Deepa V. Venkitaramani

1.1k citations
20 papers · 896 indexed · h-index 14
Topics
Neuroscience and Neuropharmacology Research (11 papers)Protein Tyrosine Phosphatases (6 papers)Alzheimer's disease research and treatments (5 papers)
Partner nations
United StatesQatarCanada

In The Last Decade

Deepa V. Venkitaramani

20 papers receiving 887 citations

Peers

Deepa V. Venkitaramani
Comparison fields: 5 of 73
  • Molecular Biology 491
  • Cellular and Molecular Neuroscience 470
  • Physiology 295
  • Neurology 159
  • Cognitive Neuroscience 147
Replace Soong Ho Kim with:
Soong Ho Kim United States
Hanmi Lee United States
Susan Goebel-Goody United States
Robert Waltereit Germany
Kenya Kaneko Japan
Jessica L. Saulnier United States
Anna Karpova Germany
Paul Nguyen United States
José Luis Galbete Switzerland
Caroline Kent United States
Deepa V. Venkitaramani relative to Soong Ho Kim United States Soong Ho Kim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Deepa V. Venkitaramani

Since Specialization
Citations

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

Fields of papers citing papers by Deepa V. Venkitaramani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepa V. Venkitaramani. 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 Deepa V. Venkitaramani. The network helps show where Deepa V. Venkitaramani may publish in the future.

Co-authorship network of co-authors of Deepa V. Venkitaramani

This figure shows the co-authorship network connecting the top 25 collaborators of Deepa V. Venkitaramani. A scholar is included among the top collaborators of Deepa V. Venkitaramani 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 Deepa V. Venkitaramani. Deepa V. Venkitaramani 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
1 56
2 22
3 23
4 4
5 53
6 8
7 183
8 21
9 154
10 70
11 24
12 23
13 6
14 97
15 16
16 42
17 1
18 86
19 3
20 4

About Deepa V. Venkitaramani

Deepa V. Venkitaramani is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology, having authored 20 papers that have together received 896 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Protein Tyrosine Phosphatases (6 papers) and Alzheimer's disease research and treatments (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (470 citations), Neurology (159 citations) and Developmental Neuroscience (68 citations). Deepa V. Venkitaramani has collaborated with scholars based in United States, Qatar and Canada. Frequent co-authors include Paul J. Lombroso, Pradeep Kurup, Yongfang Zhang, Jian Xu, Paul Greengard, Yang Zhang, Vahram Haroutunian, Angus C. Nairn, Marina R. Picciotto and Clare M. Gladding. Their work appears in journals such as Journal of Neuroscience, The Journal of Physiology and Journal of Neurophysiology.

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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