Prabhat S. Kunwar

3.3k citations
13 papers · 1.9k · 1 hit paper · h-index 12

Impact in

Papers in

Prabhat S. Kunwar

13 papers receiving 1.9k citations

Prabhat S. Kunwar's Hit Papers

Genetic dissection of an amygdala microcircuit that gates conditioned fear 2010 · 648 citations
6480+5+10Years since publication200400600

Peers

Prabhat S. Kunwar
Comparison fields: 5 of 104
  • Behavioral Neuroscience 211
  • Cellular and Molecular Neuroscience 606
  • Endocrine and Autonomic Systems 183
  • Cognitive Neuroscience 487
  • Aging 35
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Citations per field
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Citations per year

Countries citing papers authored by Prabhat S. Kunwar

Since Specialization
Citations

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

Fields of papers citing papers by Prabhat S. Kunwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prabhat S. Kunwar. 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 Prabhat S. Kunwar. The network helps show where Prabhat S. Kunwar may publish in the future.

Co-authors

The 25 scholars most cited alongside Prabhat S. Kunwar, 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 Prabhat S. Kunwar Line = papers co-authored together Prabhat S. Kunwar links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Genetic dissection of an amygdala microcircuit that gates conditioned fear
Hit paper breakdown →
2010648
2 2003351
3 2015309
4 2004125
5 2003106
6 2006101
7 202086
8 200868
9 200346
10 201029
11 200917
12 201213
13 201411

About Prabhat S. Kunwar

Prabhat S. Kunwar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Cognitive Neuroscience and Genetics, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (5 papers), Neuroscience and Neuropharmacology Research (2 papers), Cellular Mechanics and Interactions (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Neurobiology and Insect Physiology Research (2 papers), Photoreceptor and optogenetics research (2 papers) and Silk-based biomaterials and applications (1 paper). The work is most often cited by research in Behavioral Neuroscience (211 citations), Cellular and Molecular Neuroscience (606 citations), Endocrine and Autonomic Systems (183 citations), Cognitive Neuroscience (487 citations) and Aging (35 citations). Prabhat S. Kunwar has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Ruth Lehmann, David J. Anderson, Haijiang Cai, Stéphane Ciocchi, Wulf Haubensak, Hong‐Wei Dong, Ravikumar Ponnusamy, Michael S. Fanselow, Karl Deisseroth and Nicholas Wall. Their work appears in journals such as Development, Nature, Developmental Biology, Annual Review of Cell and Developmental Biology and Current Biology.

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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