Kusumika Gharami

1.3k citations
13 papers · 1.0k indexed · 1 hit paper · h-index 9
Topics
Neuroscience and Neuropharmacology Research (4 papers)Nerve injury and regeneration (4 papers)Neuroinflammation and Neurodegeneration Mechanisms (3 papers)
Partner nations
IndiaUnited States

In The Last Decade

Kusumika Gharami

12 papers receiving 994 citations

Hit Papers

Distinct Role of Long 3′ UTR BDNF mRNA in Spine Morpholog...20082026201420202008100200300400500

Peers

Kusumika Gharami
Comparison fields: 5 of 82
  • Molecular Biology 485
  • Cellular and Molecular Neuroscience 485
  • Developmental Neuroscience 169
  • Physiology 130
  • Endocrine and Autonomic Systems 109
Replace Sophie Reibel with:
Sophie Reibel France
K. Sato Japan
Emily G. Waterhouse United States
Sonya Marshak Israel
Qun-Yong Zhou United States
Paul Berghuis Sweden
Ángela Fontán‐Lozano Spain
Ana Chow United States
Luis M. Tuesta United States
Fei Zheng United States
Kusumika Gharami relative to Sophie Reibel France Sophie Reibel's profile →
Citations per field
00.5×2.6×
Sophie Reibel · 1×
Citations per year

Countries citing papers authored by Kusumika Gharami

Since Specialization
Citations

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

Fields of papers citing papers by Kusumika Gharami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kusumika Gharami

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 4
3 11
4 61
5 7
6 154
7
Distinct Role of Long 3′ UTR BDNF mRNA in Spine Morphology and Synaptic Plasticity in Hippocampal Neuronsbreakdown →
517
8 149
9 30
10 22
11 4
12 25
13 22

About Kusumika Gharami

Kusumika Gharami is a scholar working on Cellular and Molecular Neuroscience, Neurology and Toxicology, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Nerve injury and regeneration (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (169 citations), Cellular and Molecular Neuroscience (485 citations) and Endocrine and Autonomic Systems (109 citations). Kusumika Gharami has collaborated with scholars based in India and United States. Frequent co-authors include Juan Ji An, Baoji Xu, Filip Vanevski, Kevin R. Jones, Sumantra Das, Yue Feng, Newton H. Woo, Bai Lu, Anthony G. Lau and Enrique Torre. Their work appears in journals such as Cell, Nature Medicine and Journal of Neurochemistry.

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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2026