Shakti Sharma
- Behavioral Neuroscience top 0.02%
- Social Psychology top 0.1%
- Pediatrics, Perinatology and Child Health top 0.1%
- Molecular Biology top 5%
- Clinical Psychology top 0.5%
- Co-authors
- Michael J. MeaneyFrances A. ChampagneIan C.G. WeaverMoshe SzyfSergiy DymovPaul M. PlotskyChristian CaldjiJonathan R. Seckl
- Topics
- Stress Responses and Cortisol (21 papers)Neuroendocrine regulation and behavior (15 papers)Tryptophan and brain disorders (6 papers)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Shakti Sharma
30 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Behavioral Neuroscience 5.4k
- Social Psychology 5.3k
- Pediatrics, Perinatology and Child Health 3.3k
- Molecular Biology 2.4k
- Clinical Psychology 1.9k
Countries citing papers authored by Shakti Sharma
This map shows the geographic impact of Shakti Sharma'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 Shakti Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shakti Sharma more than expected).
Fields of papers citing papers by Shakti Sharma
This network shows the impact of papers produced by Shakti Sharma. 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 Shakti Sharma. The network helps show where Shakti Sharma may publish in the future.
Co-authorship network of co-authors of Shakti Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Shakti Sharma. A scholar is included among the top collaborators of Shakti Sharma 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 Shakti Sharma. Shakti Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 130 | |
| 7 | 352 | |
| 8 | 41 | |
| 9 | 412 | |
| 10 | Epigenetic programming by maternal behaviorbreakdown → | 4150 |
| 11 | 136 | |
| 12 | Maternal care during infancy regulates the development of neural systems mediating the expression of fearfulness in the ratbreakdown → | 1085 |
| 13 | 57 | |
| 14 | 21 | |
| 15 | 87 | |
| 16 | Early Environmental Regulation of Forebrain Glucocorticoid Receptor Gene Expression: Implications for Adrenocortical Responses to Stress; pp. 49–60breakdown → | 726 |
| 17 | 135 | |
| 18 | 33 | |
| 19 | 415 | |
| 20 | 172 |
About Shakti Sharma
Shakti Sharma is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Social Psychology, having authored 33 papers that have together received 12.1k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (21 papers), Neuroendocrine regulation and behavior (15 papers) and Tryptophan and brain disorders (6 papers). The work is most often cited by research in Behavioral Neuroscience (5.4k citations), Biological Psychiatry (1.2k citations) and Social Psychology (5.3k citations). Shakti Sharma has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Michael J. Meaney, Frances A. Champagne, Ian C.G. Weaver, Moshe Szyf, Sergiy Dymov, Paul M. Plotsky, Christian Caldji, Jonathan R. Seckl, Josie Diorio and Darlene Francis. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.