Aneesh Donde

692 citations
6 papers · 264 · h-index 6

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Amyotrophic Lateral Sclerosis Research 4
    • Transcranial Magnetic Stimulation Studies 1
    • Neuroinflammation and Neurodegeneration Mechanisms 1
    • Neurogenetic and Muscular Disorders Research 3

Aneesh Donde

6 papers receiving 263 citations

Peers

Aneesh Donde
Comparison fields: 5 of 50
  • Neurology 137
  • Genetics 76
  • Neurology 21
  • Aging 4
  • Cognitive Neuroscience 32
Replace Anne-Kathrin Lutz with:
Anne-Kathrin Lutz Germany
Amy W. Butler United Kingdom
Hannah Phillips United States
Ana Candalija United Kingdom
Hongfei Tai China
Hajer El Oussini France
Eiko N. Minakawa Japan
Michail Rentzos Greece
Marion T. Turnbull United States
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Citations per field
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Citations per year

Countries citing papers authored by Aneesh Donde

Since Specialization
Citations

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

Fields of papers citing papers by Aneesh Donde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Aneesh Donde, 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 Aneesh Donde Line = papers co-authored together Aneesh Donde links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Aneesh Donde

Aneesh Donde is a scholar working on Neurology, Genetics, Molecular Biology, Neurology and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 264 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Alzheimer's disease research and treatments (1 paper), Transcranial Magnetic Stimulation Studies (1 paper), Pluripotent Stem Cells Research (1 paper), Functional Brain Connectivity Studies (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Neurology (137 citations), Genetics (76 citations), Neurology (21 citations), Aging (4 citations) and Cognitive Neuroscience (32 citations). Aneesh Donde has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Philip C. Wong, Jonathan P. Ling, Kerstin E. Braunstein, Yun Ha Jeong, Katherine D. LaClair, Liam Chen, Mingkuan Sun, Cindee Madison, William J. Jagust and James P. O’Neil. Their work appears in journals such as Acta Neuropathologica, Molecular Neurodegeneration, Current Gene Therapy, Journal of Cognitive Neuroscience and Autophagy.

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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