Vasudharani Devanathan

16 papers receiving 478 citations

Hit Papers

Neurotransmitter systems in the etiology of major neurological disorders: Emerging insights and therapeutic implications 2023 · 98 citations
980+1+2Years since publication255075

Peers

Vasudharani Devanathan
Comparison fields: 5 of 114
  • Drug Discovery 2
  • Neurology 49
  • Pharmacology 48
  • Cellular and Molecular Neuroscience 78
  • Biological Psychiatry 10
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Countries citing papers authored by Vasudharani Devanathan

Since Specialization
Citations

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

Fields of papers citing papers by Vasudharani Devanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Antimicrobial and Antioxidant Efficacy of Some Medicinal Plants Against Food Borne Pathogens
2010109
2
Neurotransmitter systems in the etiology of major neurological disorders: Emerging insights and therapeutic implications
Hit paper breakdown →
202398
3 202053
4 201042
5 201440
6 201535
7 201834
8 202029
9 201423
10 201217
11 20188
12 20218
13 20196
14 20195
15 20194
16 20143
17 20240
18 20250

About Vasudharani Devanathan

Vasudharani Devanathan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Neurology and Nutrition and Dietetics, having authored 18 papers that have together received 514 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (2 papers), Neurological diseases and metabolism (2 papers), Ion channel regulation and function (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Retinal Development and Disorders (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Drug Discovery (2 citations), Neurology (49 citations), Pharmacology (48 citations), Cellular and Molecular Neuroscience (78 citations) and Biological Psychiatry (10 citations). Vasudharani Devanathan has collaborated with scholars based in India, Germany and United States. Frequent co-authors include L. Muruganandam, Harshini Chakravarthy, Jangampalli Adi Pradeepkiran, Ambrish Saxena, D. Köhler, Peter Rosenberger, Tiago Granja, Hyun Joon Lee, Vladimir Sytnyk and Melitta Schachner. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, PLoS ONE, Journal of Molecular Neuroscience, Journal of Neuroscience and Frontiers in 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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