Kavitha Mukund

40 total papers · 1.0k total citations
16 papers, 684 citations indexed

About

Kavitha Mukund is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Kavitha Mukund has authored 16 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Kavitha Mukund's work include Genetic Neurodegenerative Diseases (4 papers), Muscle Physiology and Disorders (4 papers) and Bioinformatics and Genomic Networks (3 papers). Kavitha Mukund is often cited by papers focused on Genetic Neurodegenerative Diseases (4 papers), Muscle Physiology and Disorders (4 papers) and Bioinformatics and Genomic Networks (3 papers). Kavitha Mukund collaborates with scholars based in United States. Kavitha Mukund's co-authors include Shankar Subramaniam, Richard L. Lieber, Sonia Ramamoorthy, Roger W. Schvaneveldt, Trevor Cohen, Thomas C. Rindflesch, Mark Chapman, David A. Brenner, Samuel R. Ward and Margie A. Mathewson and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and American Journal of Physiology-Cell Physiology.

In The Last Decade

Kavitha Mukund

15 papers receiving 674 citations

Hit Papers

Skeletal muscle: A review... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kavitha Mukund 386 145 87 82 68 16 684
Yohei Shibuya 326 0.8× 194 1.3× 98 1.1× 143 1.7× 33 0.5× 12 735
Anne‐Sophie Arnold 342 0.9× 138 1.0× 49 0.6× 84 1.0× 54 0.8× 21 618
Akram Tayanloo-Beik 306 0.8× 113 0.8× 72 0.8× 84 1.0× 57 0.8× 35 621
Adam Horn 448 1.2× 114 0.8× 84 1.0× 63 0.8× 33 0.5× 21 639
Laura Forcina 469 1.2× 219 1.5× 67 0.8× 93 1.1× 54 0.8× 17 726
Bianca Vezzani 411 1.1× 81 0.6× 97 1.1× 105 1.3× 32 0.5× 22 741
Kristyn Gumpper 317 0.8× 77 0.5× 78 0.9× 62 0.8× 45 0.7× 29 672
Line Jensen 310 0.8× 210 1.4× 141 1.6× 50 0.6× 49 0.7× 17 580
Chiara Nicoletti 598 1.5× 143 1.0× 32 0.4× 82 1.0× 25 0.4× 17 747
Anne Heikkinen 247 0.6× 103 0.7× 56 0.6× 95 1.2× 23 0.3× 20 720

Countries citing papers authored by Kavitha Mukund

Since Specialization
Citations

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

Fields of papers citing papers by Kavitha Mukund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kavitha Mukund

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

All Works

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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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