Ryan C. Shean

841 total citations · 1 hit paper
23 papers, 530 citations indexed

About

Ryan C. Shean is a scholar working on Epidemiology, Infectious Diseases and Ecology. According to data from OpenAlex, Ryan C. Shean has authored 23 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Infectious Diseases and 3 papers in Ecology. Recurrent topics in Ryan C. Shean's work include Respiratory viral infections research (6 papers), Bacteriophages and microbial interactions (3 papers) and Animal Virus Infections Studies (3 papers). Ryan C. Shean is often cited by papers focused on Respiratory viral infections research (6 papers), Bacteriophages and microbial interactions (3 papers) and Animal Virus Infections Studies (3 papers). Ryan C. Shean collaborates with scholars based in United States, South Africa and United Kingdom. Ryan C. Shean's co-authors include Alexander L. Greninger, Negar Makhsous, Alexander A. Kolykhalov, Jeong-Joong Yoon, Prabhakar Reddy, M. N. Hart, Gregory R. Bluemling, Richard K. Plemper, Robert M. Cox and Märt Toots and has published in prestigious journals such as Journal of Clinical Investigation, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Ryan C. Shean

19 papers receiving 523 citations

Hit Papers

Characterization of orally efficacious influenza drug wit... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan C. Shean United States 10 317 194 119 52 33 23 530
Negar Makhsous United States 13 327 1.0× 271 1.4× 163 1.4× 33 0.6× 26 0.8× 19 656
Sehee Park South Korea 15 349 1.1× 297 1.5× 201 1.7× 25 0.5× 36 1.1× 39 897
Maochen Li China 9 338 1.1× 69 0.4× 156 1.3× 40 0.8× 39 1.2× 21 597
Elena Moreno Spain 13 188 0.6× 109 0.6× 139 1.2× 33 0.6× 13 0.4× 46 535
Yoshitaka Shimotai Japan 13 249 0.8× 329 1.7× 98 0.8× 15 0.3× 65 2.0× 33 640
Raquel Guiomar Portugal 16 270 0.9× 375 1.9× 112 0.9× 38 0.7× 13 0.4× 46 774
Joon‐Yong Bae South Korea 18 395 1.2× 291 1.5× 209 1.8× 18 0.3× 17 0.5× 61 907
Kazuhiko Kanou Japan 15 237 0.7× 169 0.9× 145 1.2× 25 0.5× 11 0.3× 34 557
Gregory R. Bluemling United States 10 663 2.1× 320 1.6× 179 1.5× 24 0.5× 47 1.4× 15 901

Countries citing papers authored by Ryan C. Shean

Since Specialization
Citations

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

Fields of papers citing papers by Ryan C. Shean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan C. Shean

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan C. Shean. A scholar is included among the top collaborators of Ryan C. Shean 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 C. Shean. Ryan C. Shean 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.
Shean, Ryan C., et al.. (2025). High-sensitivity KIT D816V variation analysis by droplet digital polymerase chain reaction: The reference laboratory perspective. American Journal of Clinical Pathology. 164(2). 145–149. 4 indexed citations
2.
Doering, Michelle, et al.. (2025). Machine learning-based error detection in the clinical laboratory: a critical review. Critical Reviews in Clinical Laboratory Sciences. 62(7). 535–547.
3.
Mathison, Blaine A., Ryan C. Shean, Brendan O’Fallon, et al.. (2025). Use of a convolutional neural network for direct detection of acid-fast bacilli from clinical specimens. Microbiology Spectrum. 13(8). e0060225–e0060225.
4.
Shean, Ryan C., et al.. (2025). Digital Pathology in Hematopathology: From Vision to Deployment. International Journal of Laboratory Hematology.
5.
Shean, Ryan C., Jonathan R. Genzen, & Nicholas C. Spies. (2025). Large Language Models Lack Sufficient Performance to Provide Definitive Regulatory Guidance. The Journal of Applied Laboratory Medicine. 10(4). 1069–1071. 1 indexed citations
6.
Shean, Ryan C., et al.. (2025). Intravenous fluid-induced specimen contamination and detection strategies in clinical laboratories: a narrative review. Journal of Laboratory and Precision Medicine. 10. 23–23.
7.
Shean, Ryan C., et al.. (2024). Advances in Hematology Analyzers Technology. Clinics in Laboratory Medicine. 44(3). 377–386. 2 indexed citations
8.
Shean, Ryan C., et al.. (2024). Repeat testing of mpox specimens with late CTs improves detection of potential false positive cases. Journal of Clinical Microbiology. 62(2). e0127523–e0127523. 2 indexed citations
9.
Shean, Ryan C., et al.. (2024). A retrospective observational study of mNGS test utilization to examine the role of diagnostic stewardship at two academic medical centers. Journal of Clinical Microbiology. 62(9). e0060524–e0060524. 3 indexed citations
10.
Greninger, Alexander L., Ksenia Rybkina, Michelle J. Lin, et al.. (2021). Human parainfluenza virus evolution during lung infection of immunocompromised individuals promotes viral persistence. Journal of Clinical Investigation. 131(23). 21 indexed citations
11.
Li, Yanpeng, et al.. (2021). CrAssphage and its bacterial host in cat feces. Scientific Reports. 11(1). 20 indexed citations
12.
Barrett, Sara L. Rassoulian, Elizabeth A. Holmes, Dustin R. Long, et al.. (2020). Cell free DNA from respiratory pathogens is detectable in the blood plasma of Cystic Fibrosis patients. Scientific Reports. 10(1). 6903–6903. 17 indexed citations
13.
Peddu, Vikas, Ryan C. Shean, Hong Xie, et al.. (2020). Metagenomic Analysis Reveals Clinical SARS-CoV-2 Infection and Bacterial or Viral Superinfection and Colonization. Clinical Chemistry. 66(7). 966–972. 44 indexed citations
14.
Toots, Märt, Jeong-Joong Yoon, Robert M. Cox, et al.. (2019). Characterization of orally efficacious influenza drug with high resistance barrier in ferrets and human airway epithelia. Science Translational Medicine. 11(515). 233 indexed citations breakdown →
15.
Shean, Ryan C. & Alexander L. Greninger. (2019). One future of clinical metagenomic sequencing for infectious diseases. Expert Review of Molecular Diagnostics. 19(10). 849–851. 5 indexed citations
16.
17.
Shean, Ryan C. & Alexander L. Greninger. (2018). Private collection: high correlation of sample collection and patient admission date in clinical microbiological testing complicates sharing of phylodynamic metadata. Virus Evolution. 4(1). vey005–vey005. 5 indexed citations
18.
Roberts, Marilyn C., Sally J. Trufan, Heather Fowler, et al.. (2018). Distribution of Staphylococcus species in dairy cows, workers and shared farm environments. FEMS Microbiology Letters. 365(15). 15 indexed citations
19.
Iketani, Sho, Ryan C. Shean, Marion Ferren, et al.. (2018). Viral Entry Properties Required for Fitness in Humans Are Lost through Rapid Genomic Change during Viral Isolation. mBio. 9(4). 42 indexed citations
20.
Greninger, Alexander L., Gregory Pepper, Ryan C. Shean, et al.. (2017). Myeloablation-associated deletion of ORF4 in a human coronavirus 229E infection. npj Genomic Medicine. 2(1). 30–30. 6 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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