Sumana Chakravarty

7.8k citations
100 papers · 4.3k indexed · 1 hit paper · h-index 32
Topics
Neuroinflammation and Neurodegeneration Mechanisms (14 papers)Stress Responses and Cortisol (12 papers)Neurotransmitter Receptor Influence on Behavior (9 papers)
Partner nations
IndiaUnited StatesFrance

In The Last Decade

Sumana Chakravarty

96 papers receiving 4.2k citations

Hit Papers

Mania-like behavior induced by disruption of CLOCK20072026201320192007200400600

Peers

Sumana Chakravarty
Comparison fields: 5 of 138
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 944
  • Endocrine and Autonomic Systems 703
  • Behavioral Neuroscience 615
  • Biological Psychiatry 570
Replace Haim Einat with:
Haim Einat Israel
Wai Haung Yu United States
Stacey J. Sukoff Rizzo United States
Iiris Hovatta Finland
Pyung‐Lim Han South Korea
Michel Goiny Sweden
Xiaoxi Zhuang United States
Yann S. Mineur United States
Gonzalo Flores Mexico
Ai‐Min Bao China
Sumana Chakravarty relative to Haim Einat Israel Haim Einat's profile →
Citations per field
00.5×1.5×
Haim Einat · 1×
Citations per year

Countries citing papers authored by Sumana Chakravarty

Since Specialization
Citations

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

Fields of papers citing papers by Sumana Chakravarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumana Chakravarty

This figure shows the co-authorship network connecting the top 25 collaborators of Sumana Chakravarty. A scholar is included among the top collaborators of Sumana Chakravarty 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 Sumana Chakravarty. Sumana Chakravarty 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
#WorkIndexed citations
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2 1
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4 2
5 0
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8 5
9 7
10 25
11 41
12 68
13 60
14 38
15 33
16 36
17 58
18
Mania-like behavior induced by disruption of CLOCKbreakdown →
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About Sumana Chakravarty

Sumana Chakravarty is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Neurology, having authored 100 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Stress Responses and Cortisol (12 papers) and Neurotransmitter Receptor Influence on Behavior (9 papers). The work is most often cited by research in Biological Psychiatry (570 citations), Behavioral Neuroscience (615 citations) and Endocrine and Autonomic Systems (703 citations). Sumana Chakravarty has collaborated with scholars based in India, United States and France. Frequent co-authors include Miles Herkenham, Arvind Kumar, Eric J. Nestler, Colleen A. McClung, Scott J. Russo, Vaishnav Krishnan, Ami Graham, Shari G. Birnbaum, Bommana Raghunath Reddy and Vincent Vialou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron 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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