Vardhan S. Dani

2.1k total citations
12 papers, 1.6k citations indexed

About

Vardhan S. Dani is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Vardhan S. Dani has authored 12 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Cognitive Neuroscience. Recurrent topics in Vardhan S. Dani's work include Genetics and Neurodevelopmental Disorders (4 papers), Autism Spectrum Disorder Research (4 papers) and Protein Structure and Dynamics (3 papers). Vardhan S. Dani is often cited by papers focused on Genetics and Neurodevelopmental Disorders (4 papers), Autism Spectrum Disorder Research (4 papers) and Protein Structure and Dynamics (3 papers). Vardhan S. Dani collaborates with scholars based in United States, India and Russia. Vardhan S. Dani's co-authors include Sacha B. Nelson, Rudolf Jaenisch, Qiang Chang, Arianna Maffei, Gina G. Turrigiano, C. Ramakrishnan, Liqun Luo, Raghavan Varadarajan, Weizhe Hong and Timothy J. Mosca and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Vardhan S. Dani

12 papers receiving 1.6k citations

Peers

Vardhan S. Dani
Cleber A. Trujillo United States
Cindy Skinner United States
Harrison W. Gabel United States
Richard J. Schroer United States
Jon M. Madison United States
Helen Hong Su United States
Kevin Miyashiro United States
Kristin Baer United Kingdom
Marisa M. Menold United States
Cleber A. Trujillo United States
Vardhan S. Dani
Citations per year, relative to Vardhan S. Dani Vardhan S. Dani (= 1×) peers Cleber A. Trujillo

Countries citing papers authored by Vardhan S. Dani

Since Specialization
Citations

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

Fields of papers citing papers by Vardhan S. Dani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vardhan S. Dani. 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 Vardhan S. Dani. The network helps show where Vardhan S. Dani may publish in the future.

Co-authorship network of co-authors of Vardhan S. Dani

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

All Works

12 of 12 papers shown
1.
Brusel, Marina, et al.. (2023). Heat-induced seizures, premature mortality, and hyperactivity in a novel Scn1a nonsense model for Dravet syndrome. Frontiers in Cellular Neuroscience. 17. 1149391–1149391. 5 indexed citations
2.
Cassady, John P., Ana C. D’Alessio, Sovan Sarkar, et al.. (2014). Direct Lineage Conversion of Adult Mouse Liver Cells and B Lymphocytes to Neural Stem Cells. Stem Cell Reports. 3(6). 948–956. 48 indexed citations
3.
Sugino, Kyoka, Chris M. Hempel, Benjamin W. Okaty, et al.. (2014). Cell-Type-Specific Repression by Methyl-CpG-Binding Protein 2 Is Biased toward Long Genes. Journal of Neuroscience. 34(38). 12877–12883. 98 indexed citations
4.
Mosca, Timothy J., Weizhe Hong, Vardhan S. Dani, Vincenzo Favaloro, & Liqun Luo. (2012). Trans-synaptic Teneurin signalling in neuromuscular synapse organization and target choice. Nature. 484(7393). 237–241. 163 indexed citations
5.
Tasic, Bosiljka, Kazunari Miyamichi, Simon Hippenmeyer, et al.. (2012). Extensions of MADM (Mosaic Analysis with Double Markers) in Mice. PLoS ONE. 7(3). e33332–e33332. 49 indexed citations
6.
Tasic, Bosiljka, Kazunari Miyamichi, Simon Hippenmeyer, et al.. (2012). Correction: Extensions of MADM (Mosaic Analysis with Double Markers) in Mice. PLoS ONE. 7(7). 7 indexed citations
7.
Dani, Vardhan S. & Sacha B. Nelson. (2009). Intact Long-Term Potentiation but Reduced Connectivity between Neocortical Layer 5 Pyramidal Neurons in a Mouse Model of Rett Syndrome. Journal of Neuroscience. 29(36). 11263–11270. 103 indexed citations
8.
Chang, Qiang, et al.. (2006). The Disease Progression of Mecp2 Mutant Mice Is Affected by the Level of BDNF Expression. Neuron. 49(3). 341–348. 463 indexed citations
9.
Dani, Vardhan S., Qiang Chang, Arianna Maffei, et al.. (2005). Reduced cortical activity due to a shift in the balance between excitation and inhibition in a mouse model of Rett Syndrome. Proceedings of the National Academy of Sciences. 102(35). 12560–12565. 492 indexed citations
10.
Dani, Vardhan S., C. Ramakrishnan, & Raghavan Varadarajan. (2003). MODIP revisited: re-evaluation and refinement of an automated procedure for modeling of disulfide bonds in proteins. Protein Engineering Design and Selection. 16(3). 187–193. 102 indexed citations
11.
Ramakrishnan, C., Vardhan S. Dani, & T. Ramasarma. (2002). A conformational analysis of Walker motif A [GXXXXGKT (S)] in nucleotide-binding and other proteins. Protein Engineering Design and Selection. 15(10). 783–798. 75 indexed citations
12.
Jain, Rinku, Vardhan S. Dani, Sarika Srivastava, et al.. (2002). Structural consequences of replacement of an α-helical Pro residue in Escherichia coli thioredoxin. Protein Engineering Design and Selection. 15(8). 627–633. 13 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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