Jaanus Harro

10.4k total citations
270 papers, 7.1k citations indexed

About

Jaanus Harro is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Jaanus Harro has authored 270 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Cellular and Molecular Neuroscience, 76 papers in Molecular Biology and 58 papers in Behavioral Neuroscience. Recurrent topics in Jaanus Harro's work include Neurotransmitter Receptor Influence on Behavior (84 papers), Receptor Mechanisms and Signaling (63 papers) and Stress Responses and Cortisol (58 papers). Jaanus Harro is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (84 papers), Receptor Mechanisms and Signaling (63 papers) and Stress Responses and Cortisol (58 papers). Jaanus Harro collaborates with scholars based in Estonia, Sweden and Germany. Jaanus Harro's co-authors include Lars Oreland, Eero Vasar, Ants Kask, Toomas Veidebaum, Maarike Harro, Evelyn Kiive, Lembit Rägo, Diva Eensoo, Marika Eller and Kadri Kõiv and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Jaanus Harro

262 papers receiving 7.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaanus Harro Estonia 44 3.0k 1.8k 1.8k 1.4k 1.1k 270 7.1k
Therese A. Kosten United States 47 3.0k 1.0× 1.7k 1.0× 1.4k 0.8× 1.3k 1.0× 722 0.7× 164 6.6k
György Bagdy Hungary 50 2.6k 0.9× 1.6k 0.9× 1.3k 0.8× 1.2k 0.9× 1.1k 1.0× 260 7.4k
Peter Gass Germany 49 3.1k 1.0× 1.5k 0.8× 1.6k 0.9× 996 0.7× 531 0.5× 199 7.7k
Judith R. Homberg Netherlands 45 3.5k 1.2× 2.2k 1.2× 1.7k 0.9× 2.2k 1.6× 1.4k 1.3× 225 9.0k
Ming‐Hu Han United States 41 3.2k 1.1× 1.9k 1.0× 2.0k 1.1× 1.2k 0.9× 588 0.5× 80 6.8k
Denis J. David France 50 4.3k 1.4× 1.9k 1.0× 2.6k 1.5× 945 0.7× 927 0.8× 185 10.6k
Zóltan Sarnyai Australia 41 2.0k 0.7× 2.0k 1.1× 1.4k 0.8× 1.7k 1.2× 628 0.6× 134 7.3k
Gregers Wegener Denmark 51 2.6k 0.9× 1.9k 1.0× 1.9k 1.1× 1.1k 0.8× 684 0.6× 252 8.1k
Rainer Hellweg Germany 50 3.8k 1.3× 1.5k 0.8× 1.2k 0.7× 672 0.5× 718 0.6× 194 8.5k
F. Scott Hall United States 43 3.8k 1.3× 1.4k 0.8× 1.9k 1.1× 1.4k 1.0× 404 0.4× 162 6.2k

Countries citing papers authored by Jaanus Harro

Since Specialization
Citations

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

Fields of papers citing papers by Jaanus Harro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaanus Harro

This figure shows the co-authorship network connecting the top 25 collaborators of Jaanus Harro. A scholar is included among the top collaborators of Jaanus Harro 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 Jaanus Harro. Jaanus Harro 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.
Kiive, Evelyn, Diva Eensoo, Inga Villa, et al.. (2025). Parsing reward sensitivity reveals distinct relationships with energy intake, metabolic markers, physical activity and fitness. Acta Neuropsychiatrica. 37. e8–e8.
2.
Kõiv, Kadri, et al.. (2025). Ultrasonic vocalisations in the Flinders Sensitive Line rat, a genetic animal model of depression. Acta Neuropsychiatrica. 37. e3–e3.
3.
4.
Pishva, Ehsan, Arunima Roy, Gabriela Ortega, et al.. (2023). Genome‐wide DNA methylation analysis of aggressive behaviour: a longitudinal population‐based study. Journal of Child Psychology and Psychiatry. 64(7). 998–1006. 2 indexed citations
5.
Matrov, Denis, Tanel Kaart, Arunima Roy, et al.. (2023). MAOA methylation is associated with impulsive and antisocial behaviour: dependence on allelic variation, family environment and diet. Journal of Neural Transmission. 131(1). 59–71. 1 indexed citations
6.
Muntaner‐Mas, Adrià, Francisco B. Ortega, Pedro Femia, et al.. (2020). Low cardiorespiratory fitness and obesity for ADHD in childhood and adolescence: A 6‐year cohort study. Scandinavian Journal of Medicine and Science in Sports. 31(4). 903–913. 9 indexed citations
7.
Matrov, Denis, Tanel Kaart, Laurence Lanfumey, et al.. (2018). Cerebral oxidative metabolism mapping in four genetic mouse models of anxiety and mood disorders. Behavioural Brain Research. 356. 435–443. 6 indexed citations
8.
Harrington, Marcus O., Kristel Klaus, Mariliis Vaht, et al.. (2018). Overnight retention of emotional memories is influenced by BDNF Val66Met but not 5-HTTLPR. Behavioural Brain Research. 359. 17–27. 10 indexed citations
9.
Müller, Antje, Antonia Post, Aet O’Leary, et al.. (2016). Interaction of NOS1AP with the NOS-I PDZ domain: Implications for schizophrenia-related alterations in dendritic morphology. European Neuropsychopharmacology. 26(4). 741–755. 22 indexed citations
10.
Netter, Petra, Jaanus Harro, Martin Reuter, et al.. (2015). MAO-B Activity in Platelets and the MAO-B Gene Polymorphism are Differently Related to Personality Traits in Alcohol Dependent Patients. International Neuropsychiatric Disease Journal. 4(1). 14–28. 1 indexed citations
11.
Vaht, Mariliis, Liis Merenäkk, Jarek Mäestu, Toomas Veidebaum, & Jaanus Harro. (2014). Serotonin transporter gene promoter polymorphism (5-HTTLPR) and alcohol use in general population: interaction effect with birth cohort. Psychopharmacology. 231(13). 2587–2594. 25 indexed citations
12.
Garcia, Fréderico Duarte, Jean‐Claude do Rego, Christine Bôle‐Feysot, et al.. (2012). Anti-neuropeptide Y plasma immunoglobulins in relation to mood and appetite in depressive disorder. Psychoneuroendocrinology. 37(9). 1457–1467. 13 indexed citations
13.
Ortega, Francisco B., Jonatan R. Ruiz, Idoia Labayen, et al.. (2012). Role of socio-cultural factors on changes in fitness and adiposity in youth: A 6-year follow-up study. Nutrition Metabolism and Cardiovascular Diseases. 23(9). 883–890. 19 indexed citations
14.
Oreland, Lars, et al.. (2011). Ethanol-induced effects on the dopamine and serotonin systems in adult Wistar rats are dependent on early-life experiences. Brain Research. 1405. 57–68. 27 indexed citations
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Mällo, Tanel, et al.. (2004). Effect of long-term blockade of CRF1 receptors on exploratory behaviour, monoamines and transcription factor AP-2. Pharmacology Biochemistry and Behavior. 77(4). 855–865. 6 indexed citations
18.
Sherif, Fathi M., Jaanus Harro, Abdalla Elhwuegi, & L. Oreland. (1994). Anxiolytic-like effect of the GABA-transaminase inhibitor vigabatrin (gamma-vinyl GABA) on rat exploratory activity. Pharmacology Biochemistry and Behavior. 49(4). 801–805. 35 indexed citations
19.
Harro, Jaanus. (1993). Studies on the brain cholecystokinin receptors and behaviour. 1 indexed citations
20.
Harro, Jaanus, Lars Oreland, & Eero Vasar. (1992). CHOLECYSTOKININ RECEPTORS AND ANIMAL MODELS OF ANXIETY. Clinical Neuropharmacology. 15. 479A–480A. 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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