Jason C. Kwan

2.6k total citations
46 papers, 1.6k citations indexed

About

Jason C. Kwan is a scholar working on Molecular Biology, Pharmacology and Biotechnology. According to data from OpenAlex, Jason C. Kwan has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 21 papers in Pharmacology and 20 papers in Biotechnology. Recurrent topics in Jason C. Kwan's work include Microbial Natural Products and Biosynthesis (21 papers), Marine Sponges and Natural Products (18 papers) and Genomics and Phylogenetic Studies (13 papers). Jason C. Kwan is often cited by papers focused on Microbial Natural Products and Biosynthesis (21 papers), Marine Sponges and Natural Products (18 papers) and Genomics and Phylogenetic Studies (13 papers). Jason C. Kwan collaborates with scholars based in United States, Germany and South Africa. Jason C. Kwan's co-authors include Hendrik Luesch, Valerie J. Paul, Eric W. Schmidt, Ian Miller, Tim S. Bugni, Max Teplitski, Thomas P. Wyche, Sarath P. Gunasekera, Margo G. Haygood and Ma. Diarey B. Tianero and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jason C. Kwan

44 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason C. Kwan United States 23 733 649 560 231 214 46 1.6k
Thomas P. Wyche United States 23 947 1.3× 735 1.1× 430 0.8× 321 1.4× 221 1.0× 45 1.9k
Till F. Schäberle Germany 27 885 1.2× 878 1.4× 569 1.0× 293 1.3× 288 1.3× 108 2.1k
Holger Jenke‐Kodama Germany 21 1.0k 1.4× 977 1.5× 302 0.5× 183 0.8× 224 1.0× 27 1.7k
Marcelino Gutiérrez Panama 20 399 0.5× 353 0.5× 339 0.6× 177 0.8× 107 0.5× 40 1.1k
Yinhua Lü China 26 1.5k 2.0× 1.1k 1.7× 376 0.7× 208 0.9× 297 1.4× 84 2.2k
Tor Haug Norway 28 694 0.9× 210 0.3× 513 0.9× 248 1.1× 151 0.7× 49 2.0k
Hong Gao China 23 855 1.2× 486 0.7× 271 0.5× 126 0.5× 146 0.7× 67 1.6k
Mercedes de la Cruz Spain 26 726 1.0× 1.0k 1.6× 660 1.2× 254 1.1× 135 0.6× 70 1.7k
Laura M. Sanchez United States 20 1.1k 1.4× 584 0.9× 305 0.5× 126 0.5× 207 1.0× 68 1.9k
Mohamed Mehiri France 19 493 0.7× 224 0.3× 235 0.4× 155 0.7× 112 0.5× 48 1.0k

Countries citing papers authored by Jason C. Kwan

Since Specialization
Citations

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

Fields of papers citing papers by Jason C. Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason C. Kwan. 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 Jason C. Kwan. The network helps show where Jason C. Kwan may publish in the future.

Co-authorship network of co-authors of Jason C. Kwan

This figure shows the co-authorship network connecting the top 25 collaborators of Jason C. Kwan. A scholar is included among the top collaborators of Jason C. Kwan 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 Jason C. Kwan. Jason C. Kwan 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.
Woolet, Jamie, et al.. (2025). Complex effects of a prescribed burn on a prairie soil bacterial community. Soil Biology and Biochemistry. 214. 110047–110047.
2.
Lin, Zhenjian, et al.. (2025). Jaspamide/Jasplakinolide Is Synthesized by Jaspinella (Tectomicrobia) Bacteria in Sponges. Journal of Natural Products. 88(6). 1471–1480.
3.
Flórez, Laura V., et al.. (2024). Repeated horizontal acquisition of lagriamide-producing symbionts in Lagriinae beetles. The ISME Journal. 18(1). 2 indexed citations
4.
Aron, Allegra T., Daniel Petras, Emily C. Gentry, et al.. (2024). Environmental metabolomics characterization of modern stromatolites and annotation of ibhayipeptolides. PLoS ONE. 19(5). e0303273–e0303273. 3 indexed citations
5.
Xu, Dongbo, et al.. (2022). Uncovering Lasonolide A Biosynthesis Using Genome-Resolved Metagenomics. mBio. 13(5). e0152422–e0152422. 8 indexed citations
6.
Liang, Xiao, Qi-Yin Chen, Gustavo Seabra, et al.. (2021). Bifunctional Doscadenamides Activate Quorum Sensing in Gram-Negative Bacteria and Synergize with TRAIL to Induce Apoptosis in Cancer Cells. Journal of Natural Products. 84(3). 779–789. 7 indexed citations
7.
Rayko, Mikhail, Aleksey Komissarov, Jason C. Kwan, et al.. (2020). Draft genome of Bugula neritina, a colonial animal packing powerful symbionts and potential medicines. Scientific Data. 7(1). 356–356. 7 indexed citations
8.
Rees, Evan, et al.. (2020). Conserved bacterial genomes from two geographically isolated peritidal stromatolite formations shed light on potential functional guilds. Environmental Microbiology Reports. 13(2). 126–137. 14 indexed citations
10.
Seal, Bruce S., Djamel Drider, Brian B. Oakley, et al.. (2018). Microbial-derived products as potential new antimicrobials. Veterinary Research. 49(1). 66–66. 53 indexed citations
11.
Gao, Bowen, Jason C. Kwan, Chenglong Li, et al.. (2018). Discovery, Synthesis, Pharmacological Profiling, and Biological Characterization of Brintonamides A–E, Novel Dual Protease and GPCR Modulators from a Marine Cyanobacterium. Journal of Medicinal Chemistry. 61(14). 6364–6378. 23 indexed citations
12.
Smith, Thomas E., Christopher D. Pond, Elizabeth Pierce, et al.. (2018). Accessing chemical diversity from the uncultivated symbionts of small marine animals. Nature Chemical Biology. 14(2). 179–185. 75 indexed citations
13.
Torres, Joshua P., Jason C. Kwan, Jason S. Biggs, et al.. (2017). Stenotrophomonas-Like Bacteria Are Widespread Symbionts in Cone Snail Venom Ducts. Applied and Environmental Microbiology. 83(23). 14 indexed citations
14.
Lin, Zhenjian, et al.. (2016). Origin of Chemical Diversity in Prochloron-Tunicate Symbiosis. Applied and Environmental Microbiology. 82(12). 3450–3460. 22 indexed citations
15.
Kwan, Jason C., Ranjala Ratnayake, Ryo Hatano, et al.. (2014). Grassypeptolides as Natural Inhibitors of Dipeptidyl Peptidase 8 and T‐Cell Activation. ChemBioChem. 15(6). 799–804. 20 indexed citations
16.
Kwan, Jason C., Ma. Diarey B. Tianero, Mohamed S. Donia, et al.. (2014). Host Control of Symbiont Natural Product Chemistry in Cryptic Populations of the Tunicate Lissoclinum patella. PLoS ONE. 9(5). e95850–e95850. 20 indexed citations
17.
Lin, Zhenjian, Joshua P. Torres, Russell W. Teichert, et al.. (2013). A Bacterial Source for Mollusk Pyrone Polyketides. Chemistry & Biology. 20(1). 73–81. 59 indexed citations
18.
Kwan, Jason C., et al.. (2011). Lyngbyoic acid, a “tagged” fatty acid from a marine cyanobacterium, disrupts quorum sensing in Pseudomonas aeruginosa. Molecular BioSystems. 7(4). 1205–1216. 71 indexed citations
19.
Akindele, Abidemi J., Erika A. Eksioglu, Jason C. Kwan, et al.. (2010). Biological effects ofByrsocarpus coccineus in vitro. Pharmaceutical Biology. 49(2). 152–160. 6 indexed citations
20.
Kwan, Jason C., Kanchan Taori, Valerie J. Paul, & Hendrik Luesch. (2009). Lyngbyastatins 8–10, Elastase Inhibitors with Cyclic Depsipeptide Scaffolds Isolated from the Marine Cyanobacterium Lyngbya semiplena. Marine Drugs. 7(4). 528–538. 68 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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