Supriya Ghosh

945 total citations
10 papers, 595 citations indexed

About

Supriya Ghosh is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Supriya Ghosh has authored 10 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Behavioral Neuroscience. Recurrent topics in Supriya Ghosh's work include Stress Responses and Cortisol (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Memory and Neural Mechanisms (4 papers). Supriya Ghosh is often cited by papers focused on Stress Responses and Cortisol (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Memory and Neural Mechanisms (4 papers). Supriya Ghosh collaborates with scholars based in India, United States and Nepal. Supriya Ghosh's co-authors include Sumantra Chattarji, Aparna Suvrathan, Anupratap Tomar, Mohammed Mostafizur Rahman, T. Rao Laxmi, Shobha Anilkumar, Sharath Bennur, John H. R. Maunsell, Biswabina Ray and Yan Tang and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Supriya Ghosh

9 papers receiving 586 citations

Peers

Supriya Ghosh
Comparison fields: 5 of 80
  • Behavioral Neuroscience 291
  • Cognitive Neuroscience 290
  • Cellular and Molecular Neuroscience 203
  • Social Psychology 171
  • Biological Psychiatry 80
Replace Anupratap Tomar with:
Anupratap Tomar Japan
Mollee R. Farrell United States
Kenneth M. McCullough United States
Nadia Kaouane France
Stephanie Ridder Germany
Mallika Padival United States
Shannon R. Blume United States
Minghui Wang China
Sarah A. Jablonski United States
Jianli Yang China
Anupratap Tomar Japan View profile →
Citations per field, relative to Supriya Ghosh
Supriya Ghosh · 1×
Citations per year, relative to Supriya Ghosh
Supriya Ghosh · 1×

Countries citing papers authored by Supriya Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Supriya Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriya Ghosh

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 14
2 6
3 3
4 12
5 199
6 152
7 87
8 89
9
A study on anterior clinoid process and optic strut with emphasis on variations of caroticoclinoid foramen.
33
10
Renal dimensions in Nepalese population: a preliminary study.
0

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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