T. Acharya

779 total citations
6 papers, 209 citations indexed

About

T. Acharya is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, T. Acharya has authored 6 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 2 papers in Neurology and 1 paper in Molecular Biology. Recurrent topics in T. Acharya's work include Genetic Neurodegenerative Diseases (3 papers), Neurological disorders and treatments (2 papers) and Parkinson's Disease Mechanisms and Treatments (1 paper). T. Acharya is often cited by papers focused on Genetic Neurodegenerative Diseases (3 papers), Neurological disorders and treatments (2 papers) and Parkinson's Disease Mechanisms and Treatments (1 paper). T. Acharya collaborates with scholars based in United Kingdom, United States and Australia. T. Acharya's co-authors include Rachael I. Scahill, Sarah J. Tabrizi, Douglas R. Langbehn, Hans J. Johnson, Simon J.A. van den Bogaard, Raymund A.C. Roos, Eve M. Dumas, Mark A. van Buchem, Jeroen van der Grond and Julie C. Stout and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

T. Acharya

4 papers receiving 204 citations

Peers

T. Acharya
Comparison fields: 5 of 37
  • Cellular and Molecular Neuroscience 186
  • Neurology 164
  • Molecular Biology 89
  • Cognitive Neuroscience 20
  • Radiology, Nuclear Medicine and Imaging 16
Replace N Bechtel with:
N Bechtel United Kingdom
M. Gaudreault Canada
Olaf Rieß Germany
Marie‐Noëlle W. Witjes‐Ané Netherlands
Jennifer Panagoulias United States
Rachelle Dar Santos Canada
Luis E. Almaguer-Mederos Cuba
Hélène Boivin Canada
K. Liang Netherlands
Robin Schubert Germany
N Bechtel United Kingdom View profile →
Citations per field, relative to T. Acharya
T. Acharya · 1×
Citations per year, relative to T. Acharya
T. Acharya · 1×

Countries citing papers authored by T. Acharya

Since Specialization
Citations

This map shows the geographic impact of T. Acharya'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 T. Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Acharya more than expected).

Fields of papers citing papers by T. Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Acharya

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 104
5 1
6 103

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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