María-Nieves Sanz

627 total citations · 1 hit paper
8 papers, 467 citations indexed

About

María-Nieves Sanz is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, María-Nieves Sanz has authored 8 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Pathology and Forensic Medicine. Recurrent topics in María-Nieves Sanz's work include Cardiac Ischemia and Reperfusion (3 papers), Adipose Tissue and Metabolism (3 papers) and Autophagy in Disease and Therapy (2 papers). María-Nieves Sanz is often cited by papers focused on Cardiac Ischemia and Reperfusion (3 papers), Adipose Tissue and Metabolism (3 papers) and Autophagy in Disease and Therapy (2 papers). María-Nieves Sanz collaborates with scholars based in France, Switzerland and Spain. María-Nieves Sanz's co-authors include Benoı̂t Viollet, Janne R. Hingst, Louise Lantier, André Marette, Christian Pehmøller, Joachim Fentz, Jørgen F. P. Wojtaszewski, Marc Foretz, Michaël Shum and Jonas T. Treebak and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Transplantation.

In The Last Decade

María-Nieves Sanz

8 papers receiving 467 citations

Hit Papers

AMPK in skeletal muscle function and metabolism 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María-Nieves Sanz France 6 288 238 79 71 67 8 467
Meghan C. Hughes Canada 14 323 1.1× 303 1.3× 50 0.6× 94 1.3× 78 1.2× 24 579
Linda M.‐D. Nguyen United States 8 350 1.2× 371 1.6× 59 0.7× 92 1.3× 76 1.1× 13 656
Ho‐Jin Koh United States 14 479 1.7× 401 1.7× 127 1.6× 105 1.5× 87 1.3× 23 703
Zhiyin Liao China 12 271 0.9× 249 1.0× 32 0.4× 44 0.6× 72 1.1× 18 485
Jin‐Ho Koh South Korea 12 235 0.8× 214 0.9× 25 0.3× 66 0.9× 72 1.1× 22 406
Patrick J. Ferrara United States 14 248 0.9× 222 0.9× 50 0.6× 77 1.1× 45 0.7× 27 427
Cécile Coudy‐Gandilhon France 12 283 1.0× 244 1.0× 27 0.3× 122 1.7× 55 0.8× 29 528
Nuoqi Wang China 6 231 0.8× 144 0.6× 39 0.5× 59 0.8× 26 0.4× 10 376
David Álvarez-Guardia Spain 7 340 1.2× 209 0.9× 62 0.8× 34 0.5× 120 1.8× 7 541
Sílvia Paula-Gomes Brazil 11 262 0.9× 167 0.7× 26 0.3× 76 1.1× 62 0.9× 20 460

Countries citing papers authored by María-Nieves Sanz

Since Specialization
Citations

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

Fields of papers citing papers by María-Nieves Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María-Nieves Sanz. 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 María-Nieves Sanz. The network helps show where María-Nieves Sanz may publish in the future.

Co-authorship network of co-authors of María-Nieves Sanz

This figure shows the co-authorship network connecting the top 25 collaborators of María-Nieves Sanz. A scholar is included among the top collaborators of María-Nieves Sanz 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 María-Nieves Sanz. María-Nieves Sanz 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.
Sanz, María-Nieves, et al.. (2024). Circulating factors, in both donor and ex-situ heart perfusion, correlate with heart recovery in a pig model of DCD. The Journal of Heart and Lung Transplantation. 44(1). 92–101. 1 indexed citations
2.
Sanz, María-Nieves, Mélanie Gressette, Catherine Rücker‐Martin, et al.. (2021). Spatiotemporal AMPKα2 deletion in mice induces cardiac dysfunction, fibrosis and cardiolipin remodeling associated with mitochondrial dysfunction in males only. Biology of Sex Differences. 12(1). 52–52. 9 indexed citations
3.
Sanz, María-Nieves, Maryline Moulin, Mélanie Gressette, et al.. (2019). Inducible Cardiac-Specific Deletion of Sirt1 in Male Mice Reveals Progressive Cardiac Dysfunction and Sensitization of the Heart to Pressure Overload. International Journal of Molecular Sciences. 20(20). 5005–5005. 41 indexed citations
4.
Wyss, Rahel K., María-Nieves Sanz, Martin Fiedler, et al.. (2018). Mitochondrial integrity during early reperfusion in an isolated rat heart model of donation after circulatory death—consequences of ischemic duration. The Journal of Heart and Lung Transplantation. 38(6). 647–657. 19 indexed citations
5.
Kjøbsted, Rasmus, Janne R. Hingst, Joachim Fentz, et al.. (2017). AMPK in skeletal muscle function and metabolism. The FASEB Journal. 32(4). 1741–1777. 352 indexed citations breakdown →
7.
Sanz, María-Nieves, et al.. (2012). Hepatic Mitochondrial Alterations and Increased Oxidative Stress in Nutritional Diabetes-PronePsammomys obesusModel. Experimental Diabetes Research. 2012. 1–8. 20 indexed citations
8.
Sanz, María-Nieves, et al.. (2011). Acute Mitochondrial Actions of Glitazones on the Liver: a Crucial Parameter for their Antidiabetic Properties. Cellular Physiology and Biochemistry. 28(5). 899–910. 23 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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