Divya Channappa

3.4k citations
10 papers · 449 · h-index 7

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 5
    • Parkinson's Disease Mechanisms and Treatments 1

Divya Channappa

10 papers receiving 443 citations

Peers

Divya Channappa
Comparison fields: 5 of 59
  • Neurology 179
  • Biological Psychiatry 40
  • Neurology 79
  • Developmental Neuroscience 19
  • Immunology 75
Replace Romina Aron-Badin with:
Romina Aron-Badin France
Anne-Claire Dupont France
Paul Su United Kingdom
Maximilian Deußing Germany
Meredith Harrison‐Brown Australia
Fatma Zaguia United States
Beatriz Rodriguez‐Grande France
Carmen Muñoz‐Ballester United States
Yueshan Fan China
Kijana K. George United States
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Citations per field
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Citations per year

Countries citing papers authored by Divya Channappa

Since Specialization
Citations

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

Fields of papers citing papers by Divya Channappa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2021149
2 2022122
3 202063
4 201735
5 202533
6 201229
7 202111
8 20234
9 20192
10 20221

About Divya Channappa

Divya Channappa is a scholar working on Neurology, Aging, Biological Psychiatry, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 449 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Tryptophan and brain disorders (1 paper), Dementia and Cognitive Impairment Research (1 paper), Olfactory and Sensory Function Studies (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Neurology (179 citations), Biological Psychiatry (40 citations), Neurology (79 citations), Developmental Neuroscience (19 citations) and Immunology (75 citations). Divya Channappa has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Hamilton Se‐Hwee Oh, Tony Wyss‐Coray, Victor W. Henderson, David Gate, Douglas R Galasko, Marian Shahid, Kathleen L. Poston, Anthony D. Wagner, Olivia Leventhal and Elizabeth C. Mormino. Their work appears in journals such as Alzheimer s & Dementia, Protein Engineering Design and Selection, Nature Medicine, Science and Molecular Neurodegeneration.

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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