Ankur Thomas

1.1k total citations
9 papers, 843 citations indexed

About

Ankur Thomas is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Ankur Thomas has authored 9 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Ankur Thomas's work include Neuroscience and Neuropharmacology Research (4 papers), Axon Guidance and Neuronal Signaling (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Ankur Thomas is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Axon Guidance and Neuronal Signaling (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Ankur Thomas collaborates with scholars based in United States, Sweden and Australia. Ankur Thomas's co-authors include Joseph J. LoTurco, Jilin Bai, Richard V. Lee, James B. Ackman, Raddy L. Ramos, Y. Wang, Glenn D. Rosen, Nina Kaminen‐Ahola, Jan L. A. Voskuil and Albert M. Galaburda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and Neurology.

In The Last Decade

Ankur Thomas

9 papers receiving 835 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ankur Thomas United States 7 343 255 234 230 218 9 843
Isabel Martínez‐Garay United Kingdom 15 587 1.7× 186 0.7× 355 1.5× 418 1.8× 37 0.2× 26 1.0k
Fabien Fauchereau France 13 606 1.8× 520 2.0× 196 0.8× 63 0.3× 84 0.4× 17 1.2k
Julia V. Perederiy United States 8 441 1.3× 505 2.0× 172 0.7× 134 0.6× 113 0.5× 8 1.0k
Fuyi Chen United States 13 364 1.1× 71 0.3× 160 0.7× 118 0.5× 38 0.2× 25 793
Carina Hanashima Japan 17 832 2.4× 299 1.2× 362 1.5× 425 1.8× 14 0.1× 29 1.2k
Lili C. Kudo United States 13 607 1.8× 238 0.9× 138 0.6× 73 0.3× 73 0.3× 21 1.1k
Kay E. Davies United Kingdom 8 701 2.0× 321 1.3× 102 0.4× 80 0.3× 42 0.2× 15 977
Hua Tang China 12 564 1.6× 134 0.5× 371 1.6× 435 1.9× 10 0.0× 24 1.0k
Shen‐Ju Chou Taiwan 20 962 2.8× 355 1.4× 535 2.3× 405 1.8× 15 0.1× 31 1.6k
Jing Ou United States 6 480 1.4× 224 0.9× 96 0.4× 144 0.6× 59 0.3× 7 750

Countries citing papers authored by Ankur Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Ankur Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Thomas

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

All Works

9 of 9 papers shown
1.
2.
Wipke, Brian T., Robert Hoepner, Katrin Straßburger-Krogias, et al.. (2021). Different Fumaric Acid Esters Elicit Distinct Pharmacologic Responses. Neurology Neuroimmunology & Neuroinflammation. 8(2). 12 indexed citations
3.
Wei, Ru, Christopher A. Hinckley, Benbo Gao, et al.. (2021). Developmental synaptic regulator, TWEAK/Fn14 signaling, is a determinant of synaptic function in models of stroke and neurodegeneration. Proceedings of the National Academy of Sciences. 118(6). 24 indexed citations
4.
Nelson, Ashley N., et al.. (2020). Temporal Progression of Excitotoxic Calcium Following Distal Middle Cerebral Artery Occlusion in Freely Moving Mice. Frontiers in Cellular Neuroscience. 14. 566789–566789. 6 indexed citations
5.
Brennan, Melanie S., Norm Allaire, David Huss, et al.. (2014). Dimethyl Fumarate and Monomethyl Fumarate are Distinguished by Non-Overlapping Pharmacodynamic Effects In Vivo (P1.206). Neurology. 82(10_supplement). 4 indexed citations
6.
Paracchini, Silvia, Ankur Thomas, Sandra C. de Castro, et al.. (2006). The chromosome 6p22 haplotype associated with dyslexia reduces the expression of KIAA0319 , a novel gene involved in neuronal migration. Human Molecular Genetics. 15(10). 1659–1666. 203 indexed citations
7.
Wang, Y., M. E. Paramasivam, Ankur Thomas, et al.. (2006). DYX1C1 functions in neuronal migration in developing neocortex. Neuroscience. 143(2). 515–522. 115 indexed citations
8.
Bai, Jilin, Raddy L. Ramos, James B. Ackman, et al.. (2003). RNAi reveals doublecortin is required for radial migration in rat neocortex. Nature Neuroscience. 6(12). 1277–1283. 427 indexed citations
9.
Savić, Ivanka, Ankur Thomas, Yuhe Ke, et al.. (2000). In vivo measurements of glutamine+ glutamate (Glx) and N-acetyl aspartate (NAA) levels in human partial epilepsy. Acta Neurologica Scandinavica. 102(3). 179–188. 35 indexed citations

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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