Ángela Pollán

591 total citations · 1 hit paper
8 papers, 393 citations indexed

About

Ángela Pollán is a scholar working on Molecular Biology, Cancer Research and Immunology and Allergy. According to data from OpenAlex, Ángela Pollán has authored 8 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Immunology and Allergy. Recurrent topics in Ángela Pollán's work include Protease and Inhibitor Mechanisms (4 papers), Cell Adhesion Molecules Research (2 papers) and Autophagy in Disease and Therapy (1 paper). Ángela Pollán is often cited by papers focused on Protease and Inhibitor Mechanisms (4 papers), Cell Adhesion Molecules Research (2 papers) and Autophagy in Disease and Therapy (1 paper). Ángela Pollán collaborates with scholars based in Spain, Italy and Japan. Ángela Pollán's co-authors include Alicia G. Arroyo, Pilar Gonzalo, José Antonio Enrı́quez, Antonio L. Serrano, Xiaotong Hong, Beatriz G. Gálvez, A. Grande-García, Roberto Chiarle, Joan Isern and Salomón Matías‐Román and has published in prestigious journals such as Nature Communications, Circulation Research and The FASEB Journal.

In The Last Decade

Ángela Pollán

8 papers receiving 389 citations

Hit Papers

Mitochondrial dynamics maintain muscle stem cell regenera... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ángela Pollán Spain 7 209 134 87 57 53 8 393
Andrea Resovi Italy 10 252 1.2× 105 0.8× 86 1.0× 28 0.5× 61 1.2× 15 462
Denise Pinessi Italy 8 218 1.0× 93 0.7× 59 0.7× 25 0.4× 74 1.4× 9 384
Catharina Conrad Germany 11 190 0.9× 106 0.8× 209 2.4× 89 1.6× 62 1.2× 18 501
Maria Grazia Cipolleschi Italy 14 178 0.9× 121 0.9× 72 0.8× 24 0.4× 74 1.4× 21 436
Martin J. Siemerink Netherlands 10 263 1.3× 87 0.6× 81 0.9× 42 0.7× 60 1.1× 12 508
Roxane M. Pommier France 11 224 1.1× 107 0.8× 149 1.7× 38 0.7× 73 1.4× 19 443
Sanna‐Maria Karppinen Finland 14 398 1.9× 124 0.9× 164 1.9× 46 0.8× 27 0.5× 23 606
Sateesh Kunigal United States 10 290 1.4× 123 0.9× 153 1.8× 18 0.3× 68 1.3× 19 567
Melane Fehrenbach United States 8 228 1.1× 58 0.4× 62 0.7× 62 1.1× 64 1.2× 13 450
Masahiro Ryuto Japan 5 304 1.5× 147 1.1× 87 1.0× 48 0.8× 72 1.4× 6 464

Countries citing papers authored by Ángela Pollán

Since Specialization
Citations

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

Fields of papers citing papers by Ángela Pollán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ángela Pollán. 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 Ángela Pollán. The network helps show where Ángela Pollán may publish in the future.

Co-authorship network of co-authors of Ángela Pollán

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

All Works

8 of 8 papers shown
1.
Hong, Xiaotong, Joan Isern, Silvia Campanario, et al.. (2022). Mitochondrial dynamics maintain muscle stem cell regenerative competence throughout adult life by regulating metabolism and mitophagy. Cell stem cell. 29(9). 1298–1314.e10. 117 indexed citations breakdown →
2.
Clemente, Cristina, Cristina Rius, Laura Alonso-Herranz, et al.. (2018). MT4-MMP deficiency increases patrolling monocyte recruitment to early lesions and accelerates atherosclerosis. Nature Communications. 9(1). 910–910. 35 indexed citations
3.
Gonzalo, Pilar, Ángela Pollán, N. Núñez‐Andrade, et al.. (2015). P030. Analysis of the protease MT1-MMP as therapeutic target in IBD. Journal of Crohn s and Colitis. 9(suppl 1). S92–S92. 1 indexed citations
4.
García‐Redondo, Ana B., Dongchuan Guo, Emilio Camafeita, et al.. (2015). Deficiency of MMP17/MT4-MMP Proteolytic Activity Predisposes to Aortic Aneurysm in Mice. Circulation Research. 117(2). e13–26. 50 indexed citations
5.
Moreno, Vanessa, Pilar Gonzalo, Jesús Gómez-Escudero, et al.. (2014). An EMMPRIN/γ-catenin/Nm23 complex drives ATP production and actomyosin contractility at endothelial junctions. Journal of Cell Science. 127(Pt 17). 3768–81. 21 indexed citations
6.
Gonzalo, Pilar, Alba Mota, Ángela Pollán, et al.. (2012). The protease MT1‐MMP drives a combinatorial proteolytic program in activated endothelial cells. The FASEB Journal. 26(11). 4481–4494. 26 indexed citations
7.
Gonzalo, Pilar, Marta C. Guadamillas, Ángela Pollán, et al.. (2010). MT1-MMP Is Required for Myeloid Cell Fusion via Regulation of Rac1 Signaling. Developmental Cell. 18(1). 77–89. 101 indexed citations
8.
Arroyo, Alicia G., Laura Genı́s, Pilar Gonzalo, et al.. (2007). Matrix Metalloproteinases: New Routes to the Use of MT1-MMP As A Therapeutic Target in Angiogenesis-Related Disease. Current Pharmaceutical Design. 13(17). 1787–1802. 42 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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