Amita Quadros

1.3k citations
18 papers · 1.1k indexed · h-index 14
Topics
Alzheimer's disease research and treatments (15 papers)Nuclear Receptors and Signaling (5 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)
Partner nations
United States

In The Last Decade

Amita Quadros

18 papers receiving 1.1k citations

Peers

Amita Quadros
Comparison fields: 5 of 80
  • Physiology 673
  • Neurology 403
  • Molecular Biology 334
  • Pharmacology 156
  • Cellular and Molecular Neuroscience 150
Replace Nikunj Patel with:
Nikunj Patel United States
Brandy Wilkinson United States
Lisa M. Jungbauer United States
Alessia Maddalena Switzerland
Deanna Koger United States
Doris Dea Canada
Katherine R. Sadleir United States
Carol Lin United States
Deepa Ajit United States
Yasushi Tomidokoro Japan
Amita Quadros relative to Nikunj Patel United States Nikunj Patel's profile →
Citations per field
00.5×1.5×
Nikunj Patel · 1×
Citations per year

Countries citing papers authored by Amita Quadros

Since Specialization
Citations

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

Fields of papers citing papers by Amita Quadros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amita Quadros

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 4
2 92
3 13
4 36
5 15
6 32
7 3
8 69
9 28
10 30
11 13
12 245
13 73
14 122
15 67
16 106
17 18
18 105

About Amita Quadros

Amita Quadros is a scholar working on Neurology, Physiology and Biological Psychiatry, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (15 papers), Nuclear Receptors and Signaling (5 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). The work is most often cited by research in Neurology (403 citations), Biological Psychiatry (97 citations) and Physiology (673 citations). Amita Quadros has collaborated with scholars based in United States. Frequent co-authors include Michael Mullan, Daniel Paris, Nikunj Patel, Fiona Crawford, Venkatarajan S. Mathura, James Humphrey, Anthony DelleDonne, Robert M. Crescentini, Ghania Ait‐Ghezala and Vincent Laporte. Their work appears in journals such as Brain Research, Biochemical and Biophysical Research Communications and European Journal of Pharmacology.

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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