Ryan M. Summers

2.3k total citations · 1 hit paper
35 papers, 1.5k citations indexed

About

Ryan M. Summers is a scholar working on Molecular Biology, Biochemistry and Pharmacology. According to data from OpenAlex, Ryan M. Summers has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Biochemistry and 5 papers in Pharmacology. Recurrent topics in Ryan M. Summers's work include Amino Acid Enzymes and Metabolism (12 papers), Polyamine Metabolism and Applications (10 papers) and Ruminant Nutrition and Digestive Physiology (5 papers). Ryan M. Summers is often cited by papers focused on Amino Acid Enzymes and Metabolism (12 papers), Polyamine Metabolism and Applications (10 papers) and Ruminant Nutrition and Digestive Physiology (5 papers). Ryan M. Summers collaborates with scholars based in United States, Switzerland and Mexico. Ryan M. Summers's co-authors include P. N. Hobson, Xiaolei Liu, Zhiwu Zhang, Meng Huang, Yao Zhou, Mani Subramanian, Sridhar Gopishetty, Tai Man Louie, Edwin J. Kirsch and Sujit K. Mohanty and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Journal of Bacteriology.

In The Last Decade

Ryan M. Summers

34 papers receiving 1.4k citations

Hit Papers

BLINK: a package for the next level of genome-wide associ... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan M. Summers United States 20 486 470 276 200 168 35 1.5k
Jianbin Yan China 26 1.1k 2.3× 1.8k 3.8× 144 0.5× 178 0.9× 66 0.4× 57 2.7k
Roberto Pilu Italy 30 598 1.2× 1.4k 3.0× 205 0.7× 106 0.5× 29 0.2× 112 2.6k
Na Wei China 26 804 1.7× 579 1.2× 241 0.9× 128 0.6× 50 0.3× 87 1.9k
Matthias Schreiner Austria 20 224 0.5× 155 0.3× 65 0.2× 251 1.3× 51 0.3× 59 1.5k
Fabrice Davrieux France 29 210 0.4× 862 1.8× 140 0.5× 161 0.8× 528 3.1× 97 2.3k
Ajay Veer Singh India 14 1.2k 2.4× 658 1.4× 205 0.7× 36 0.2× 76 0.5× 60 2.3k
Nancy N. Nichols United States 31 2.0k 4.2× 353 0.8× 261 0.9× 112 0.6× 56 0.3× 64 2.9k
Xing Yan China 28 1.3k 2.7× 214 0.5× 150 0.5× 320 1.6× 199 1.2× 71 2.0k
Li Jiang China 25 765 1.6× 889 1.9× 61 0.2× 110 0.6× 52 0.3× 83 1.9k
Wei Xuan China 36 1.5k 3.0× 3.0k 6.5× 124 0.4× 48 0.2× 66 0.4× 93 3.7k

Countries citing papers authored by Ryan M. Summers

Since Specialization
Citations

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

Fields of papers citing papers by Ryan M. Summers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan M. Summers. 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 Ryan M. Summers. The network helps show where Ryan M. Summers may publish in the future.

Co-authorship network of co-authors of Ryan M. Summers

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan M. Summers. A scholar is included among the top collaborators of Ryan M. Summers 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 Ryan M. Summers. Ryan M. Summers 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.
Zhang, Shuyuan, et al.. (2024). Whole-cell Rieske non-heme iron biocatalysts. Methods in enzymology on CD-ROM/Methods in enzymology. 703. 243–262. 2 indexed citations
2.
Summers, Ryan M., et al.. (2024). Microbial metabolism of caffeine and potential applications in bioremediation. Journal of Applied Microbiology. 135(4). 5 indexed citations
3.
Summers, Ryan M., et al.. (2023). Mixed culture biocatalytic production of the high-value biochemical 7-methylxanthine. Journal of Biological Engineering. 17(1). 2–2. 7 indexed citations
4.
Zhang, Shuyuan, et al.. (2023). Production of 1-methylxanthine via the biodegradation of theophylline by an optimized Escherichia coli strain. Journal of Biotechnology. 379. 25–32. 20 indexed citations
5.
Summers, Ryan M., et al.. (2022). Biocatalytic Production and Purification of the High-value Biochemical Paraxanthine. Biotechnology and Bioprocess Engineering. 27(4). 640–651. 10 indexed citations
6.
Summers, Ryan M., et al.. (2022). Biocatalytic production of 7‐methylxanthine by a caffeine‐degrading Escherichia coli strain. Biotechnology and Bioengineering. 119(11). 3326–3331. 7 indexed citations
7.
Vega, Fernando E., Jonathan Shao, Ryan M. Summers, et al.. (2021). Cultivation and Genome Sequencing of Bacteria Isolated From the Coffee Berry Borer (Hypothenemus hampei), With Emphasis on the Role of Caffeine Degradation. Frontiers in Microbiology. 12. 644768–644768. 19 indexed citations
8.
Zhang, Shuyuan, et al.. (2021). Substrate promiscuity of the NdmCDE N7-demethylase enzyme complex. 2. 18–25. 27 indexed citations
9.
Summers, Ryan M., et al.. (2020). Draft Genome Sequence of Pseudomonas sp. Strain CES, Containing the Entire Alkylxanthine Gene Cluster for Caffeine Breakdown. Microbiology Resource Announcements. 9(28). 3 indexed citations
10.
Summers, Ryan M., et al.. (2020). The Theophylline Aptamer: 25 Years as an Important Tool in Cellular Engineering Research. ACS Synthetic Biology. 9(4). 682–697. 43 indexed citations
11.
Zhang, ‪Shuyuan, et al.. (2020). Caffeine and Theophylline Inhibit β-Galactosidase Activity and Reduce Expression in Escherichia coli. ACS Omega. 5(50). 32250–32255. 16 indexed citations
12.
Kim, Jun Hoe, et al.. (2019). Structural and Mechanistic Insights into Caffeine Degradation by the Bacterial N-Demethylase Complex. Journal of Molecular Biology. 431(19). 3647–3661. 35 indexed citations
13.
Huang, Meng, Xiaolei Liu, Yao Zhou, Ryan M. Summers, & Zhiwu Zhang. (2018). BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millions. GigaScience. 8(2). 478 indexed citations breakdown →
14.
Subramanian, Muthukumar, et al.. (2017). Rapid Proteomics to Prospect and Validate Novel Bacterial Metabolism Induced by Environmental Burden. Methods in enzymology on CD-ROM/Methods in enzymology. 586. 379–411. 1 indexed citations
15.
Summers, Ryan M., et al.. (2015). Direct conversion of theophylline to 3-methylxanthine by metabolically engineered E. coli. Microbial Cell Factories. 14(1). 203–203. 24 indexed citations
16.
Summers, Ryan M., Sridhar Gopishetty, Sujit K. Mohanty, & Mani Subramanian. (2014). New genetic insights to consider coffee waste as feedstock for fuel, feed, and chemicals. Open Chemistry. 12(12). 1271–1279. 17 indexed citations
17.
Summers, Ryan M., et al.. (2013). Caffeine Junkie: an Unprecedented Glutathione S-Transferase-Dependent Oxygenase Required for Caffeine Degradation by Pseudomonas putida CBB5. Journal of Bacteriology. 195(17). 3933–3939. 31 indexed citations
18.
Summers, Ryan M., et al.. (1987). Stirred-tank, mesophilic, anaerobic digestion of fattening-cattle wastes and of whole and separated dairy-cattle wastes. Biological Wastes. 20(1). 43–62. 8 indexed citations
19.
Hobson, P. N., et al.. (1981). Methane Production from Agricultural and Domestic Wastes. 94 indexed citations
20.
Summers, Ryan M., et al.. (1980). A detailed study of piggery-waste anaerobic digestion. Agricultural Wastes. 2(1). 61–78. 45 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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