Kavya Swaminathan

1.1k total citations · 1 hit paper
13 papers, 619 citations indexed

About

Kavya Swaminathan is a scholar working on Molecular Biology, Epidemiology and Spectroscopy. According to data from OpenAlex, Kavya Swaminathan has authored 13 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Spectroscopy. Recurrent topics in Kavya Swaminathan's work include Influenza Virus Research Studies (5 papers), Mass Spectrometry Techniques and Applications (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Kavya Swaminathan is often cited by papers focused on Influenza Virus Research Studies (5 papers), Mass Spectrometry Techniques and Applications (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Kavya Swaminathan collaborates with scholars based in United States, Australia and Spain. Kavya Swaminathan's co-authors include Kevin M. Downard, Joshua E. Elias, Gabriele Fuchs, Andreas S. Puschnik, Miguel Mata, Susan Brewer, Karim Majzoub, Peter Sarnow, Yaw Shin Ooi and Jan E. Carette and has published in prestigious journals such as Nature, Nature Communications and Nature Biotechnology.

In The Last Decade

Kavya Swaminathan

13 papers receiving 602 citations

Hit Papers

Genetic dissection of Flaviviridae host factors through g... 2016 2026 2019 2022 2016 100 200 300
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.

  1. Genetic dissection of Flaviviridae host factors through genome-scale CRISPR screens
    2016 320 citations Caleb Marceau, Andreas S. Puschnik et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kavya Swaminathan United States 9 321 162 140 136 99 13 619
Chen‐Wen Yao Taiwan 17 268 0.8× 365 2.3× 336 2.4× 99 0.7× 22 0.2× 23 870
C. S. Brian Chia Singapore 17 405 1.3× 248 1.5× 209 1.5× 82 0.6× 14 0.1× 41 931
Suthathip Kittisenachai Thailand 12 164 0.5× 168 1.0× 133 0.9× 48 0.4× 18 0.2× 32 518
Valerie A. Villareal United States 14 498 1.6× 178 1.1× 225 1.6× 58 0.4× 35 0.4× 21 846
Ming Wei Chen Singapore 12 292 0.9× 191 1.2× 151 1.1× 71 0.5× 10 0.1× 20 550
Sarah C. Atkinson Australia 15 423 1.3× 124 0.8× 238 1.7× 56 0.4× 10 0.1× 26 790
Xiuli Ma China 16 213 0.7× 77 0.5× 196 1.4× 449 3.3× 29 0.3× 42 863
Changsuek Yon United States 13 142 0.4× 226 1.4× 159 1.1× 119 0.9× 8 0.1× 23 539
Patricia A. Pilling Australia 10 284 0.9× 76 0.5× 119 0.8× 304 2.2× 13 0.1× 11 698
Kathrin Nowak Germany 16 352 1.1× 85 0.5× 84 0.6× 229 1.7× 23 0.2× 26 860

Countries citing papers authored by Kavya Swaminathan

Since Specialization
Citations

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

Fields of papers citing papers by Kavya Swaminathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kavya Swaminathan

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

All Works

13 of 13 papers shown
1.
Doan, Stacey N., S. M. MacDonald, & Kavya Swaminathan. (2023). The socialization of positive emotions: Implications for physical health and psychological adjustment. Mental Health & Prevention. 30. 200272–200272. 5 indexed citations
2.
Pérez-Cruz, Magdiel, Bettina P. Iliopoulou, Hsin‐Hsu Wu, et al.. (2022). Immunoregulatory effects of RGMb in gut inflammation. Frontiers in Immunology. 13. 960329–960329. 8 indexed citations
3.
Palanski, Brad A., Lichao Zhang, Andrew J. Hilmer, et al.. (2022). An efficient urine peptidomics workflow identifies chemically defined dietary gluten peptides from patients with celiac disease. Nature Communications. 13(1). 888–888. 29 indexed citations
4.
Wilcox, Bruce A., John H. Blume, Kavya Swaminathan, et al.. (2022). Abstract 3924: Deep, unbiased multi-omics approach for identification of pancreatic cancer biomarkers from blood. Cancer Research. 82(12_Supplement). 3924–3924. 1 indexed citations
5.
Ziv, Inbal, et al.. (2021). Protein aggregation and the evolution of stress resistance in clinical yeast. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1826). 20200127–20200127. 7 indexed citations
6.
Zhang, Lichao, Kavya Swaminathan, Carlos G. Gonzalez, et al.. (2019). TagGraph reveals vast protein modification landscapes from large tandem mass spectrometry datasets. Nature Biotechnology. 37(4). 469–479. 99 indexed citations
7.
Marceau, Caleb, Andreas S. Puschnik, Karim Majzoub, et al.. (2016). Genetic dissection of Flaviviridae host factors through genome-scale CRISPR screens. Nature. 535(7610). 159–163. 320 indexed citations breakdown →
8.
Swaminathan, Kavya, et al.. (2014). Substituent effects on the binding of natural product anthocyanidin inhibitors to influenza neuraminidase with mass spectrometry. Analytica Chimica Acta. 828. 61–69. 17 indexed citations
9.
Swaminathan, Kavya, Jeffrey C. Dyason, Andrea Maggioni, Mark von Itzstein, & Kevin M. Downard. (2013). Binding of a natural anthocyanin inhibitor to influenza neuraminidase by mass spectrometry. Analytical and Bioanalytical Chemistry. 405(20). 6563–6572. 46 indexed citations
10.
Lun, Aaron T. L., Kavya Swaminathan, Jason W.H. Wong, & Kevin M. Downard. (2013). Mass Trees: A New Phylogenetic Approach and Algorithm to Chart Evolutionary History with Mass Spectrometry. Analytical Chemistry. 85(11). 5475–5482. 21 indexed citations
11.
Swaminathan, Kavya, et al.. (2013). Inhibition of influenza hemagglutinin with the antiviral inhibitor arbidol using a proteomics based approach and mass spectrometry. Antiviral Research. 100(2). 399–406. 33 indexed citations
12.
Swaminathan, Kavya & Kevin M. Downard. (2013). Evolution of Influenza Neuraminidase and the Detection of Antiviral Resistant Strains Using Mass Trees. Analytical Chemistry. 86(1). 629–637. 17 indexed citations
13.
Swaminathan, Kavya & Kevin M. Downard. (2012). Anti-Viral Inhibitor Binding to Influenza Neuraminidase by MALDI Mass Spectrometry. Analytical Chemistry. 84(8). 3725–3730. 16 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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