Michael P. Coryell

403 total citations · 1 hit paper
9 papers, 258 citations indexed

About

Michael P. Coryell is a scholar working on Molecular Biology, Infectious Diseases and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Michael P. Coryell has authored 9 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Michael P. Coryell's work include Arsenic contamination and mitigation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Gut microbiota and health (2 papers). Michael P. Coryell is often cited by papers focused on Arsenic contamination and mitigation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Gut microbiota and health (2 papers). Michael P. Coryell collaborates with scholars based in United States and United Kingdom. Michael P. Coryell's co-authors include Seth T. Walk, Timothy R. McDermott, Paul E. Carlson, Jessica L. Hastie, Julia D. Berkson, Yamei Gao, Alyxandria M. Schubert, Michael A. Fischbach, Tony T. Wang and Huizhong Chen and has published in prestigious journals such as Nature Communications, Scientific Reports and Applied Microbiology and Biotechnology.

In The Last Decade

Michael P. Coryell

8 papers receiving 256 citations

Hit Papers

Phage-specific immunity impairs efficacy of bacteriophage... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael P. Coryell United States 6 112 85 78 52 36 9 258
Xia Fan China 13 155 1.4× 164 1.9× 136 1.7× 103 2.0× 23 0.6× 30 455
Nirmal Kumar India 10 305 2.7× 60 0.7× 39 0.5× 60 1.2× 54 1.5× 32 576
Coral Pardo-Esté Chile 11 94 0.8× 43 0.5× 41 0.5× 91 1.8× 13 0.4× 24 267
Nanna Mee Coops Olsen Denmark 5 173 1.5× 17 0.2× 89 1.1× 90 1.7× 20 0.6× 6 331
Adrian Gόrecki Poland 8 68 0.6× 28 0.3× 38 0.5× 45 0.9× 27 0.8× 17 286
Rikuan Zheng China 12 193 1.7× 48 0.6× 50 0.6× 137 2.6× 86 2.4× 31 425
Jiaxin Dai China 10 99 0.9× 118 1.4× 68 0.9× 75 1.4× 18 0.5× 19 421
Benoît J. Kunath Luxembourg 10 182 1.6× 17 0.2× 38 0.5× 86 1.7× 16 0.4× 14 349
Raquel Rodrigues Portugal 7 53 0.5× 19 0.2× 63 0.8× 61 1.2× 52 1.4× 16 330

Countries citing papers authored by Michael P. Coryell

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Coryell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael P. Coryell

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

All Works

9 of 9 papers shown
1.
Coryell, Michael P., et al.. (2025). Using machine learning models to predict the impact of template mismatches on polymerase chain reaction assay performance. Scientific Reports. 15(1). 16184–16184.
2.
Berkson, Julia D., Alyxandria M. Schubert, Michael P. Coryell, et al.. (2024). Phage-specific immunity impairs efficacy of bacteriophage targeting Vancomycin Resistant Enterococcus in a murine model. Nature Communications. 15(1). 2993–2993. 46 indexed citations breakdown →
3.
Coryell, Michael P., Adovi Akue, Mark KuKuruga, et al.. (2024). Nanobodies as potential tools for microbiological testing of live biotherapeutic products. AMB Express. 14(1). 9–9. 2 indexed citations
4.
Coryell, Michael P., et al.. (2023). Application of MALDI-TOF MS for enumerating bacterial constituents of defined consortia. Applied Microbiology and Biotechnology. 107(12). 4069–4077. 5 indexed citations
5.
Sun, Jinchun, Zhijun Cao, Paul E. Carlson, et al.. (2022). Evaluating Cefoperazone-Induced Gut Metabolic Functional Changes in MR1-Deficient Mice. Metabolites. 12(5). 380–380. 1 indexed citations
6.
Coryell, Michael P., Pallavi P. Murugkar, Jason Rippe, et al.. (2021). A method for detection of SARS-CoV-2 RNA in healthy human stool: a validation study. The Lancet Microbe. 2(6). e259–e266. 20 indexed citations
7.
Sun, Jinchun, Zhijun Cao, Paul E. Carlson, et al.. (2020). Bile Acid Profile and its Changes in Response to Cefoperazone Treatment in MR1 Deficient Mice. Metabolites. 10(4). 127–127. 7 indexed citations
8.
Coryell, Michael P., et al.. (2019). The Human Gut Microbiome’s Influence on Arsenic Toxicity. Current Pharmacology Reports. 5(6). 491–504. 35 indexed citations
9.
Coryell, Michael P., et al.. (2018). The gut microbiome is required for full protection against acute arsenic toxicity in mouse models. Nature Communications. 9(1). 5424–5424. 142 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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