Annika Vaarmann

2.0k total citations
24 papers, 1.2k citations indexed

About

Annika Vaarmann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Annika Vaarmann has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Physiology. Recurrent topics in Annika Vaarmann's work include Neuroscience and Neuropharmacology Research (7 papers), Mitochondrial Function and Pathology (6 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Annika Vaarmann is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Mitochondrial Function and Pathology (6 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Annika Vaarmann collaborates with scholars based in Estonia, United Kingdom and France. Annika Vaarmann's co-authors include Allen Kaasik, Malle Kuum, Vinay Choubey, Dzhamilja Safiulina, Przemyslaw Warȩski, Andrey Y. Abramov, Sonia Gandhi, Michal Cagalinec, Joanna Liiv and Ants Kask and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Development.

In The Last Decade

Annika Vaarmann

23 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annika Vaarmann Estonia 14 581 345 328 319 194 24 1.2k
C. Thong United States 18 615 1.1× 374 1.1× 344 1.0× 419 1.3× 152 0.8× 27 1.4k
Linan Chen China 8 479 0.8× 416 1.2× 228 0.7× 624 2.0× 206 1.1× 18 1.1k
Andrew Ferree United States 15 579 1.0× 354 1.0× 219 0.7× 400 1.3× 121 0.6× 20 1.1k
Smita Majumder United States 7 650 1.1× 311 0.9× 924 2.8× 336 1.1× 511 2.6× 7 1.7k
Henryk Jęśko Poland 23 735 1.3× 190 0.6× 417 1.3× 165 0.5× 153 0.8× 42 1.4k
E Lezi United States 17 729 1.3× 162 0.5× 586 1.8× 138 0.4× 133 0.7× 23 1.3k
Andrew B. Knott United States 9 1.2k 2.1× 400 1.2× 460 1.4× 229 0.7× 197 1.0× 10 1.7k
Gessica Sala Italy 20 396 0.7× 283 0.8× 285 0.9× 385 1.2× 177 0.9× 44 1.1k
José Antonio Rodríguez‐Navarro Spain 21 586 1.0× 442 1.3× 550 1.7× 506 1.6× 695 3.6× 37 1.8k
David X. Medina United States 13 448 0.8× 193 0.6× 519 1.6× 163 0.5× 171 0.9× 19 1.1k

Countries citing papers authored by Annika Vaarmann

Since Specialization
Citations

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

Fields of papers citing papers by Annika Vaarmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Vaarmann

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

All Works

20 of 20 papers shown
1.
Rovere, Rita La, Annika Vaarmann, Guizhen Fan, et al.. (2025). CISD2 ensures adequate ER-mitochondrial coupling, critically supporting mitochondrial function in neurons. Acta Neuropathologica Communications. 13(1). 242–242.
2.
Zeb, Akbar, Vinay Choubey, Malle Kuum, et al.. (2021). A novel role of KEAP1/PGAM5 complex: ROS sensor for inducing mitophagy. Redox Biology. 48. 102186–102186. 64 indexed citations
3.
Cagalinec, Michal, Mailis Liiv, Miriam A. Hickey, et al.. (2016). Role of Mitochondrial Dynamics in Neuronal Development: Mechanism for Wolfram Syndrome. PLoS Biology. 14(7). e1002511–e1002511. 100 indexed citations
4.
Vaarmann, Annika, Merle Mandel, Akbar Zeb, et al.. (2016). Mitochondrial biogenesis is required for axonal growth. Journal of Cell Science. 129(12). e1.2–e1.2. 15 indexed citations
5.
Vaarmann, Annika, Merle Mandel, Akbar Zeb, et al.. (2016). Mitochondrial biogenesis is required for axonal growth. Development. 143(11). 1981–92. 70 indexed citations
6.
Vaarmann, Annika, Stjepana Kovac, Kira M. Holmström, Sonia Gandhi, & Andrey Y. Abramov. (2013). Dopamine protects neurons against glutamate-induced excitotoxicity. Cell Death and Disease. 4(1). e455–e455. 85 indexed citations
7.
Gandhi, Sonia, Annika Vaarmann, Zhi Yao, et al.. (2012). Dopamine Induced Neurodegeneration in a PINK1 Model of Parkinson's Disease. PLoS ONE. 7(5). e37564–e37564. 62 indexed citations
8.
Vaarmann, Annika, Sonia Gandhi, Alexander V. Gourine, & Andrey Y. Abramov. (2010). Novel pathway for an old neurotransmitter: Dopamine-induced neuronal calcium signalling via receptor-independent mechanisms. Cell Calcium. 48(2-3). 176–182. 27 indexed citations
9.
Vaarmann, Annika, Sonia Gandhi, & Andrey Y. Abramov. (2010). Dopamine Induces Ca2+ Signaling in Astrocytes through Reactive Oxygen Species Generated by Monoamine Oxidase. Journal of Biological Chemistry. 285(32). 25018–25023. 101 indexed citations
10.
Warȩski, Przemyslaw, Annika Vaarmann, Vinay Choubey, et al.. (2009). PGC-1α and PGC-1Β Regulate Mitochondrial Density in Neurons. Journal of Biological Chemistry. 284(32). 21379–21385. 249 indexed citations
11.
Plaas, Mario, Alar Karis, Jürgen Innos, et al.. (2008). Alpha-synuclein A30P point-mutation generates age-dependent nigrostriatal deficiency in mice.. PubMed. 59(2). 205–16. 26 indexed citations
12.
Kaasik, Allen, et al.. (2007). Seizures, Ataxia, and Neuronal Loss in Cystatin B Heterozygous Mice. Epilepsia. 48(4). 752–757. 11 indexed citations
13.
Vaarmann, Annika, Dominique Fortin, Vladimir Veksler, et al.. (2007). Mitochondrial biogenesis in fast skeletal muscle of CK deficient mice. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1777(1). 39–47. 11 indexed citations
14.
Vaarmann, Annika, Allen Kaasik, & Alexander Zharkovsky. (2006). Altered Tryptophan Metabolism in the Brain of Cystatin B‐Deficient Mice: A Model System for Progressive Myoclonus Epilepsy. Epilepsia. 47(10). 1650–1654. 12 indexed citations
15.
Vaarmann, Annika, et al.. (2002). 1-(1-Naphthyl)-piperazine, a mixed 5-HT1A and 5-HT2A/2C receptorligand, elicits an anxiolytic-like effect in the open-field testwithout changes in 5-HT metabolism. Methods and Findings in Experimental and Clinical Pharmacology. 24(3). 151–151. 3 indexed citations
16.
Vaarmann, Annika, et al.. (2002). Role of 5-HT1A receptors in the mediation of acute citalopram effects. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 26(2). 227–232. 4 indexed citations
17.
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19.
Vaarmann, Annika & Ants Kask. (2001). Cocaine and amphetamine-regulated transcript peptide (CART62–76)-induced changes in regional monoamine levels in ratbrain. Neuropeptides. 35(5-6). 292–296. 19 indexed citations
20.
Matto, Vallo, et al.. (2000). Apomorphine-induced aggressive behaviour and post-mortem monoamine content in male Wistar rats. Neuroscience Letters. 289(2). 131–134. 5 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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