Ashutosh Dalvi

9 papers receiving 1.3k citations

Peers

Ashutosh Dalvi
Comparison fields: 5 of 82
  • Biological Psychiatry 203
  • Behavioral Neuroscience 296
  • Cellular and Molecular Neuroscience 729
  • Developmental Neuroscience 140
  • Pharmacology 204
Replace Gaëlle Naert with:
Gaëlle Naert France
M. Yu. Stepanichev Russia
Carrol D’Sa United States
Alexandre Urani France
Marianne Léger France
L Jaworska-Feil Poland
Maureen V. Martin United States
Fraser Murray United Kingdom
Shikha Snigdha United States
Jorge Pérez Italy
Ashutosh Dalvi relative to Gaëlle Naert France Gaëlle Naert's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ashutosh Dalvi

Since Specialization
Citations

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

Fields of papers citing papers by Ashutosh Dalvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ashutosh Dalvi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ashutosh Dalvi Line = papers co-authored together Ashutosh Dalvi links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2001432
2 2002274
3 2004179
4 2000147
5 1999102
6
Use of dopamine-beta-hydroxylase-deficient mice to determine the role of norepinephrine in the mechanism of action of antidepressant drugs.
200186
7 200275
8 200349
9 200140

About Ashutosh Dalvi

Ashutosh Dalvi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Social Psychology, Pharmacology and Biological Psychiatry, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (3 papers), Neuroendocrine regulation and behavior (2 papers), Attention Deficit Hyperactivity Disorder (1 paper), Tryptophan and brain disorders (1 paper), Treatment of Major Depression (1 paper) and Electrolyte and hormonal disorders (1 paper). The work is most often cited by research in Biological Psychiatry (203 citations), Behavioral Neuroscience (296 citations), Cellular and Molecular Neuroscience (729 citations), Developmental Neuroscience (140 citations) and Pharmacology (204 citations). Ashutosh Dalvi has collaborated with scholars based in United States, Ireland and Denmark. Frequent co-authors include Irwin Lucki, Arthur J. Mayorga, John F. Cryan, Julie A. Blendy, Alana C. Conti, Bradford R. Hirsch, Sung‐Ha Jin, Steven Thomas, Michelle E. Page and Sandy Hogg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Psychopharmacology, Journal of Pharmacology and Experimental Therapeutics, Pharmacology Biochemistry and Behavior 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.

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