Karunakar Kar

2.5k total citations
53 papers, 2.0k citations indexed

About

Karunakar Kar is a scholar working on Molecular Biology, Physiology and Biomaterials. According to data from OpenAlex, Karunakar Kar has authored 53 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 24 papers in Physiology and 19 papers in Biomaterials. Recurrent topics in Karunakar Kar's work include Alzheimer's disease research and treatments (24 papers), Protein Structure and Dynamics (11 papers) and Supramolecular Self-Assembly in Materials (11 papers). Karunakar Kar is often cited by papers focused on Alzheimer's disease research and treatments (24 papers), Protein Structure and Dynamics (11 papers) and Supramolecular Self-Assembly in Materials (11 papers). Karunakar Kar collaborates with scholars based in India, United States and South Korea. Karunakar Kar's co-authors include Bibin G. Anand, Kriti Dubey, Ronald Wetzel, Barbara Brodsky, Dolat Singh Shekhawat, Kailash Prasad Prajapati, Ravindra Kodali, Balaraman Madhan, Patrick C.A. van der Wel and Murali Jayaraman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Karunakar Kar

51 papers receiving 2.0k citations

Peers

Karunakar Kar
Matthew Biancalana United States
Karunakar Kar
Citations per year, relative to Karunakar Kar Karunakar Kar (= 1×) peers Matthew Biancalana

Countries citing papers authored by Karunakar Kar

Since Specialization
Citations

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

Fields of papers citing papers by Karunakar Kar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karunakar Kar

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

All Works

20 of 20 papers shown
1.
Mishra, N. C., et al.. (2024). Molecular insights into the phase transition of lysozyme into amyloid nanostructures: Implications of therapeutic strategies in diverse pathological conditions. Advances in Colloid and Interface Science. 331. 103205–103205. 10 indexed citations
2.
Prajapati, Kailash Prasad, et al.. (2024). Cu(II) Specifically Disassembles Insulin Amyloid Nanostructures via Direct Interaction with Cross-β Fibrils. Nano Letters. 24(32). 9784–9792. 2 indexed citations
3.
Prajapati, Kailash Prasad, et al.. (2024). Rapid Coaggregation of Proteins Without Sequence Similarity: Possible Role of Conformational Complementarity. Biochemistry. 63(22). 2977–2989. 1 indexed citations
4.
Mishra, N.C., et al.. (2024). Tailoring the Molecular Structure of 6-Gingerol for Targeting the Phase Separation in Human Lysozyme. The Journal of Physical Chemistry Letters. 15(31). 8032–8041.
5.
Prajapati, Kailash Prasad, et al.. (2024). Structural Conversion of Serotonin into Amyloid-like Nanoassemblies Conceptualizes an Unexplored Neurotoxicity Risk. ACS Nano. 18(50). 34044–34062.
6.
Ansari, Mohammad Javed, et al.. (2023). Construction of chemoreactive heterogeneous nanofibers through strategic coassembly of different proteins. Materials Today Nano. 22. 100317–100317. 10 indexed citations
7.
Prajapati, Kailash Prasad, et al.. (2023). Autooxidation of curcumin in physiological buffer causes an enhanced synergistic anti-amyloid effect. International Journal of Biological Macromolecules. 235. 123629–123629. 10 indexed citations
8.
Brünnert, Daniela, Eva-Maria Hanschmann, Bibin G. Anand, et al.. (2021). The intrinsic amyloidogenic propensity of cofilin-1 is aggravated by Cys-80 oxidation: A possible link with neurodegenerative diseases. Biochemical and Biophysical Research Communications. 569. 187–192. 7 indexed citations
9.
Prajapati, Kailash Prasad, et al.. (2019). Myricetin inhibits amyloid fibril formation of globular proteins by stabilizing the native structures. Colloids and Surfaces B Biointerfaces. 186. 110640–110640. 36 indexed citations
10.
Jain, Buddhi Prakash, et al.. (2018). Biophysical Characterization of SG2NA Variants and their Interaction with DJ-1 and Calmodulin in vitro. Cell Biochemistry and Biophysics. 76(4). 451–461. 6 indexed citations
11.
Anand, Bibin G., Kailash Prasad Prajapati, & Karunakar Kar. (2018). Aβ 1-40 mediated aggregation of proteins and metabolites unveils the relevance of amyloid cross-seeding in amyloidogenesis. Biochemical and Biophysical Research Communications. 501(1). 158–164. 23 indexed citations
12.
Anand, Bibin G., Kriti Dubey, Dolat Singh Shekhawat, & Karunakar Kar. (2017). Intrinsic property of phenylalanine to trigger protein aggregation and hemolysis has a direct relevance to phenylketonuria. Scientific Reports. 7(1). 11146–11146. 61 indexed citations
13.
Hoop, Cody L., Karunakar Kar, Gábor Magyarfalvi, et al.. (2016). Huntingtin exon 1 fibrils feature an interdigitated β-hairpin–based polyglutamine core. Proceedings of the National Academy of Sciences. 113(6). 1546–1551. 130 indexed citations
14.
Kar, Karunakar, Cody L. Hoop, Ravindra Kodali, et al.. (2016). Backbone Engineering within a Latent β-Hairpin Structure to Design Inhibitors of Polyglutamine Amyloid Formation. Journal of Molecular Biology. 429(2). 308–323. 21 indexed citations
15.
Dubey, Kriti, Bibin G. Anand, Ganesh Bagler, et al.. (2015). Tyrosine- and tryptophan-coated gold nanoparticles inhibit amyloid aggregation of insulin. Amino Acids. 47(12). 2551–2560. 90 indexed citations
16.
Dubey, Kriti & Karunakar Kar. (2014). Type I collagen prevents amyloid aggregation of hen egg white lysozyme. Biochemical and Biophysical Research Communications. 448(4). 480–484. 19 indexed citations
17.
Kar, Karunakar, Cody L. Hoop, Kenneth W. Drombosky, et al.. (2013). β-Hairpin-Mediated Nucleation of Polyglutamine Amyloid Formation. Journal of Molecular Biology. 425(7). 1183–1197. 83 indexed citations
18.
Hoop, Cody L., Rakesh Kumar Mishra, Karunakar Kar, et al.. (2013). Structural and Motional Investigations of Polyglutamine-Containing Amyloid Fibrils by Magic-Angle-Spinning Solid-State NMR. Biophysical Journal. 104(2). 181a–181a. 1 indexed citations
19.
Kar, Karunakar, Murali Jayaraman, Bankanidhi Sahoo, Ravindra Kodali, & Ronald Wetzel. (2011). Critical nucleus size for disease-related polyglutamine aggregation is repeat-length dependent. Nature Structural & Molecular Biology. 18(3). 328–336. 176 indexed citations
20.
Kar, Karunakar, et al.. (2006). Self-association of Collagen Triple Helic Peptides into Higher Order Structures. Journal of Biological Chemistry. 281(44). 33283–33290. 122 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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