Jyothi Arikkath

5.8k total citations · 1 hit paper
39 papers, 2.6k citations indexed

About

Jyothi Arikkath is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Jyothi Arikkath has authored 39 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 21 papers in Molecular Biology and 9 papers in Cell Biology. Recurrent topics in Jyothi Arikkath's work include Neuroscience and Neuropharmacology Research (13 papers), Axon Guidance and Neuronal Signaling (9 papers) and Wnt/β-catenin signaling in development and cancer (9 papers). Jyothi Arikkath is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Axon Guidance and Neuronal Signaling (9 papers) and Wnt/β-catenin signaling in development and cancer (9 papers). Jyothi Arikkath collaborates with scholars based in United States, Russia and China. Jyothi Arikkath's co-authors include Kevin P. Campbell, Louis F. Reichardt, Yang Yuan, Gerard M. J. Beaudoin, Ricardo Felix, Li Yuan, Yasuo Mori, Connie L. Mahaffey, Alicia Valenzuela and Shilpa Buch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Jyothi Arikkath

38 papers receiving 2.6k citations

Hit Papers

Culturing pyramidal neurons from the early postnatal mous... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jyothi Arikkath United States 19 1.6k 1.4k 373 344 240 39 2.6k
John Marshall United States 28 1.8k 1.1× 1.3k 0.9× 378 1.0× 210 0.6× 286 1.2× 44 2.9k
Björn Falkenburger Germany 28 1.4k 0.9× 1.1k 0.8× 475 1.3× 344 1.0× 179 0.7× 105 2.8k
Juan Carlos Tapia Chile 30 1.9k 1.2× 1.1k 0.8× 285 0.8× 425 1.2× 124 0.5× 70 3.5k
Antonio Malgaroli Italy 27 2.2k 1.4× 1.9k 1.4× 645 1.7× 430 1.3× 116 0.5× 74 3.8k
Makoto Itakura Japan 26 986 0.6× 870 0.6× 445 1.2× 266 0.8× 154 0.6× 81 2.0k
Jung-Hwa Tao-Cheng United States 31 1.9k 1.2× 2.0k 1.5× 809 2.2× 440 1.3× 221 0.9× 77 3.7k
Koko Ishizuka United States 21 1.4k 0.9× 714 0.5× 144 0.4× 306 0.9× 431 1.8× 59 2.5k
Per Ekström Sweden 38 2.3k 1.5× 1.2k 0.9× 398 1.1× 296 0.9× 153 0.6× 105 4.0k
Hans‐Christian Kornau Germany 16 2.2k 1.4× 2.2k 1.6× 580 1.6× 311 0.9× 185 0.8× 22 3.4k
Hee Jung Chung United States 25 1.9k 1.2× 2.3k 1.7× 399 1.1× 283 0.8× 208 0.9× 57 3.2k

Countries citing papers authored by Jyothi Arikkath

Since Specialization
Citations

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

Fields of papers citing papers by Jyothi Arikkath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyothi Arikkath

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

All Works

20 of 20 papers shown
1.
Chanda, Soham, et al.. (2023). The autism-associated loss of δ-catenin functions disrupts social behavior. Proceedings of the National Academy of Sciences. 120(22). e2300773120–e2300773120. 9 indexed citations
3.
Seong, Eunju, Li Yuan, Yu Cai, et al.. (2020). δ-Catenin engages the autophagy pathway to sculpt the developing dendritic arbor. Journal of Biological Chemistry. 295(32). 10988–11001. 7 indexed citations
4.
Ji, Hong, Adriana Paulucci-Holthauzen, Aaron Wolfe, et al.. (2020). Novel phospho-switch function of delta-catenin in dendrite development. The Journal of Cell Biology. 219(11). 20 indexed citations
5.
Arikkath, Jyothi. (2020). Mechanisms of axon polarization in pyramidal neurons. Molecular and Cellular Neuroscience. 107. 103522–103522. 5 indexed citations
6.
Dravid, Shashank M., et al.. (2018). In the Telencephalon, GluN2C NMDA Receptor Subunit mRNA is Predominately Expressed in Glial Cells and GluN2D mRNA in Interneurons. Neurochemical Research. 44(1). 61–77. 40 indexed citations
7.
Yuan, Li, et al.. (2018). Neuron-Type Specific Loss of CDKL5 Leads to Alterations in mTOR Signaling and Synaptic Markers. Molecular Neurobiology. 56(6). 4151–4162. 17 indexed citations
8.
Yuan, Li & Jyothi Arikkath. (2017). Functional roles of p120ctn family of proteins in central neurons. Seminars in Cell and Developmental Biology. 69. 70–82. 19 indexed citations
9.
Nguyen, Tan H., Mikhail E. Kandel, Catherine Best‐Popescu, et al.. (2017). Halo-free Phase Contrast Microscopy. Scientific Reports. 7(1). 44034–44034. 31 indexed citations
10.
Yuan, Yang, et al.. (2015). Differential regulation of apical–basolateral dendrite outgrowth by activity in hippocampal neurons. Frontiers in Cellular Neuroscience. 9. 314–314. 4 indexed citations
11.
Arikkath, Jyothi, et al.. (2015). Validation of Flow Cytometry and Magnetic Bead-Based Methods to Enrich CNS Single Cell Suspensions for Quiescent Microglia. Journal of Neuroimmune Pharmacology. 10(4). 655–665. 7 indexed citations
12.
Arikkath, Jyothi, I‐Feng Peng, Inbal Israely, et al.. (2009). δ-Catenin Regulates Spine and Synapse Morphogenesis and Function in Hippocampal Neurons during Development. Journal of Neuroscience. 29(17). 5435–5442. 67 indexed citations
13.
Arikkath, Jyothi. (2009). Regulation of Dendrite and Spine Morphogenesis and Plasticity by Catenins. Molecular Neurobiology. 40(1). 46–54. 15 indexed citations
14.
Arikkath, Jyothi, Inbal Israely, Yanmei Tao, et al.. (2008). Erbin Controls Dendritic Morphogenesis by Regulating Localization of δ-Catenin. Journal of Neuroscience. 28(28). 7047–7056. 37 indexed citations
15.
Arikkath, Jyothi & Louis F. Reichardt. (2008). Cadherins and catenins at synapses: roles in synaptogenesis and synaptic plasticity. Trends in Neurosciences. 31(9). 487–494. 224 indexed citations
16.
Sandoval, Alejandro, Jyothi Arikkath, Eduardo Monjaraz, Kevin P. Campbell, & Ricardo Felix. (2007). γ1-Dependent Down-regulation of Recombinant Voltage-gated Ca2+ Channels. Cellular and Molecular Neurobiology. 27(7). 901–908. 13 indexed citations
17.
Arikkath, Jyothi, Chien‐Chang Chen, Christopher A. Ahern, et al.. (2003). γ1 Subunit Interactions within the Skeletal Muscle L-type Voltage-gated Calcium Channels. Journal of Biological Chemistry. 278(2). 1212–1219. 36 indexed citations
18.
Arikkath, Jyothi & Kevin P. Campbell. (2003). Auxiliary subunits: essential components of the voltage-gated calcium channel complex. Current Opinion in Neurobiology. 13(3). 298–307. 400 indexed citations
19.
Arikkath, Jyothi, Ricardo Felix, Christopher A. Ahern, et al.. (2002). Molecular characterization of a two‐domain form of the neuronal voltage‐gated P/Q‐type calcium channel α12.1 subunit. FEBS Letters. 532(3). 300–308. 15 indexed citations
20.
Letts, Verity A., Ricardo Felix, Gloria Biddlecome, et al.. (1998). The mouse stargazer gene encodes a neuronal Ca2+-channel γ subunit. Nature Genetics. 19(4). 340–347. 450 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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