Kavitha Mukund

1.1k total citations · 1 hit paper
16 papers, 692 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 692 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 Muscle Physiology and Disorders (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Bioinformatics and Genomic Networks (3 papers). Kavitha Mukund is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Genetic Neurodegenerative Diseases (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, Trevor Cohen, Roger W. Schvaneveldt, Thomas C. Rindflesch, Mark Chapman, David A. Brenner, Margie A. Mathewson and Samuel R. Ward 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 682 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Skeletal muscle: A review of molecular structure and function, in health and disease

2019 402 citations Kavitha Mukund, Shankar Subramaniam WIREs Systems Biology and Medicine profile →

Peers

Kavitha Mukund

MB

PHYSI

CB

SURGE

BE

Akram Tayanloo-Beik Iran

Yohei Shibuya United States

David Briand France

Xuan Gong China

Johannes Lehmann Germany

Bernhard Baumgartner Austria

Alfredo Lucas United States

Haoli Wang China

Joseph A. Roche United States

Akram Tayanloo-Beik Iran

Kavitha Mukund

309 ×0.8

MB

117 ×0.8

PHYSI

72 ×0.8

CB

85 ×1.0

SURGE

59 ×0.9

BE

Citations per year, relative to Kavitha Mukund Kavitha Mukund (= 1×) peers Akram Tayanloo-Beik

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

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Rostami, Zahra, et al.. (2025). An autoencoder learning method for predicting breast cancer subtypes. PLoS ONE. 20(7). e0327773–e0327773.

2.

Mukund, Kavitha, Jackelyn A. Alva-Ornelas, Adam L. Maddox, et al.. (2024). Molecular Atlas of HER2+ Breast Cancer Cells Treated with Endogenous Ligands: Temporal Insights into Mechanisms of Trastuzumab Resistance. Cancers. 16(3). 553–553. 1 indexed citations

3.

Mukund, Kavitha, Jovanny Zabaleta, Denise Danos, et al.. (2024). Abstract C147: Impact of genetic ancestry in triple-negative breast cancer subtypes. Cancer Epidemiology Biomarkers & Prevention. 33(9_Supplement). C147–C147. 1 indexed citations

4.

Mukund, Kavitha, et al.. (2023). The Janus face of proliferating plasmablasts in dengue and COVID-19 infections. Frontiers in Immunology. 14. 1068424–1068424. 2 indexed citations

5.

Maurya, Mano R., et al.. (2022). Modular and mechanistic changes across stages of colorectal cancer. BMC Cancer. 22(1). 436–436. 6 indexed citations

6.

Mukund, Kavitha, et al.. (2021). Immune Response in Severe and Non-Severe Coronavirus Disease 2019 (COVID-19) Infection: A Mechanistic Landscape. Frontiers in Immunology. 12. 738073–738073. 24 indexed citations

7.

Mukund, Kavitha, et al.. (2020). Right and left-sided colon cancers - specificity of molecular mechanisms in tumorigenesis and progression. BMC Cancer. 20(1). 317–317. 66 indexed citations

8.

Mukund, Kavitha, Kalai Mathee, & Shankar Subramaniam. (2020). Plasmin Cascade Mediates Thrombotic Events in SARS-CoV-2 Infection via Complement and Platelet-Activating Systems. IEEE Open Journal of Engineering in Medicine and Biology. 1. 220–227. 10 indexed citations

9.

Mukund, Kavitha & Shankar Subramaniam. (2019). Skeletal muscle: A review of molecular structure and function, in health and disease. WIREs Systems Biology and Medicine. 12(1). e1462–e1462. 402 indexed citations breakdown →

10.

Mukund, Kavitha, Samuel R. Ward, Richard L. Lieber, & Shankar Subramaniam. (2017). Co-Expression Network Approach to Studying the Effects of Botulinum Neurotoxin-A. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(6). 2009–2016. 3 indexed citations

11.

Mukund, Kavitha & Shankar Subramaniam. (2017). Co-expression Network Approach Reveals Functional Similarities among Diseases Affecting Human Skeletal Muscle. Frontiers in Physiology. 8. 980–980. 8 indexed citations

12.

Chapman, Mark, Kavitha Mukund, Shankar Subramaniam, David A. Brenner, & Richard L. Lieber. (2016). Three distinct cell populations express extracellular matrix proteins and increase in number during skeletal muscle fibrosis. American Journal of Physiology-Cell Physiology. 312(2). C131–C143. 54 indexed citations

13.

Mukund, Kavitha & Shankar Subramaniam. (2015). Dysregulated mechanisms underlying Duchenne muscular dystrophy from co-expression network preservation analysis. BMC Research Notes. 8(1). 182–182. 13 indexed citations

14.

Mukund, Kavitha, et al.. (2014). Systems analysis of transcriptional data provides insights into muscle's biological response to botulinum toxin. Muscle & Nerve. 50(5). 744–758. 33 indexed citations

15.

Cohen, Trevor, et al.. (2010). EpiphaNet: An Interactive Tool to Support Biomedical Discoveries.. PubMed. 5. 21–49. 37 indexed citations

16.

Cohen, Trevor, et al.. (2010). EpiphaNet: An Interactive Tool to Support Biomedical Discoveries. 5. 21–49. 32 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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