Kalai Mathee

8.0k total citations · 1 hit paper
104 papers, 5.8k citations indexed

About

Kalai Mathee is a scholar working on Molecular Biology, Molecular Medicine and Genetics. According to data from OpenAlex, Kalai Mathee has authored 104 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 26 papers in Molecular Medicine and 26 papers in Genetics. Recurrent topics in Kalai Mathee's work include Bacterial biofilms and quorum sensing (39 papers), Antibiotic Resistance in Bacteria (26 papers) and Bacterial Genetics and Biotechnology (23 papers). Kalai Mathee is often cited by papers focused on Bacterial biofilms and quorum sensing (39 papers), Antibiotic Resistance in Bacteria (26 papers) and Bacterial Genetics and Biotechnology (23 papers). Kalai Mathee collaborates with scholars based in United States, Denmark and India. Kalai Mathee's co-authors include Kok‐Fai Kong, Lisa Schneper, Giri Narasimhan, Deepak Balasubramanian, Hansi Kumari, Kelly T. Hughes, Niels Høiby, Dennis E. Ohman, Trevor Cickovski and Daniel Ruiz-Perez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Kalai Mathee

103 papers receiving 5.7k citations

Hit Papers

So you think you can PLS-DA? 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kalai Mathee United States 37 3.8k 1.6k 1.0k 790 718 104 5.8k
Jens Bo Andersen Denmark 35 4.4k 1.1× 886 0.6× 1.1k 1.1× 889 1.1× 908 1.3× 75 6.4k
Susanne Häußler Germany 50 4.9k 1.3× 2.3k 1.5× 1.8k 1.8× 1.1k 1.4× 914 1.3× 194 7.8k
Arne Heydorn Denmark 22 5.1k 1.3× 896 0.6× 954 0.9× 1.2k 1.5× 783 1.1× 33 6.8k
Michael A. Kohanski United States 26 3.9k 1.0× 2.1k 1.3× 1.6k 1.6× 498 0.6× 673 0.9× 107 8.6k
Gee W. Lau United States 36 2.7k 0.7× 975 0.6× 649 0.6× 575 0.7× 413 0.6× 87 4.6k
Martín Schuster United States 36 4.7k 1.2× 1.2k 0.8× 2.5k 2.4× 1.0k 1.3× 777 1.1× 103 6.5k
James P. Pearson United States 13 6.2k 1.6× 1.7k 1.1× 2.3k 2.2× 1.5k 1.9× 810 1.1× 18 7.4k
Urs A. Ochsner United States 46 5.6k 1.5× 1.4k 0.9× 2.6k 2.6× 1.1k 1.4× 1.0k 1.4× 78 8.5k
Daniel J. Dwyer United States 17 4.3k 1.1× 2.2k 1.4× 1.6k 1.5× 549 0.7× 677 0.9× 23 7.9k
Kim Lewis United States 31 5.4k 1.4× 1.7k 1.1× 1.6k 1.5× 908 1.1× 1.2k 1.7× 46 9.3k

Countries citing papers authored by Kalai Mathee

Since Specialization
Citations

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

Fields of papers citing papers by Kalai Mathee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kalai Mathee

This figure shows the co-authorship network connecting the top 25 collaborators of Kalai Mathee. A scholar is included among the top collaborators of Kalai Mathee 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 Kalai Mathee. Kalai Mathee 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.
Ruiz-Perez, Daniel, et al.. (2024). Unfolding and de-confounding: biologically meaningful causal inference from longitudinal multi-omic networks using METALICA. mSystems. 9(10). e0130323–e0130323. 1 indexed citations
2.
3.
Stebliankin, Vitalii, Prabin Baral, Trevor Cickovski, et al.. (2023). Epitopedia: identifying molecular mimicry between pathogens and known immune epitopes. SHILAP Revista de lepidopterología. 9. 100023–100023. 4 indexed citations
4.
Clarke, Rachel, M. Alejandro Barbieri, Leonardo Acuña, et al.. (2023). Detection of SARS-CoV-2 in high-efficiency particulate air (HEPA) filters of low-cost air purifiers in community-based organizations. Environmental Monitoring and Assessment. 195(11). 1320–1320. 3 indexed citations
5.
Mathee, Kalai, et al.. (2022). Plant-associated Pseudomonas aeruginosa strains harbour multiple virulence traits critical for human infection. Journal of Medical Microbiology. 71(8). 8 indexed citations
6.
Bourguignon, Natalia, et al.. (2022). New dynamic microreactor system to mimic biofilm formation and test anti-biofilm activity of nanoparticles. Applied Microbiology and Biotechnology. 106(7). 2729–2738. 5 indexed citations
7.
Mathee, Kalai, et al.. (2021). Rhizospheric and endophytic Pseudomonas aeruginosa in edible vegetable plants share molecular and metabolic traits with clinical isolates. Journal of Applied Microbiology. 132(4). 3226–3248. 17 indexed citations
8.
Ruiz-Perez, Daniel, Jose Lugo-Martinez, Natalia Bourguignon, et al.. (2021). Dynamic Bayesian Networks for Integrating Multi-omics Time Series Microbiome Data. mSystems. 6(2). 37 indexed citations
9.
Ruiz-Perez, Daniel, Makella Coudray, Karl Krupp, et al.. (2021). Effect of metronidazole on vaginal microbiota associated with asymptomatic bacterial vaginosis. Access Microbiology. 3(5). 226–226. 6 indexed citations
10.
Mathee, Kalai, et al.. (2020). Inferring directional relationships in microbial communities using signed Bayesian networks. BMC Genomics. 21(S6). 663–663. 16 indexed citations
11.
Balasubramanian, Deepak, Hansi Kumari, Keith H. Turner, et al.. (2013). Deep sequencing analyses expands the Pseudomonas aeruginosa AmpR regulon to include small RNA-mediated regulation of iron acquisition, heat shock and oxidative stress response. Nucleic Acids Research. 42(2). 979–998. 52 indexed citations
12.
Sobczak, Adam, Senthil K. Murugapiran, Lisa Schneper, et al.. (2011). Substituted lactam and cyclic azahemiacetals modulate Pseudomonas aeruginosa quorum sensing. Bioorganic & Medicinal Chemistry. 19(18). 5500–5506. 16 indexed citations
14.
Doud, Melissa, Erliang Zeng, Lisa Schneper, Giri Narasimhan, & Kalai Mathee. (2009). Approaches to analyse dynamic microbial communities such as those seen in cystic fibrosis lung. Human Genomics. 3(3). 246–246. 11 indexed citations
15.
Mathee, Kalai, Giri Narasimhan, Camilo Valdes, et al.. (2008). Dynamics of Pseudomonas aeruginosa genome evolution. Proceedings of the National Academy of Sciences. 105(8). 3100–3105. 375 indexed citations
16.
Downum, Kelsey R., et al.. (2006). Anti-quorum sensing activity of medicinal plants in southern Florida. Journal of Ethnopharmacology. 105(3). 427–435. 230 indexed citations
18.
Yang, Chengyong, DeEtta Mills, Kalai Mathee, et al.. (2005). An ecoinformatics tool for microbial community studies: Supervised classification of Amplicon Length Heterogeneity (ALH) profiles of 16S rRNA. Journal of Microbiological Methods. 65(1). 49–62. 19 indexed citations
19.
Kong, Kok‐Fai, Suriya Jayawardena, Lutz Wiehlmann, et al.. (2005). Characterization of poxB, a chromosomal-encoded Pseudomonas aeruginosa oxacillinase. Gene. 358. 82–92. 38 indexed citations
20.
Song, Zhijun, Hong Wu, Kalai Mathee, Niels Høiby, & Arsalan Kharazmi. (2002). Gerimax Ginseng Regulates Both Humoral and Cellular Immunity During Chronic Pseudomonas aeruginosa Lung Infection. The Journal of Alternative and Complementary Medicine. 8(4). 459–466. 19 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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