Andriy Fedorenko

1.8k total citations · 1 hit paper
9 papers, 1.3k citations indexed

About

Andriy Fedorenko is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Andriy Fedorenko has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Andriy Fedorenko's work include Mitochondrial Function and Pathology (4 papers), Adipose Tissue and Metabolism (3 papers) and Ion channel regulation and function (2 papers). Andriy Fedorenko is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Adipose Tissue and Metabolism (3 papers) and Ion channel regulation and function (2 papers). Andriy Fedorenko collaborates with scholars based in United States and Ukraine. Andriy Fedorenko's co-authors include Yuriy Kirichok, Polina V. Lishko, Inna L. Botchkina, Ambre M. Bertholet, Ryan Garrity, Lawrence Kazak, Naohiro Terada, Jonathan Z. Long, Douglas C. Wallace and Sara Vidoni and has published in prestigious journals such as Nature, Cell and Sensors.

In The Last Decade

Andriy Fedorenko

8 papers receiving 1.3k citations

Hit Papers

Mechanism of Fatty-Acid-Dependent UCP1 Uncoupling in Brow... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andriy Fedorenko United States 5 762 580 266 172 154 9 1.3k
M. Mar González‐Barroso Spain 23 968 1.3× 905 1.6× 220 0.8× 116 0.7× 214 1.4× 34 1.7k
Françoise Kühne Switzerland 13 587 0.8× 622 1.1× 145 0.5× 33 0.2× 174 1.1× 15 1.3k
Juan C. Bournat United States 11 478 0.6× 441 0.8× 247 0.9× 72 0.4× 64 0.4× 19 1.1k
Louise Sanders United Kingdom 16 748 1.0× 778 1.3× 406 1.5× 463 2.7× 149 1.0× 18 2.1k
Greg M. Kowalski Australia 23 797 1.0× 831 1.4× 416 1.6× 92 0.5× 281 1.8× 60 1.8k
Ulrika Andersson‐Hall Sweden 18 775 1.0× 592 1.0× 237 0.9× 30 0.2× 213 1.4× 39 1.6k
Eleonora Sorianello Argentina 12 454 0.6× 780 1.3× 323 1.2× 49 0.3× 176 1.1× 28 1.2k
Valur Emilsson United States 25 745 1.0× 807 1.4× 569 2.1× 88 0.5× 81 0.5× 45 2.3k
Maria Nicola Gadaleta Italy 28 433 0.6× 1.5k 2.5× 136 0.5× 34 0.2× 102 0.7× 47 1.9k
François Singh France 19 355 0.5× 797 1.4× 539 2.0× 65 0.4× 183 1.2× 34 1.6k

Countries citing papers authored by Andriy Fedorenko

Since Specialization
Citations

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

Fields of papers citing papers by Andriy Fedorenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andriy Fedorenko

This figure shows the co-authorship network connecting the top 25 collaborators of Andriy Fedorenko. A scholar is included among the top collaborators of Andriy Fedorenko 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 Andriy Fedorenko. Andriy Fedorenko 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.
Domine, L., Amlan Biswas, Andriy Fedorenko, et al.. (2025). Commissioning an All-Sky Infrared Camera Array for Detection of Airborne Objects. Sensors. 25(3). 783–783.
2.
Fedorenko, Andriy, et al.. (2023). Integrated Computing Platform for Detection and Tracking of Unidentified Aerial Phenomena (UAP). Journal of Astronomical Instrumentation. 12(1). 2 indexed citations
3.
Bertholet, Ambre M., Andrew M. Natale, Paola Bisignano, et al.. (2022). Mitochondrial uncouplers induce proton leak by activating AAC and UCP1. Nature. 606(7912). 180–187. 83 indexed citations
4.
Bertholet, Ambre M., Andrew M. Natale, Paola Bisignano, et al.. (2022). Mitochondrial uncouplers induce proton leak by activating AAC and UCP1. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1863. 148719–148719. 1 indexed citations
5.
Bertholet, Ambre M., Edward T. Chouchani, Lawrence Kazak, et al.. (2019). H+ transport is an integral function of the mitochondrial ADP/ATP carrier. Nature. 571(7766). 515–520. 190 indexed citations
6.
Fedorenko, Andriy, Polina V. Lishko, & Yuriy Kirichok. (2012). Mechanism of Fatty-Acid-Dependent UCP1 Uncoupling in Brown Fat Mitochondria. Cell. 151(2). 400–413. 749 indexed citations breakdown →
7.
Lishko, Polina V., Inna L. Botchkina, Andriy Fedorenko, & Yuriy Kirichok. (2010). Acid Extrusion from Human Spermatozoa Is Mediated by Flagellar Voltage-Gated Proton Channel. Cell. 140(3). 327–337. 302 indexed citations
8.
Krishtal, Oleg, et al.. (2006). The agonists for nociceptors are ubiquitous, but the modulators are specific: P2X receptors in the sensory neurons are modulated by cannabinoids. Pflügers Archiv - European Journal of Physiology. 453(3). 353–360. 17 indexed citations
9.
Fedorenko, Andriy, et al.. (2006). Antioxidant-caused changes in the permeability of proton-gated ion channels for sodium and calcium. Neurophysiology. 38(3). 158–162. 2 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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