Krsna V. Rangarajan

500 total citations
8 papers, 336 citations indexed

About

Krsna V. Rangarajan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Krsna V. Rangarajan has authored 8 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Krsna V. Rangarajan's work include Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Retinal Development and Disorders (2 papers). Krsna V. Rangarajan is often cited by papers focused on Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Retinal Development and Disorders (2 papers). Krsna V. Rangarajan collaborates with scholars based in United States, Bulgaria and Norway. Krsna V. Rangarajan's co-authors include Lupeng Wang, Jianhua Cang, Xiaorong Liu, Rashmi Sarnaik, Richard J. Krauzlis, Charles R. Gerfen, Courtney Lawhn-Heath, Bor‐Shuen Wang, Kathleen M. Caron and Lan Mao and has published in prestigious journals such as Neuron, Journal of Neuroscience and Circulation Research.

In The Last Decade

Krsna V. Rangarajan

8 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krsna V. Rangarajan United States 6 192 154 150 43 39 8 336
Nanhui Chen China 14 81 0.4× 89 0.6× 198 1.3× 12 0.3× 17 0.4× 39 410
Martin H. Dominguez United States 7 90 0.5× 153 1.0× 319 2.1× 10 0.2× 13 0.3× 10 530
Karina Bistrong United States 4 107 0.6× 126 0.8× 88 0.6× 12 0.3× 6 0.2× 6 300
Olivia J. Hon United States 8 158 0.8× 155 1.0× 115 0.8× 19 0.4× 17 0.4× 11 353
Xiangpan Kong China 11 77 0.4× 56 0.4× 103 0.7× 21 0.5× 43 1.1× 31 330
Dragoş Niculescu France 7 106 0.6× 216 1.4× 169 1.1× 13 0.3× 4 0.1× 10 426
Alexandre Loucif United Kingdom 7 49 0.3× 141 0.9× 185 1.2× 13 0.3× 10 0.3× 8 308
Aurélie Watilliaux France 5 116 0.6× 104 0.7× 44 0.3× 27 0.6× 22 0.6× 6 317
Eva Simbürger Germany 8 34 0.2× 193 1.3× 189 1.3× 20 0.5× 13 0.3× 9 441
Shusheng Gong China 9 77 0.4× 52 0.3× 141 0.9× 182 4.2× 12 0.3× 41 336

Countries citing papers authored by Krsna V. Rangarajan

Since Specialization
Citations

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

Fields of papers citing papers by Krsna V. Rangarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krsna V. Rangarajan. 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 Krsna V. Rangarajan. The network helps show where Krsna V. Rangarajan may publish in the future.

Co-authorship network of co-authors of Krsna V. Rangarajan

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

All Works

8 of 8 papers shown
1.
Rangarajan, Krsna V., et al.. (2021). The actin depolymerizing factor destrin serves as a negative feedback inhibitor of smooth muscle cell differentiation. American Journal of Physiology-Heart and Circulatory Physiology. 321(5). H893–H904. 5 indexed citations
2.
Pawlak, John B., Amir Aghajanian, Krsna V. Rangarajan, et al.. (2021). VE-Cadherin Is Required for Cardiac Lymphatic Maintenance and Signaling. Circulation Research. 130(1). 5–23. 34 indexed citations
3.
Krauzlis, Richard J., et al.. (2020). Visual Psychophysics in Head‐Fixed Mice. Current Protocols in Neuroscience. 92(1). e95–e95. 4 indexed citations
4.
Rangarajan, Krsna V., et al.. (2020). A murine model of increased coronary sinus pressure induces myocardial edema with cardiac lymphatic dilation and fibrosis. American Journal of Physiology-Heart and Circulatory Physiology. 318(4). H895–H907. 21 indexed citations
5.
Wang, Lupeng, Krsna V. Rangarajan, Charles R. Gerfen, & Richard J. Krauzlis. (2018). Activation of Striatal Neurons Causes a Perceptual Decision Bias during Visual Change Detection in Mice. Neuron. 97(6). 1369–1381.e5. 41 indexed citations
6.
Yoshida, Miho, Liang Feng, François Grimbert, et al.. (2011). Overexpression of Neurotrophin-3 Stimulates a Second Wave of Dopaminergic Amacrine Cell Genesis after Birth in the Mouse Retina. Journal of Neuroscience. 31(35). 12663–12673. 14 indexed citations
7.
Wang, Lupeng, Rashmi Sarnaik, Krsna V. Rangarajan, Xiaorong Liu, & Jianhua Cang. (2010). Visual Receptive Field Properties of Neurons in the Superficial Superior Colliculus of the Mouse. Journal of Neuroscience. 30(49). 16573–16584. 172 indexed citations
8.
Wang, Lupeng, Krsna V. Rangarajan, Courtney Lawhn-Heath, et al.. (2009). Direction-Specific Disruption of Subcortical Visual Behavior and Receptive Fields in Mice Lacking the β2 Subunit of Nicotinic Acetylcholine Receptor. Journal of Neuroscience. 29(41). 12909–12918. 45 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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