Muthuswamy Anusuyadevi

878 citations
33 papers · 675 indexed · h-index 14
Topics
Cholinesterase and Neurodegenerative Diseases (7 papers)Alzheimer's disease research and treatments (5 papers)Neuroscience and Neuropharmacology Research (4 papers)
Partner nations
IndiaOmanAustria

In The Last Decade

Muthuswamy Anusuyadevi

30 papers receiving 651 citations

Peers

Muthuswamy Anusuyadevi
Comparison fields: 5 of 96
  • Molecular Biology 226
  • Physiology 203
  • Neurology 106
  • Pharmacology 94
  • Cellular and Molecular Neuroscience 94
Replace Maria C. Jacques-Silva with:
Maria C. Jacques-Silva Brazil
Amarjot Kaur Grewal India
Noha N. Nassar Egypt
Eduardo Brambila Mexico
Juliana Navarro-Yepes United States
İshak Suat Övey Türkiye
Stella Calafato United States
Guodong Li China
Suhail Anees India
Myeung Hoon Jo South Korea
Muthuswamy Anusuyadevi relative to Maria C. Jacques-Silva Brazil Maria C. Jacques-Silva's profile →
Citations per field
00.5×1.5×1.8×
Maria C. Jacques-Silva · 1×
Citations per year

Countries citing papers authored by Muthuswamy Anusuyadevi

Since Specialization
Citations

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

Fields of papers citing papers by Muthuswamy Anusuyadevi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muthuswamy Anusuyadevi

This figure shows the co-authorship network connecting the top 25 collaborators of Muthuswamy Anusuyadevi. A scholar is included among the top collaborators of Muthuswamy Anusuyadevi 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 Muthuswamy Anusuyadevi. Muthuswamy Anusuyadevi 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 0
2 3
3 0
4 8
5 4
6 8
7 25
8 3
9 1
10 6
11 12
12 57
13 22
14 2
15 13
16 49
17 29
18
Role of L-Carnitine and DL- á -Lipoic acid on EEG pattern in aged Rat brain
1
19 88
20 69

About Muthuswamy Anusuyadevi

Muthuswamy Anusuyadevi is a scholar working on Geriatrics and Gerontology, Developmental Neuroscience and Neurology, having authored 33 papers that have together received 675 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (7 papers), Alzheimer's disease research and treatments (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Biological Psychiatry (36 citations), Neurology (106 citations) and Geriatrics and Gerontology (48 citations). Muthuswamy Anusuyadevi has collaborated with scholars based in India, Oman and Austria. Frequent co-authors include Chinnakannu Panneerselvam, Mahesh Kandasamy, Moorthi Ponnusamy, Shila Samuel, Kadirvel Ramanathan, M. Sathya, Tamilselvan Jayavelu, Musthafa Mohamed Essa, Gilles J. Guillemin and Ludwig Aigner. Their work appears in journals such as Neuroscience, Psychopharmacology and Clinica Chimica Acta.

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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