Karthik Viswanathan

3.6k total citations
45 papers, 1.6k citations indexed

About

Karthik Viswanathan is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Karthik Viswanathan has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 21 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Karthik Viswanathan's work include Influenza Virus Research Studies (25 papers), Respiratory viral infections research (18 papers) and Glycosylation and Glycoproteins Research (11 papers). Karthik Viswanathan is often cited by papers focused on Influenza Virus Research Studies (25 papers), Respiratory viral infections research (18 papers) and Glycosylation and Glycoproteins Research (11 papers). Karthik Viswanathan collaborates with scholars based in United States, Singapore and India. Karthik Viswanathan's co-authors include Ram Sasisekharan, Rahul Raman, Aarthi Chandrasekaran, Terrence M. Tumpey, V. Sasisekharan, Zachary Shriver, Aravind Srinivasan, Akila Jayaraman, S. Raguram and Kannan Tharakaraman and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Karthik Viswanathan

43 papers receiving 1.6k citations

Peers

Karthik Viswanathan

EPIDE

IMMUN

ACS

Eri Nobusawa Japan

Rodney S. Daniels United Kingdom

Kanetsu Sugawara Japan

Doris J. Bucher United States

Marie‐Anne Rameix‐Welti France

Tatyana Matrosovich Germany

Larisa V. Mochalova Russia

Wenli Yu United States

Brad Gilbertson Australia

K. Nakajima Japan

Eri Nobusawa Japan

Karthik Viswanathan

1.4k ×1.3

EPIDE

711 ×1.2

421 ×1.2

IMMUN

340 ×0.9

293 ×0.9

ACS

Citations per year, relative to Karthik Viswanathan Karthik Viswanathan (= 1×) peers Eri Nobusawa

Countries citing papers authored by Karthik Viswanathan

Since Specialization

Citations

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

Fields of papers citing papers by Karthik Viswanathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karthik Viswanathan

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

All Works

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20 of 20 papers shown

Familiar, Ariana, Neda Khalili, Nastaran Khalili, et al.. (2024). Empowering Data Sharing in Neuroscience: A Deep Learning Deidentification Method for Pediatric Brain MRIs. American Journal of Neuroradiology. 46(5). 964–972. 1 indexed citations

Viswanathan, Karthik, et al.. (2024). Synthesis, Characterization, Docking Studies, and In-vitro Cytotoxic Activity of Some Novel 2, 3 Disubstituted Naphthalene 1,4 Dione Derivatives. Current Bioactive Compounds. 21(2).

Johnson, Kenneth D., James C. Delaney, Thomas Guillard, et al.. (2023). Development of an antibody fused with an antimicrobial peptide targeting Pseudomonas aeruginosa: A new approach to prevent and treat bacterial infections. PLoS Pathogens. 19(9). e1011612–e1011612. 17 indexed citations

Ramakrishnan, Boopathy, Kristin Narayan, Andrew M. Wollacott, et al.. (2018). Extending human IgG half-life using structure-guided design. mAbs. 10(7). 1–13. 76 indexed citations

Touti, Fayçal, Guillaume Lautrette, Kenneth D. Johnson, et al.. (2018). Antibody–Bactericidal Macrocyclic Peptide Conjugates To Target Gram‐Negative Bacteria. ChemBioChem. 19(19). 2039–2044. 27 indexed citations

Hussein, Islam T. M., Florian Krammer, Eric Ma, et al.. (2016). New England harbor seal H3N8 influenza virus retains avian-like receptor specificity. Scientific Reports. 6(1). 21428–21428. 12 indexed citations

Hendricks, Gabriel L., Natasha Qaisar, James C. Delaney, et al.. (2015). Heparin octasaccharide decoy liposomes inhibit replication of multiple viruses. Antiviral Research. 116. 34–44. 29 indexed citations

Zhu, Xueyong, Karthik Viswanathan, Rahul Raman, et al.. (2015). Structural Basis for a Switch in Receptor Binding Specificity of Two H5N1 Hemagglutinin Mutants. Cell Reports. 13(8). 1683–1691. 25 indexed citations

Thomas, Ancy, N.S. Sudheer, Karthik Viswanathan, et al.. (2014). Immunogenicity and protective efficacy of a major White Spot Syndrome Virus (WSSV) envelope protein VP24 expressed in Escherichia coli against WSSV. Journal of Invertebrate Pathology. 123. 17–24. 16 indexed citations

10.

Tharakaraman, Kannan, Akila Jayaraman, Rahul Raman, et al.. (2013). Glycan Receptor Binding of the Influenza A Virus H7N9 Hemagglutinin. Cell. 153(7). 1486–1493. 107 indexed citations

11.

Raman, Rahul, et al.. (2013). Quantitative Description of Glycan-Receptor Binding of Influenza A Virus H7 Hemagglutinin. PLoS ONE. 8(2). e49597–e49597. 46 indexed citations

12.

Tharakaraman, Kannan, et al.. (2013). Antigenically intact hemagglutinin in circulating avian and swine influenza viruses and potential for H3N2 pandemic. Scientific Reports. 3(1). 1822–1822. 20 indexed citations

13.

Raman, Rahul, et al.. (2013). Quantitative Characterization of Glycan-Receptor Binding of H9N2 Influenza A Virus Hemagglutinin. PLoS ONE. 8(4). e59550–e59550. 16 indexed citations

14.

Aich, Udayanath, Zachary Shriver, Rahul Raman, et al.. (2011). Glycomics‐based analysis of chicken red blood cells provides insight into the selectivity of the viral agglutination assay. FEBS Journal. 278(10). 1699–1712. 1 indexed citations

15.

Viswanathan, Karthik, Aarthi Chandrasekaran, Aravind Srinivasan, et al.. (2010). Glycans as receptors for influenza pathogenesis. Glycoconjugate Journal. 27(6). 561–570. 3 indexed citations

16.

Hensley, Scott E., S. R. Das, Ashley Bailey, et al.. (2009). Hemagglutinin Receptor Binding Avidity Drives Influenza A Virus Antigenic Drift. Science. 326(5953). 734–736. 7 indexed citations

17.

Shriver, Zachary, Rahul Raman, Karthik Viswanathan, & Ram Sasisekharan. (2009). Context-Specific Target Definition in Influenza A Virus Hemagglutinin-Glycan Receptor Interactions. Chemistry & Biology. 16(8). 803–814. 22 indexed citations

18.

Chandrasekaran, Aarthi, Aravind Srinivasan, Rahul Raman, et al.. (2008). Glycan topology determines human adaptation of avian H5N1 virus hemagglutinin. Nature Biotechnology. 26(1). 107–113. 338 indexed citations

19.

Viswanathan, Karthik, Noboru Tomiya, Jung Park, et al.. (2006). Expression of a Functional Drosophila melanogaster CMP-sialic Acid Synthetase. Journal of Biological Chemistry. 281(23). 15929–15940. 30 indexed citations

20.

Viswanathan, Karthik, et al.. (2005). Polyprenyl lipid synthesis in mammalian cells expressing human cis-prenyl transferase. Biochemical and Biophysical Research Communications. 331(2). 379–383. 6 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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