T. Acharya

16 total papers · 770 total citations
6 papers, 207 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 207 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 Wildlife Ecology and Conservation (1 paper). T. Acharya is often cited by papers focused on Genetic Neurodegenerative Diseases (3 papers), Neurological disorders and treatments (2 papers) and Wildlife Ecology and Conservation (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, Mark A. van Buchem, Jeroen van der Grond, Raymund A.C. Roos, Eve M. Dumas and David H. Salat 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 202 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
T. Acharya	184	162	89	20	16	6	207
Alison O’Regan	162 0.9×	128 0.8×	83 0.9×	46 2.3×	9 0.6×	8	228
Ken Stauderman	104 0.6×	61 0.4×	153 1.7×	10 0.5×	5 0.3×	6	232
Jennifer Panagoulias	112 0.6×	95 0.6×	67 0.8×	13 0.7×	6 0.4×	7	180
Anne‐Evelyne Vallet	81 0.4×	150 0.9×	36 0.4×	30 1.5×	14 0.9×	7	224
Charlotte Golding	198 1.1×	185 1.1×	66 0.7×	57 2.9×	76 4.8×	5	280
Andrea Sollom	171 0.9×	142 0.9×	63 0.7×	18 0.9×	2 0.1×	4	232
Leonard H. van den Berg	86 0.5×	129 0.8×	46 0.5×	57 2.9×	34 2.1×	8	248
Anne Leserman	156 0.8×	114 0.7×	69 0.8×	15 0.8×	2 0.1×	5	190
Claire Heise	202 1.1×	223 1.4×	20 0.2×	33 1.6×	20 1.3×	6	286
Juan García Caldentey	88 0.5×	62 0.4×	53 0.6×	23 1.1×	4 0.3×	6	228

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

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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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