Íñigo Valiente-Alandí

1.7k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Íñigo Valiente-Alandí is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Íñigo Valiente-Alandí has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Íñigo Valiente-Alandí's work include Cardiac Fibrosis and Remodeling (9 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Protease and Inhibitor Mechanisms (3 papers). Íñigo Valiente-Alandí is often cited by papers focused on Cardiac Fibrosis and Remodeling (9 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Protease and Inhibitor Mechanisms (3 papers). Íñigo Valiente-Alandí collaborates with scholars based in United States and Spain. Íñigo Valiente-Alandí's co-authors include Burns C. Blaxall, Jeffery D. Molkentin, Michelle A. Sargent, Allison Schafer, Ronald J. Vagnozzi, Xing Fu, Bryan D. Maliken, Hadi Khalil, Vikram Prasad and Onur Kanisicak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Íñigo Valiente-Alandí

15 papers receiving 1.2k citations

Hit Papers

Specialized fibroblast di... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Íñigo Valiente-Alandí United States 12 686 591 326 148 146 15 1.2k
Ryan J. Debuque Australia 7 738 1.1× 690 1.2× 407 1.2× 112 0.8× 93 0.6× 9 1.3k
Paola Cattaneo Italy 14 866 1.3× 307 0.5× 262 0.8× 113 0.8× 152 1.0× 17 1.3k
Paige Snider United States 17 1.0k 1.5× 688 1.2× 455 1.4× 224 1.5× 167 1.1× 36 1.8k
Peter Andersen United States 18 942 1.4× 307 0.5× 360 1.1× 277 1.9× 111 0.8× 41 1.6k
Kate M. Herum Norway 13 388 0.6× 422 0.7× 240 0.7× 174 1.2× 126 0.9× 19 971
Munira Xaymardan Australia 14 687 1.0× 424 0.7× 475 1.5× 112 0.8× 96 0.7× 26 1.2k
Elad Bassat Israel 10 1000 1.5× 377 0.6× 452 1.4× 236 1.6× 153 1.0× 11 1.6k
Indroneal Banerjee United States 13 1.1k 1.5× 993 1.7× 559 1.7× 208 1.4× 132 0.9× 14 1.9k
Susanne W.M. van den Borne Netherlands 6 452 0.7× 605 1.0× 305 0.9× 168 1.1× 117 0.8× 6 965
Jennifer A. Schwanekamp United States 11 866 1.3× 506 0.9× 341 1.0× 63 0.4× 83 0.6× 13 1.3k

Countries citing papers authored by Íñigo Valiente-Alandí

Since Specialization
Citations

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

Fields of papers citing papers by Íñigo Valiente-Alandí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Íñigo Valiente-Alandí. 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 Íñigo Valiente-Alandí. The network helps show where Íñigo Valiente-Alandí may publish in the future.

Co-authorship network of co-authors of Íñigo Valiente-Alandí

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

All Works

15 of 15 papers shown
1.
Adam, Mike, Andrew Potter, Qing Ma, et al.. (2024). Single-cell sequencing dissects the transcriptional identity of activated fibroblasts and identifies novel persistent distal tubular injury patterns in kidney fibrosis. Scientific Reports. 14(1). 439–439. 11 indexed citations
2.
Korody, Marisa L., et al.. (2021). Rewinding Extinction in the Northern White Rhinoceros: Genetically Diverse Induced Pluripotent Stem Cell Bank for Genetic Rescue. Stem Cells and Development. 30(4). 177–189. 23 indexed citations
3.
Hortells, Luis, Íñigo Valiente-Alandí, Zachary M. Thomas, et al.. (2020). A specialized population of Periostin-expressing cardiac fibroblasts contributes to postnatal cardiomyocyte maturation and innervation. Proceedings of the National Academy of Sciences. 117(35). 21469–21479. 47 indexed citations
4.
DePasquale, Erica A. K., Daniel Schnell, Phillip J. Dexheimer, et al.. (2019). cellHarmony: cell-level matching and holistic comparison of single-cell transcriptomes. Nucleic Acids Research. 47(21). e138–e138. 42 indexed citations
5.
DePasquale, Erica A. K., Daniel Schnell, Pieter-Jan Van Camp, et al.. (2019). DoubletDecon: Deconvoluting Doublets from Single-Cell RNA-Sequencing Data. Cell Reports. 29(6). 1718–1727.e8. 113 indexed citations
6.
Meng, Qinghang, Md. Shenuarin Bhuiyan, J. Howard James, et al.. (2018). Myofibroblast-Specific TGFβ Receptor II Signaling in the Fibrotic Response to Cardiac Myosin Binding Protein C-Induced Cardiomyopathy. Circulation Research. 123(12). 1285–1297. 36 indexed citations
7.
Valiente-Alandí, Íñigo, Sarah J. Potter, Ane Salvador, et al.. (2018). Inhibiting Fibronectin Attenuates Fibrosis and Improves Cardiac Function in a Model of Heart Failure. Circulation. 138(12). 1236–1252. 198 indexed citations
8.
Meng, Qinghang, J. Howard James, Hanna Osińska, et al.. (2018). Cardiac Fibrosis in Proteotoxic Cardiac Disease is Dependent Upon Myofibroblast TGF‐β Signaling. Journal of the American Heart Association. 7(20). e010013–e010013. 34 indexed citations
9.
Fu, Xing, Hadi Khalil, Onur Kanisicak, et al.. (2018). Specialized fibroblast differentiated states underlie scar formation in the infarcted mouse heart. Journal of Clinical Investigation. 128(5). 2127–2143. 451 indexed citations breakdown →
10.
Travers, Joshua G., Fadia Kamal, Íñigo Valiente-Alandí, et al.. (2017). Pharmacological and Activated Fibroblast Targeting of Gβγ-GRK2 After Myocardial Ischemia Attenuates Heart Failure Progression. Journal of the American College of Cardiology. 70(8). 958–971. 48 indexed citations
11.
García, Nahuel Aquiles, Javier Moncayo, Alejandro Vázquez, et al.. (2017). Hydrogen Sulfide Improves Cardiomyocyte Function in a Cardiac Arrest Model. Annals of Transplantation. 22. 285–295. 7 indexed citations
12.
Valiente-Alandí, Íñigo, et al.. (2016). Bmi1 + cardiac progenitor cells contribute to myocardial repair following acute injury. Stem Cell Research & Therapy. 7(1). 100–100. 31 indexed citations
13.
Valiente-Alandí, Íñigo, Allison Schafer, & Burns C. Blaxall. (2016). Extracellular matrix-mediated cellular communication in the heart. Journal of Molecular and Cellular Cardiology. 91. 228–237. 125 indexed citations
14.
Schafer, Allison, Íñigo Valiente-Alandí, & Burns C. Blaxall. (2016). Abstract 409: Matrix Metalloproteinase-13 Inhibition is Protective in a Pressure Overload Model of Heart Failure. Circulation Research. 119(suppl_1). 1 indexed citations
15.
Valiente-Alandí, Íñigo, et al.. (2015). Cardiac Bmi1 + cells contribute to myocardial renewal in the murine adult heart. Stem Cell Research & Therapy. 6(1). 205–205. 30 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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