Michael C. Roy

1.5k total citations
42 papers, 1.1k citations indexed

About

Michael C. Roy is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Michael C. Roy has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Organic Chemistry and 8 papers in Pharmacology. Recurrent topics in Michael C. Roy's work include Microbial Natural Products and Biosynthesis (8 papers), Marine Sponges and Natural Products (7 papers) and Microbial Community Ecology and Physiology (6 papers). Michael C. Roy is often cited by papers focused on Microbial Natural Products and Biosynthesis (8 papers), Marine Sponges and Natural Products (7 papers) and Microbial Community Ecology and Physiology (6 papers). Michael C. Roy collaborates with scholars based in Japan, United States and Russia. Michael C. Roy's co-authors include Kenneth C. Waterman, Alejandro Villar‐Briones, Bruce C. MacDonald, Steven D. Aird, Alexander S. Mikheyev, Yutaka Watanabe, Junichi Tanaka, Girish Beedessee, Kanako Hisata and Noriyuki Satoh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Analytical Biochemistry.

In The Last Decade

Michael C. Roy

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael C. Roy Japan 19 376 165 136 133 133 42 1.1k
Giorgia Del Favero Austria 26 629 1.7× 53 0.3× 146 1.1× 68 0.5× 56 0.4× 98 1.9k
Yang Yue China 24 709 1.9× 64 0.4× 174 1.3× 22 0.2× 299 2.2× 84 1.8k
Satoshi Sano Japan 23 2.0k 5.3× 222 1.3× 143 1.1× 93 0.7× 214 1.6× 60 3.0k
Régine Lebrun France 24 863 2.3× 131 0.8× 37 0.3× 15 0.1× 93 0.7× 58 1.4k
Rómulo Aráoz France 22 642 1.7× 130 0.8× 247 1.8× 31 0.2× 16 0.1× 57 1.5k
Mark S. Dunstan United Kingdom 25 1.5k 3.9× 88 0.5× 271 2.0× 24 0.2× 135 1.0× 39 2.1k
Akio Miyake Japan 25 1.1k 3.0× 375 2.3× 299 2.2× 16 0.1× 174 1.3× 100 1.8k
Karen L. Erickson United States 25 606 1.6× 77 0.5× 648 4.8× 52 0.4× 27 0.2× 78 1.8k
E. Ya. Kostetsky Russia 16 707 1.9× 176 1.1× 145 1.1× 7 0.1× 62 0.5× 60 1.7k
Noel F. Whittaker United States 13 418 1.1× 42 0.3× 334 2.5× 29 0.2× 77 0.6× 24 1.3k

Countries citing papers authored by Michael C. Roy

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael C. Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Roy. A scholar is included among the top collaborators of Michael C. Roy 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 Michael C. Roy. Michael C. Roy 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.
Ju, Xiang-Chun, Shin‐Yu Lee, Laís Ceschini Machado, et al.. (2025). The activity and expression of adenylosuccinate lyase were reduced during modern human evolution, affecting brain and behavior. Proceedings of the National Academy of Sciences. 122(32). e2508540122–e2508540122. 1 indexed citations
2.
Roy, Michael C., et al.. (2023). Bacterial communities and toxin profiles of Ostreopsis (Dinophyceae) from the Pacific island of Okinawa, Japan. European Journal of Protistology. 89. 125976–125976. 2 indexed citations
3.
Deolka, Shubham, Ramadoss Govindarajan, Michael C. Roy, et al.. (2023). General High-Valent Nickel Metallocycle Catalyst for the Perfluoroalkylation of Heteroarenes and Peptides. ACS Catalysis. 13(19). 13127–13139. 9 indexed citations
4.
Deolka, Shubham, Ramadoss Govindarajan, Eugene Khaskin, et al.. (2023). Oxygen transfer reactivity mediated by nickel perfluoroalkyl complexes using molecular oxygen as a terminal oxidant. Chemical Science. 14(25). 7026–7035. 5 indexed citations
5.
Deolka, Shubham, Ramadoss Govindarajan, Serhii Vasylevskyi, et al.. (2022). Ligand-free nickel catalyzed perfluoroalkylation of arenes and heteroarenes. Chemical Science. 13(44). 12971–12979. 11 indexed citations
6.
Deolka, Shubham, Ramadoss Govindarajan, Eugene Khaskin, et al.. (2021). Photoinduced Trifluoromethylation of Arenes and Heteroarenes Catalyzed by High‐Valent Nickel Complexes. Angewandte Chemie International Edition. 60(46). 24620–24629. 41 indexed citations
7.
Deolka, Shubham, Ramadoss Govindarajan, Eugene Khaskin, et al.. (2021). Photoinduced Trifluoromethylation of Arenes and Heteroarenes Catalyzed by High‐Valent Nickel Complexes. Angewandte Chemie. 133(46). 24825–24834. 7 indexed citations
8.
9.
Vojkovský, Tomáš, et al.. (2020). Catalytic Sulfone Upgrading Reaction with Alcohols via Ru(II). ACS Catalysis. 10(12). 6810–6815. 15 indexed citations
10.
Taoufiq, Zacharie, Momchil Ninov, Alejandro Villar‐Briones, et al.. (2020). Hidden proteome of synaptic vesicles in the mammalian brain. Proceedings of the National Academy of Sciences. 117(52). 33586–33596. 70 indexed citations
11.
Beedessee, Girish, Kanako Hisata, Michael C. Roy, et al.. (2019). Diversified secondary metabolite biosynthesis gene repertoire revealed in symbiotic dinoflagellates. Scientific Reports. 9(1). 1204–1204. 24 indexed citations
12.
Shoguchi, Eiichi, Girish Beedessee, I. Tada, et al.. (2018). Two divergent Symbiodinium genomes reveal conservation of a gene cluster for sunscreen biosynthesis and recently lost genes. BMC Genomics. 19(1). 458–458. 97 indexed citations
13.
Soliman, Taha, James Davis Reimer, Sung‐Yin Yang, et al.. (2017). Diversity of Microbial Communities and Quantitative Chemodiversity in Layers of Marine Sediment Cores from a Causeway (Kaichu-Doro) in Okinawa Island, Japan. Frontiers in Microbiology. 8. 2451–2451. 8 indexed citations
14.
15.
Roy, Michael C., et al.. (2010). A high recovery microsampling device based on a microdialysis probe for peptide sampling. Analytical Biochemistry. 399(2). 305–307. 9 indexed citations
16.
17.
Waterman, Kenneth C., et al.. (2007). Improved Protocol and Data Analysis for Accelerated Shelf-Life Estimation of Solid Dosage Forms. Pharmaceutical Research. 24(4). 780–790. 82 indexed citations
18.
Waterman, Kenneth C. & Michael C. Roy. (2002). Use of Oxygen Scavengers to Stabilize Solid Pharmaceutical Dosage Forms: A Case Study. Pharmaceutical Development and Technology. 7(2). 227–234. 9 indexed citations
19.
Zehender, H, J. Denouël, Michael C. Roy, Olivia Le Saux, & Peter Schaub. (1995). Simultaneous determination of terbinafine (Lamisil) and five metabolites in human plasma and urine by high-performance liquid chromatography using on-line solid-phase extraction. PubMed. 664(2). 347–355. 38 indexed citations
20.
Herrmann, Heidrun, et al.. (1988). In vivo generation of R68.45-pPGH1 hybrid plasmids conferring a Phl+ (meta pathway) phenotype. Molecular and General Genetics MGG. 214(1). 173–176. 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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