Anand Gururajan

1.4k total citations
30 papers, 1.1k citations indexed

About

Anand Gururajan is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Social Psychology. According to data from OpenAlex, Anand Gururajan has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 12 papers in Behavioral Neuroscience and 10 papers in Social Psychology. Recurrent topics in Anand Gururajan's work include Stress Responses and Cortisol (12 papers), Tryptophan and brain disorders (10 papers) and Neuroendocrine regulation and behavior (9 papers). Anand Gururajan is often cited by papers focused on Stress Responses and Cortisol (12 papers), Tryptophan and brain disorders (10 papers) and Neuroendocrine regulation and behavior (9 papers). Anand Gururajan collaborates with scholars based in Australia, Ireland and Germany. Anand Gururajan's co-authors include John F. Cryan, Daniel T. Malone, David A. Taylor, Maarten van den Buuse, Timothy G. Dinan, Andreas Reif, David A. Slattery, Gerard Clarke, Richard M. O’Connor and Gerard M. Moloney and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature reviews. Neuroscience and Neuroscience.

In The Last Decade

Anand Gururajan

29 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anand Gururajan Australia 16 325 304 302 282 235 30 1.1k
Richard M. O’Connor Ireland 16 315 1.0× 204 0.7× 367 1.2× 205 0.7× 111 0.5× 27 969
Teruyuki Hobara Japan 13 221 0.7× 442 1.5× 546 1.8× 355 1.3× 74 0.3× 17 1.3k
Lesa Dieter United States 13 284 0.9× 327 1.1× 209 0.7× 223 0.8× 148 0.6× 16 905
Fabien Boulle France 10 269 0.8× 221 0.7× 185 0.6× 263 0.9× 112 0.5× 13 854
Mi Kyoung Seo South Korea 22 434 1.3× 282 0.9× 428 1.4× 223 0.8× 147 0.6× 46 1.2k
Benedetta Bigio United States 15 172 0.5× 323 1.1× 282 0.9× 374 1.3× 56 0.2× 27 1.0k
Inna Gaisler‐Salomon Israel 18 341 1.0× 137 0.5× 373 1.2× 175 0.6× 59 0.3× 33 898
Fang Han China 21 271 0.8× 321 1.1× 211 0.7× 523 1.9× 66 0.3× 60 1.2k
Fabio Pibiri United States 15 391 1.2× 188 0.6× 359 1.2× 357 1.3× 142 0.6× 17 1.1k
Veronica Begni Italy 15 208 0.6× 249 0.8× 150 0.5× 306 1.1× 51 0.2× 45 806

Countries citing papers authored by Anand Gururajan

Since Specialization
Citations

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

Fields of papers citing papers by Anand Gururajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anand Gururajan

This figure shows the co-authorship network connecting the top 25 collaborators of Anand Gururajan. A scholar is included among the top collaborators of Anand Gururajan 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 Anand Gururajan. Anand Gururajan 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.
Gururajan, Anand, et al.. (2024). High fat diet consumption and social instability stress impair stress adaptation and maternal care in C57Bl/6 dams. Psychoneuroendocrinology. 169. 107168–107168. 1 indexed citations
2.
3.
Gururajan, Anand, et al.. (2022). A comprehensive approach to modeling maternal immune activation in rodents. Frontiers in Neuroscience. 16. 1071976–1071976. 17 indexed citations
4.
5.
Gururajan, Anand, et al.. (2021). The impact of psychosocial defeat stress on the bed nucleus of the stria terminalis transcriptome in adult male mice. European Journal of Neuroscience. 55(1). 67–77. 5 indexed citations
6.
Everett, Nicholas A., et al.. (2021). 024 Quiescent Wakefulness: Characterising the Impact of Oxytocin on Sleep-Wake Behaviour in Male and Female Rats. SLEEP. 44(Supplement_2). A11–A11. 1 indexed citations
7.
Bastiaanssen, Thomaz F. S., Anand Gururajan, Marcel van de Wouw, et al.. (2020). Volatility as a Concept to Understand the Impact of Stress on the Microbiome. Psychoneuroendocrinology. 124. 105047–105047. 62 indexed citations
8.
Gururajan, Anand. (2020). Animal models for depression. ˜The œbiomedical & life sciences collection.. 2020(11). e1005286–e1005286.
9.
Costa, Ana Paula, Brunno Rocha Levone, Anand Gururajan, et al.. (2019). Enduring effects of muscarinic receptor activation on adult hippocampal neurogenesis, microRNA expression and behaviour. Behavioural Brain Research. 362. 188–198. 5 indexed citations
10.
Gururajan, Anand, Marcel van de Wouw, Marcus Boehme, et al.. (2019). Resilience to chronic stress is associated with specific neurobiological, neuroendocrine and immune responses. Brain Behavior and Immunity. 80. 583–594. 55 indexed citations
11.
Gururajan, Anand, et al.. (2019). Acute alcohol exposure dose-dependently alleviates social avoidance in adolescent mice and inhibits social investigation in adult mice. Psychopharmacology. 236(12). 3625–3639. 10 indexed citations
12.
Gururajan, Anand, Aron Kos, & Juan Pablo López. (2018). Preclinical stress research: where are we headed? An early career investigator’s perspective. Stress. 21(5). 384–388. 5 indexed citations
13.
Gururajan, Anand, Gerard Clarke, Timothy G. Dinan, & John F. Cryan. (2016). Molecular biomarkers of depression. Neuroscience & Biobehavioral Reviews. 64. 101–133. 98 indexed citations
14.
Gururajan, Anand & Daniel T. Malone. (2016). Does cannabidiol have a role in the treatment of schizophrenia?. Schizophrenia Research. 176(2-3). 281–290. 34 indexed citations
15.
Gururajan, Anand, M. Naughton, Karen A. Scott, et al.. (2016). MicroRNAs as biomarkers for major depression: a role for let-7b and let-7c. Translational Psychiatry. 6(8). e862–e862. 111 indexed citations
16.
Gururajan, Anand, Rachel Hill, & Maarten van den Buuse. (2014). Brain-derived neurotrophic factor heterozygous mutant rats show selective cognitive changes and vulnerability to chronic corticosterone treatment. Neuroscience. 284. 297–310. 27 indexed citations
17.
Gururajan, Anand, David A. Taylor, & Daniel T. Malone. (2012). Cannabidiol and clozapine reverse MK-801-induced deficits in social interaction and hyperactivity in Sprague–Dawley rats. Journal of Psychopharmacology. 26(10). 1317–1332. 59 indexed citations
18.
Gururajan, Anand, David A. Taylor, & Daniel T. Malone. (2011). Effect of cannabidiol in a MK-801-rodent model of aspects of Schizophrenia. Behavioural Brain Research. 222(2). 299–308. 69 indexed citations
19.
Gururajan, Anand, David A. Taylor, & Daniel T. Malone. (2010). Current pharmacological models of social withdrawal in rats. Behavioural Pharmacology. 21(8). 690–709. 50 indexed citations
20.
Gururajan, Anand, David A. Taylor, & Daniel T. Malone. (2009). Effect of testing conditions on the propsychotic action of MK-801 on prepulse inhibition, social behaviour and locomotor activity. Physiology & Behavior. 99(1). 131–138. 20 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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