Sumitra Chakraverty

952 citations
13 papers · 693 · h-index 9

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Amyotrophic Lateral Sclerosis Research
    • Neurological diseases and metabolism
  • Physiology top 10%
    • Alzheimer's disease research and treatments
    • Lysosomal Storage Disorders Research

Papers in

    • Alzheimer's disease research and treatments 3
    • Asthma and respiratory diseases 2
    • Ion channel regulation and function 1

Sumitra Chakraverty

13 papers receiving 677 citations

Peers

Sumitra Chakraverty
Comparison fields: 5 of 68
  • Neurology 254
  • Neurology 117
  • Physiology 359
  • Cellular and Molecular Neuroscience 176
  • Aging 12
Replace Marija Usenovic with:
Marija Usenovic United States
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Hitoshi Takahashi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Sumitra Chakraverty

Since Specialization
Citations

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

Fields of papers citing papers by Sumitra Chakraverty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2012206
2 1998111
3 201190
4 201379
5 199861
6 199742
7 199540
8 201230
9 199713
10 19868
11 20097
12 19954
13
Possible association between the dopamine D3 receptor gene and bipolar affective disorder
19942

About Sumitra Chakraverty

Sumitra Chakraverty is a scholar working on Physiology, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 13 papers that have together received 693 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Genomics and Rare Diseases (3 papers), Bipolar Disorder and Treatment (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Asthma and respiratory diseases (2 papers), Pancreatic function and diabetes (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Neurology (254 citations), Neurology (117 citations), Physiology (359 citations), Cellular and Molecular Neuroscience (176 citations) and Aging (12 citations). Sumitra Chakraverty has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Alison Goate, Carlos Cruchaga, Kevin H. Mayo, Abbas Parsian, Bradley F. Boeve, Joanne Norton, Richard Mayeux, Neill R. Graff‐Radford, Kelley Faber and Tatiana Foroud. Their work appears in journals such as Neurology, PLoS ONE, The American Journal of Human Genetics, Clinical Radiology and Analytical Biochemistry.

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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