Kevin T. Watts

678 total citations
8 papers, 517 citations indexed

About

Kevin T. Watts is a scholar working on Molecular Biology, Pharmacology and Biotechnology. According to data from OpenAlex, Kevin T. Watts has authored 8 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pharmacology and 2 papers in Biotechnology. Recurrent topics in Kevin T. Watts's work include Plant biochemistry and biosynthesis (4 papers), Plant Gene Expression Analysis (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). Kevin T. Watts is often cited by papers focused on Plant biochemistry and biosynthesis (4 papers), Plant Gene Expression Analysis (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). Kevin T. Watts collaborates with scholars based in United States and Belgium. Kevin T. Watts's co-authors include Pyung Cheon Lee, Claudia Schmidt‐Dannert, Claudia Schmidt-Dannert, Benjamin N. Mijts, Andrew J. Manning, Ralf Petri, Michael N. Gould, L.A. Shepel, Jill D. Haag and Ehsan Khafipour and has published in prestigious journals such as Frontiers in Microbiology, Advanced Synthesis & Catalysis and Metabolic Engineering.

In The Last Decade

Kevin T. Watts

8 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin T. Watts United States	8	468	116	75	70	67	8	517
Luan Luong Chu South Korea	13	354 0.8×	56 0.5×	73 1.0×	13 0.2×	87 1.3×	21	459
Benjamin Pickel Germany	8	269 0.6×	56 0.5×	64 0.9×	31 0.4×	173 2.6×	9	403
Guang-Rong Zhao China	10	483 1.0×	91 0.8×	117 1.6×	13 0.2×	19 0.3×	19	531
Eunok Jung South Korea	14	354 0.8×	108 0.9×	79 1.1×	5 0.1×	65 1.0×	19	520
Lenka Weignerová Czechia	17	529 1.1×	303 2.6×	38 0.5×	6 0.1×	43 0.6×	37	674
Ascensión Martínez‐Márquez Spain	12	288 0.6×	76 0.7×	28 0.4×	139 2.0×	125 1.9×	21	409
Eui Il Hwang South Korea	10	268 0.6×	69 0.6×	83 1.1×	7 0.1×	75 1.1×	16	376
Silvia Nicotra Italy	7	119 0.3×	154 1.3×	26 0.3×	29 0.4×	199 3.0×	7	342
Jingbo Ma China	11	335 0.7×	66 0.6×	47 0.6×	11 0.2×	44 0.7×	17	387
Aijun Dong China	10	356 0.8×	57 0.5×	33 0.4×	11 0.2×	139 2.1×	12	507

Countries citing papers authored by Kevin T. Watts

Since Specialization

Citations

This map shows the geographic impact of Kevin T. Watts'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 Kevin T. Watts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin T. Watts more than expected).

Fields of papers citing papers by Kevin T. Watts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin T. Watts. 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 Kevin T. Watts. The network helps show where Kevin T. Watts may publish in the future.

Co-authorship network of co-authors of Kevin T. Watts

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

All Works

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8 of 8 papers shown

Duysburgh, Cindy, Kevin T. Watts, Maria Sardi, et al.. (2024). Saccharomyces cerevisiae derived postbiotic alters gut microbiome metabolism in the human distal colon resulting in immunomodulatory potential in vitro. Frontiers in Microbiology. 15. 1358456–1358456. 10 indexed citations

Watts, Kevin T., Benjamin N. Mijts, Pyung Cheon Lee, Andrew J. Manning, & Claudia Schmidt‐Dannert. (2006). Discovery of a Substrate Selectivity Switch in Tyrosine Ammonia-Lyase, a Member of the Aromatic Amino Acid Lyase Family. Chemistry & Biology. 13(12). 1317–1326. 121 indexed citations

Watts, Kevin T., Pyung Cheon Lee, & Claudia Schmidt-Dannert. (2006). Biosynthesis of plant-specific stilbene polyketides in metabolically engineered Escherichia coli. BMC Biotechnology. 6(1). 22–22. 149 indexed citations

Lee, Pyung Cheon, Ralf Petri, Benjamin N. Mijts, Kevin T. Watts, & Claudia Schmidt‐Dannert. (2005). Directed evolution of Escherichia coli farnesyl diphosphate synthase (IspA) reveals novel structural determinants of chain length specificity. Metabolic Engineering. 7(1). 18–26. 41 indexed citations

Watts, Kevin T., Benjamin N. Mijts, & Claudia Schmidt‐Dannert. (2005). Current and Emerging Approaches for Natural Product Biosynthesis in Microbial Cells. Advanced Synthesis & Catalysis. 347(7-8). 927–940. 27 indexed citations

Watts, Kevin T., Pyung Cheon Lee, & Claudia Schmidt‐Dannert. (2004). Exploring Recombinant Flavonoid Biosynthesis in Metabolically Engineered Escherichia coli. ChemBioChem. 5(4). 500–507. 141 indexed citations

Lee, Pyung Cheon, Benjamin N. Mijts, Ralf Petri, Kevin T. Watts, & Claudia Schmidt‐Dannert. (2004). Alteration of product specificity of Aeropyrum pernix farnesylgeranyl diphosphate synthase (Fgs) by directed evolution. Protein Engineering Design and Selection. 17(11). 771–777. 12 indexed citations

Haag, Jill D., et al.. (2003). Congenic rats reveal three independent Copenhagen alleles within the Mcs1 quantitative trait locus that confer resistance to mammary cancer.. PubMed. 63(18). 5808–12. 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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