Vijay Chandrasekar

777 citations
9 papers · 614 indexed · h-index 8
Topics
Neurogenesis and neuroplasticity mechanisms (3 papers)Stress Responses and Cortisol (2 papers)MicroRNA in disease regulation (2 papers)
Partner nations
SwitzerlandSwedenGermany

In The Last Decade

Vijay Chandrasekar

9 papers receiving 608 citations

Peers

Vijay Chandrasekar
Comparison fields: 5 of 72
  • Molecular Biology 339
  • Cancer Research 294
  • Cellular and Molecular Neuroscience 139
  • Developmental Neuroscience 137
  • Neurology 105
Replace Katelin P. Patterson with:
Katelin P. Patterson United States
Kyongman An South Korea
Alejandro Amador‐Arjona Spain
Pascal Bielefeld Netherlands
Gabriele Siegel Germany
Gary P. Brennan Ireland
John Bohnsack United States
Núria Gavaldà Spain
Faraz Sultan United States
Takeshi Shimizu Japan
Vijay Chandrasekar relative to Katelin P. Patterson United States Katelin P. Patterson's profile →
Citations per field
00.5×3.4×
Katelin P. Patterson · 1×
Citations per year

Countries citing papers authored by Vijay Chandrasekar

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Chandrasekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Chandrasekar

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 101
2 80
3 13
4 154
5 15
6 231
7 9
8
Molecular and Cellular Neuroscience
9
9 2

About Vijay Chandrasekar

Vijay Chandrasekar is a scholar working on Developmental Neuroscience, Behavioral Neuroscience and Biological Psychiatry, having authored 9 papers that have together received 614 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (3 papers), Stress Responses and Cortisol (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Developmental Neuroscience (137 citations), Cancer Research (294 citations) and Biological Psychiatry (33 citations). Vijay Chandrasekar has collaborated with scholars based in Switzerland, Sweden and Germany. Frequent co-authors include Jean‐Luc Dreyer, Amine Bahí, Burkhard Becher, Helge C. Johannssen, Frank L. Heppner, Tom Hartwig, Hanns Ulrich Zeilhofer, Bettina Schreiner, Barbara Ingold‐Heppner and Martin Kerschensteiner. Their work appears in journals such as Neuropsychopharmacology, Psychopharmacology and Cell Reports.

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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