Iván Ruminot

1.6k total citations
26 papers, 1.1k citations indexed

About

Iván Ruminot is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Iván Ruminot has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Iván Ruminot's work include Neuroscience and Neuropharmacology Research (17 papers), Mitochondrial Function and Pathology (11 papers) and Ion channel regulation and function (8 papers). Iván Ruminot is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Mitochondrial Function and Pathology (11 papers) and Ion channel regulation and function (8 papers). Iván Ruminot collaborates with scholars based in Chile, Germany and United Kingdom. Iván Ruminot's co-authors include L. Felipe Barros, Joachim W. Deitmer, Shefeeq M. Theparambil, Tamara Sotelo-Hitschfeld, Anitsi Loaiza, Rodrigo Lerchundi, Alejandro San Martín, Ignacio Fernández‐Moncada, Holger M. Becker and Gary E. Shull and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Iván Ruminot

23 papers receiving 1.1k citations

Peers

Iván Ruminot

CMN

NEURO

PHYSI

Felipe Baeza‐Lehnert Chile

Marc Zuend Switzerland

Marcus Semtner Germany

Elena Dossi France

Evelyne Ruchti Switzerland

Mei-Fang Xiao United States

Peter Bedner Germany

Fredrik Blomstrand Sweden

Shefeeq M. Theparambil United Kingdom

Yohei Okubo Japan

Felipe Baeza‐Lehnert Chile

Iván Ruminot

606 ×1.0

428 ×0.7

CMN

192 ×0.7

NEURO

221 ×1.0

PHYSI

84 ×0.9

Citations per year, relative to Iván Ruminot Iván Ruminot (= 1×) peers Felipe Baeza‐Lehnert

Countries citing papers authored by Iván Ruminot

Since Specialization

Citations

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

Fields of papers citing papers by Iván Ruminot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván Ruminot

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

All Works

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20 of 20 papers shown

Ruminot, Iván, et al.. (2025). Fueling the brain - the role of apolipoprotein E in brain energy metabolism and its implications for Alzheimer’s disease. Translational Psychiatry. 15(1). 316–316.

Ruminot, Iván, et al.. (2025). Role of the Choroid Plexus Kir7.1 Channel in the Regulation of Mouse Cerebrospinal Fluid K ⁺ Concentration. Acta Physiologica. 241(12). e70129–e70129.

Weber, R., Ruslan Rust, Luca Ravotto, et al.. (2025). APOE genotype-dependent differences in human astrocytic energy metabolism. Frontiers in Cellular Neuroscience. 19. 1603657–1603657.

Barros, L. Felipe, Iván Ruminot, Pamela Y. Sandoval, & Alejandro San Martín. (2023). Enlightening brain energy metabolism. Neurobiology of Disease. 184. 106211–106211. 8 indexed citations

Hosford, Patrick S., Jack A. Wells, Shereen Nizari, et al.. (2022). CO2 signaling mediates neurovascular coupling in the cerebral cortex. Nature Communications. 13(1). 2125–2125. 27 indexed citations

Syeda, Tauqeerunnisa, Vicente Sánchez-Valle, Mónica Torres-Ramos, et al.. (2022). Dietary Fiber Modulates the Release of Gut Bacterial Products Preventing Cognitive Decline in an Alzheimer’s Mouse Model. Cellular and Molecular Neurobiology. 43(4). 1595–1618. 47 indexed citations

Saint‐Criq, Vinciane, Sandra Villanueva, Ignacio Fernández‐Moncada, et al.. (2022). Inhibition of the sodium-dependent HCO3- transporter SLC4A4, produces a cystic fibrosis-like airway disease phenotype. eLife. 11. 9 indexed citations

Theparambil, Shefeeq M., Patrick S. Hosford, Iván Ruminot, et al.. (2020). Astrocytes regulate brain extracellular pH via a neuronal activity-dependent bicarbonate shuttle. Nature Communications. 11(1). 5073–5073. 89 indexed citations

Barros, L. Felipe, Alejandro San Martín, Iván Ruminot, et al.. (2020). Fluid Brain Glycolysis: Limits, Speed, Location, Moonlighting, and the Fates of Glycogen and Lactate. Neurochemical Research. 45(6). 1328–1334. 16 indexed citations

10.

Barros, L. Felipe, Iván Ruminot, Alejandro San Martín, et al.. (2020). Aerobic Glycolysis in the Brain: Warburg and Crabtree Contra Pasteur. Neurochemical Research. 46(1). 15–22. 59 indexed citations

11.

Deitmer, Joachim W., et al.. (2019). Energy Dynamics in the Brain: Contributions of Astrocytes to Metabolism and pH Homeostasis. Frontiers in Neuroscience. 13. 1301–1301. 98 indexed citations

12.

Deitmer, Joachim W., Shefeeq M. Theparambil, Iván Ruminot, & Holger M. Becker. (2017). Our hungry brain: Which role do glial cells play for the energy supply?. e-Neuroforum. 23(1). 1–8. 1 indexed citations

13.

Theparambil, Shefeeq M., et al.. (2016). Proton Fall or Bicarbonate Rise. Journal of Biological Chemistry. 291(36). 19108–19117. 23 indexed citations

14.

Ruminot, Iván, et al.. (2015). Inhibition of monocarboxylate transporter by N-cyanosulphonamide S0859. European Journal of Pharmacology. 762. 344–349. 26 indexed citations

15.

Theparambil, Shefeeq M., Iván Ruminot, Hans‐Peter Schneider, Gary E. Shull, & Joachim W. Deitmer. (2014). The Electrogenic Sodium Bicarbonate Cotransporter NBCe1 Is a High-Affinity Bicarbonate Carrier in Cortical Astrocytes. Journal of Neuroscience. 34(4). 1148–1157. 56 indexed citations

16.

Ruminot, Iván, et al.. (2012). Higher Transport and Metabolism of Glucose in Astrocytes Compared with Neurons: A Multiphoton Study of Hippocampal and Cerebellar Tissue Slices. Cerebral Cortex. 24(1). 222–231. 87 indexed citations

17.

Ruminot, Iván, Gaspar Peña-Münzenmayer, Carolina Añazco, et al.. (2011). NBCe1 Mediates the Acute Stimulation of Astrocytic Glycolysis by Extracellular K⁺. Journal of Neuroscience. 31(40). 14264–14271. 126 indexed citations

18.

Bittner, Carla X., Rocío Valdebenito, Iván Ruminot, et al.. (2011). Fast and Reversible Stimulation of Astrocytic Glycolysis by K⁺and a Delayed and Persistent Effect of Glutamate. Journal of Neuroscience. 31(12). 4709–4713. 148 indexed citations

19.

Porras, Omar, Iván Ruminot, Anitsi Loaiza, & L. Felipe Barros. (2007). Na⁺‐Ca²⁺ cosignaling in the stimulation of the glucose transporter GLUT1 in cultured astrocytes. Glia. 56(1). 59–68. 75 indexed citations

20.

Castro, Joel, Iván Ruminot, Omar Porras, et al.. (2006). ATP steal between cation pumps: a mechanism linking Na+ influx to the onset of necrotic Ca2+ overload. Cell Death and Differentiation. 13(10). 1675–1685. 21 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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