Sarada Viswanathan

5.1k total citations · 1 hit paper
9 papers, 1.8k citations indexed

About

Sarada Viswanathan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Sarada Viswanathan has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Sarada Viswanathan's work include Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and CRISPR and Genetic Engineering (2 papers). Sarada Viswanathan is often cited by papers focused on Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and CRISPR and Genetic Engineering (2 papers). Sarada Viswanathan collaborates with scholars based in United States, Israel and United Kingdom. Sarada Viswanathan's co-authors include Loren L. Looger, Charles R. Gerfen, Jackie Schiller, Adam W. Hantman, Е. П. Кулешова, David S. Ojala, Joshua T. Dudman, Thomas Gaj, D. Gowanlock R. Tervo and David V. Schaffer and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Sarada Viswanathan

9 papers receiving 1.8k citations

Hit Papers

A Designer AAV Variant Permits Efficient Retrograde Acces... 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarada Viswanathan United States 9 829 795 639 211 198 9 1.8k
Hannah L. Bernstein United States 8 936 1.1× 1.2k 1.5× 658 1.0× 716 3.4× 94 0.5× 9 2.7k
Kannan Umadevi Venkataraju United States 9 556 0.7× 680 0.9× 609 1.0× 570 2.7× 75 0.4× 14 1.8k
Wenzhi Sun China 24 1.0k 1.2× 1.1k 1.4× 627 1.0× 474 2.2× 78 0.4× 49 2.5k
Chihiro Yokoyama Japan 20 556 0.7× 511 0.6× 340 0.5× 456 2.2× 73 0.4× 54 2.0k
Boaz Mohar United States 13 642 0.8× 1.2k 1.5× 638 1.0× 509 2.4× 60 0.3× 15 2.1k
Sara M. Lindsay United States 21 878 1.1× 910 1.1× 760 1.2× 161 0.8× 239 1.2× 34 2.5k
Jennifer B. Treweek United States 13 621 0.7× 494 0.6× 263 0.4× 535 2.5× 79 0.4× 19 1.6k
Jenelle L. Wallace United States 12 582 0.7× 934 1.2× 852 1.3× 687 3.3× 57 0.3× 17 2.4k
Alexander A. Chubykin United States 19 923 1.1× 1.1k 1.3× 645 1.0× 97 0.5× 437 2.2× 34 2.0k
Brian E. Chen Canada 10 675 0.8× 1.2k 1.5× 617 1.0× 202 1.0× 199 1.0× 20 2.0k

Countries citing papers authored by Sarada Viswanathan

Since Specialization
Citations

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

Fields of papers citing papers by Sarada Viswanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarada Viswanathan

This figure shows the co-authorship network connecting the top 25 collaborators of Sarada Viswanathan. A scholar is included among the top collaborators of Sarada Viswanathan 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 Sarada Viswanathan. Sarada Viswanathan 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.
Economo, Michael N., Sarada Viswanathan, Bosiljka Tasic, et al.. (2018). Distinct descending motor cortex pathways and their roles in movement. Nature. 563(7729). 79–84. 217 indexed citations
2.
Hoerder‐Suabedissen, Anna, S. Hayashi, Zachary T. Nolan, et al.. (2018). Subset of Cortical Layer 6b Neurons Selectively Innervates Higher Order Thalamic Nuclei in Mice. Cerebral Cortex. 28(5). 1882–1897. 93 indexed citations
3.
Morisaki, Tatsuya, Kenneth Lyon, Keith F. DeLuca, et al.. (2016). Real-time quantification of single RNA translation dynamics in living cells. Science. 352(6292). 1425–1429. 257 indexed citations
4.
Tervo, D. Gowanlock R., Sarada Viswanathan, Thomas Gaj, et al.. (2016). A Designer AAV Variant Permits Efficient Retrograde Access to Projection Neurons. Neuron. 92(2). 372–382. 830 indexed citations breakdown →
5.
Viswanathan, Sarada, et al.. (2016). Molecularly Defined Subplate Neurons Project Both to Thalamocortical Recipient Layers and Thalamus. Cerebral Cortex. 27(10). 4759–4768. 51 indexed citations
6.
Viswanathan, Sarada, Megan E. Williams, Erik B. Bloss, et al.. (2015). High-performance probes for light and electron microscopy. Nature Methods. 12(6). 568–576. 178 indexed citations
7.
Sun, Mei, Gleb Shtengel, Sarada Viswanathan, et al.. (2015). Fixation-resistant photoactivatable fluorescent proteins for CLEM. Nature Methods. 12(3). 215–218. 135 indexed citations
8.
Viswanathan, Sarada, Sharba Bandyopadhyay, Joseph P. Y. Kao, & Patrick O. Kanold. (2012). Changing Microcircuits in the Subplate of the Developing Cortex. Journal of Neuroscience. 32(5). 1589–1601. 57 indexed citations
9.
Donatis, Gian Marco De, Satyendra Kumar Singh, Sarada Viswanathan, & Michael R. Maurizi. (2010). A Single ClpS Monomer Is Sufficient to Direct the Activity of the ClpA Hexamer. Journal of Biological Chemistry. 285(12). 8771–8781. 19 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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