Satria A. Kautsar

5.7k total citations · 3 hit papers
16 papers, 2.6k citations indexed

About

Satria A. Kautsar is a scholar working on Molecular Biology, Pharmacology and Biotechnology. According to data from OpenAlex, Satria A. Kautsar has authored 16 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Pharmacology and 3 papers in Biotechnology. Recurrent topics in Satria A. Kautsar's work include Microbial Natural Products and Biosynthesis (13 papers), Plant biochemistry and biosynthesis (8 papers) and Genomics and Phylogenetic Studies (7 papers). Satria A. Kautsar is often cited by papers focused on Microbial Natural Products and Biosynthesis (13 papers), Plant biochemistry and biosynthesis (8 papers) and Genomics and Phylogenetic Studies (7 papers). Satria A. Kautsar collaborates with scholars based in Netherlands, Denmark and United States. Satria A. Kautsar's co-authors include Marnix H. Medema, Kai Blin, Tilmann Weber, Hernando G. Suárez Duran, Emmanuel L. C. de los Santos, Anne Osbourn, Ekaterina Shelest, Hyun Uk Kim, Thomas Wolf and Jeroen S. Dickschat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Chemical Biology.

In The Last Decade

Satria A. Kautsar

15 papers receiving 2.5k citations

Hit Papers

antiSMASH 4.0—improvements in chemistry prediction and ge... 2017 2026 2020 2023 2017 2019 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satria A. Kautsar Netherlands 12 1.9k 1.4k 478 430 321 16 2.6k
Emmanuel L. C. de los Santos United Kingdom 12 1.5k 0.8× 1.1k 0.8× 385 0.8× 359 0.8× 263 0.8× 18 2.1k
Mohammad Alanjary Germany 16 2.0k 1.1× 1.4k 1.0× 544 1.1× 553 1.3× 486 1.5× 25 2.9k
Francisco Barona‐Gómez Mexico 23 1.6k 0.9× 1.2k 0.8× 428 0.9× 414 1.0× 252 0.8× 61 2.4k
Alexander Kloosterman Netherlands 8 1.4k 0.8× 814 0.6× 527 1.1× 348 0.8× 412 1.3× 9 2.1k
Eric J. N. Helfrich Germany 22 1.7k 0.9× 1.4k 1.0× 621 1.3× 685 1.6× 412 1.3× 39 2.9k
Ekaterina Shelest Germany 20 1.5k 0.8× 1.3k 0.9× 810 1.7× 383 0.9× 227 0.7× 37 2.7k
Daniel Krug Germany 26 2.4k 1.3× 2.0k 1.4× 585 1.2× 835 1.9× 404 1.3× 39 3.5k
Christopher J. Schwalen United States 8 1.3k 0.7× 1.0k 0.7× 275 0.6× 269 0.6× 177 0.6× 11 1.7k
Xiaoying Bian China 28 1.9k 1.0× 1.2k 0.9× 380 0.8× 444 1.0× 218 0.7× 91 2.7k
Joachim Wink Germany 29 1.6k 0.9× 1.4k 0.9× 366 0.8× 600 1.4× 429 1.3× 120 2.7k

Countries citing papers authored by Satria A. Kautsar

Since Specialization
Citations

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

Fields of papers citing papers by Satria A. Kautsar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satria A. Kautsar. 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 Satria A. Kautsar. The network helps show where Satria A. Kautsar may publish in the future.

Co-authorship network of co-authors of Satria A. Kautsar

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

All Works

16 of 16 papers shown
1.
Bağcı, Caner, Luděk Sehnal, Kai Blin, et al.. (2024). BGC Atlas: a web resource for exploring the global chemical diversity encoded in bacterial genomes. Nucleic Acids Research. 53(D1). D618–D624. 13 indexed citations
2.
Udwary, Daniel, et al.. (2024). The secondary metabolism collaboratory: a database and web discussion portal for secondary metabolite biosynthetic gene clusters. Nucleic Acids Research. 53(D1). D717–D723. 14 indexed citations
3.
Louwen, Joris J. R., et al.. (2023). iPRESTO: Automated discovery of biosynthetic sub-clusters linked to specific natural product substructures. PLoS Computational Biology. 19(2). e1010462–e1010462. 9 indexed citations
4.
Gavriilidou, Athina, Satria A. Kautsar, Nestor Zaburannyi, et al.. (2022). Compendium of specialized metabolite biosynthetic diversity encoded in bacterial genomes. Nature Microbiology. 7(5). 726–735. 181 indexed citations breakdown →
5.
Mydy, Lisa S., Wenjie Li, Jesse W. Wotring, et al.. (2021). Discovery and biosynthesis of cyclic plant peptides via autocatalytic cyclases. Nature Chemical Biology. 18(1). 18–28. 62 indexed citations
6.
Kautsar, Satria A., Justin J. J. van der Hooft, Dick de Ridder, & Marnix H. Medema. (2021). BiG-SLiCE: A highly scalable tool maps the diversity of 1.2 million biosynthetic gene clusters. GigaScience. 10(1). 135 indexed citations
7.
Blin, Kai, Simon J. Shaw, Satria A. Kautsar, Marnix H. Medema, & Tilmann Weber. (2020). The antiSMASH database version 3: increased taxonomic coverage and new query features for modular enzymes. Nucleic Acids Research. 49(D1). D639–D643. 101 indexed citations
8.
Kautsar, Satria A., Kai Blin, Simon J. Shaw, Tilmann Weber, & Marnix H. Medema. (2020). BiG-FAM: the biosynthetic gene cluster families database. Nucleic Acids Research. 49(D1). D490–D497. 146 indexed citations
9.
Santen, Jeffrey A. van, Satria A. Kautsar, Marnix H. Medema, & Roger G. Linington. (2020). Microbial natural product databases: moving forward in the multi-omics era. Natural Product Reports. 38(1). 264–278. 53 indexed citations
10.
Navarro-Muñoz, Jorge C., Nelly Sélem‐Mójica, Michael W. Mullowney, et al.. (2019). A computational framework to explore large-scale biosynthetic diversity. Nature Chemical Biology. 16(1). 60–68. 590 indexed citations breakdown →
11.
Navarro-Muñoz, Jorge C., Nelly Sélem‐Mójica, Michael W. Mullowney, et al.. (2018). Genomic data for "A computational framework to explore large-scale biosynthetic diversity". Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
12.
Kautsar, Satria A., Hernando G. Suárez Duran, & Marnix H. Medema. (2018). Genomic Identification and Analysis of Specialized Metabolite Biosynthetic Gene Clusters in Plants Using PlantiSMASH. Methods in molecular biology. 1795. 173–188. 8 indexed citations
13.
Blin, Kai, Thomas Wolf, Marc G. Chevrette, et al.. (2017). antiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification. Nucleic Acids Research. 45(W1). W36–W41. 920 indexed citations breakdown →
14.
Kautsar, Satria A., Hernando G. Suárez Duran, Kai Blin, Anne Osbourn, & Marnix H. Medema. (2017). plantiSMASH: automated identification, annotation and expression analysis of plant biosynthetic gene clusters. Nucleic Acids Research. 45(W1). W55–W63. 225 indexed citations
15.
Huang, Ancheng C., Satria A. Kautsar, Young J. Hong, et al.. (2017). Unearthing a sesterterpene biosynthetic repertoire in the Brassicaceae through genome mining reveals convergent evolution. Proceedings of the National Academy of Sciences. 114(29). E6005–E6014. 106 indexed citations
16.

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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