phosphorylation via RPRD Proteins. Molecular Cell. 74(6). 1164–1174.e4. 22 indexed citations
8.
White, Katharine A., Diego Garrido Ruiz, Zachary A. Szpiech, et al.. (2017). Cancer-associated arginine-to-histidine mutations confer a gain in pH sensing to mutant proteins. Science Signaling. 10(495). 55 indexed citations
9.
Szpiech, Zachary A., Nicolas Strauli, Katharine A. White, et al.. (2017). Prominent features of the amino acid mutation landscape in cancer. PLoS ONE. 12(8). e0183273–e0183273. 28 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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