Shobha Anilkumar

517 total citations
8 papers, 383 citations indexed

About

Shobha Anilkumar is a scholar working on Behavioral Neuroscience, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Shobha Anilkumar has authored 8 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Behavioral Neuroscience, 4 papers in Social Psychology and 4 papers in Cognitive Neuroscience. Recurrent topics in Shobha Anilkumar's work include Stress Responses and Cortisol (6 papers), Neuroendocrine regulation and behavior (4 papers) and Memory and Neural Mechanisms (4 papers). Shobha Anilkumar is often cited by papers focused on Stress Responses and Cortisol (6 papers), Neuroendocrine regulation and behavior (4 papers) and Memory and Neural Mechanisms (4 papers). Shobha Anilkumar collaborates with scholars based in India, Netherlands and United Kingdom. Shobha Anilkumar's co-authors include Sumantra Chattarji, Rajnish P. Rao, Bruce S. McEwen, Bauke Buwalda, Sharath Bennur, Supriya Ghosh, Anupratap Tomar, Aparna Suvrathan, Anup G. Pillai and Mira Jakovcevski and has published in prestigious journals such as Nature Medicine, Biological Psychiatry and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Shobha Anilkumar

8 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shobha Anilkumar India 5 196 116 114 100 99 8 383
Sara B. Taylor United States 12 153 0.8× 63 0.5× 115 1.0× 114 1.1× 128 1.3× 15 424
Zachary S. Lorsch United States 8 215 1.1× 80 0.7× 102 0.9× 102 1.0× 152 1.5× 10 463
Sandra Zoubovsky United States 8 166 0.8× 67 0.6× 100 0.9× 108 1.1× 100 1.0× 9 436
Nadia Kaouane France 7 249 1.3× 151 1.3× 126 1.1× 75 0.8× 134 1.4× 9 461
Rachel M. Anderson United States 11 191 1.0× 109 0.9× 135 1.2× 108 1.1× 194 2.0× 13 456
Jessica Ihne United States 7 176 0.9× 120 1.0× 93 0.8× 79 0.8× 186 1.9× 7 405
Andrew M. Swanson United States 8 165 0.8× 122 1.1× 98 0.9× 117 1.2× 208 2.1× 11 434
Aet Alttoa Estonia 11 154 0.8× 48 0.4× 123 1.1× 137 1.4× 182 1.8× 13 457
Kenneth M. McCullough United States 9 173 0.9× 180 1.6× 115 1.0× 89 0.9× 177 1.8× 12 459
Nicole C. Ferrara United States 13 216 1.1× 298 2.6× 128 1.1× 112 1.1× 275 2.8× 34 574

Countries citing papers authored by Shobha Anilkumar

Since Specialization
Citations

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

Fields of papers citing papers by Shobha Anilkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shobha Anilkumar

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

All Works

8 of 8 papers shown
1.
Anilkumar, Shobha, et al.. (2024). Recurrent endothelin-1 mediated vascular insult leads to cognitive impairment protected by trophic factor pleiotrophin. Experimental Neurology. 381. 114938–114938. 1 indexed citations
2.
Anilkumar, Shobha, et al.. (2021). Repeated victorious and defeat experiences induce similar apical dendritic spine remodeling in CA1 hippocampus of rats. Behavioural Brain Research. 406. 113243–113243. 4 indexed citations
3.
Anilkumar, Shobha, et al.. (2020). Decreased dendritic spine density in posterodorsal medial amygdala neurons of proactive coping rats. Behavioural Brain Research. 397. 112940–112940. 4 indexed citations
4.
Anilkumar, Shobha, et al.. (2018). Repeated social stress leads to contrasting patterns of structural plasticity in the amygdala and hippocampus. Behavioural Brain Research. 347. 314–324. 70 indexed citations
5.
Suvrathan, Aparna, Sharath Bennur, Supriya Ghosh, et al.. (2013). Stress enhances fear by forming new synapses with greater capacity for long-term potentiation in the amygdala. Philosophical Transactions of the Royal Society B Biological Sciences. 369(1633). 20130151–20130151. 87 indexed citations
6.
Udagawa, Tsuyoshi, Natalie G. Farny, Mira Jakovcevski, et al.. (2013). Genetic and acute CPEB1 depletion ameliorate fragile X pathophysiology. Nature Medicine. 19(11). 1473–1477. 94 indexed citations
7.
Rao, Rajnish P., Shobha Anilkumar, Bruce S. McEwen, & Sumantra Chattarji. (2012). Glucocorticoids Protect Against the Delayed Behavioral and Cellular Effects of Acute Stress on the Amygdala. Biological Psychiatry. 72(6). 466–475. 101 indexed citations
8.
Pillai, Anup G., Shobha Anilkumar, & Sumantra Chattarji. (2012). The Same Antidepressant Elicits Contrasting Patterns of Synaptic Changes in the Amygdala vs Hippocampus. Neuropsychopharmacology. 37(12). 2702–2711. 22 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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