Shannon Quinn

523 total citations
34 papers, 322 citations indexed

About

Shannon Quinn is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Epidemiology. According to data from OpenAlex, Shannon Quinn has authored 34 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Epidemiology. Recurrent topics in Shannon Quinn's work include Cell Image Analysis Techniques (5 papers), Functional Brain Connectivity Studies (5 papers) and Toxoplasma gondii Research Studies (4 papers). Shannon Quinn is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Functional Brain Connectivity Studies (5 papers) and Toxoplasma gondii Research Studies (4 papers). Shannon Quinn collaborates with scholars based in United States, Saudi Arabia and Israel. Shannon Quinn's co-authors include Robert F. Murphy, Joshua Kangas, Aabid Shariff, Luís Pedro Coelho, Patrick J. Breen, Barbara J. Reaves, Balázs Rada, Payel Sil, Jeremy Sokolove and Richard Francis and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Molecular Microbiology.

In The Last Decade

Shannon Quinn

31 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shannon Quinn United States	9	104	66	45	41	34	34	322
Rana Riahi United States	7	79 0.8×	54 0.8×	78 1.7×	18 0.4×	24 0.7×	11	376
Richard Halpert United States	5	130 1.3×	36 0.5×	85 1.9×	95 2.3×	20 0.6×	7	511
Nathalie Harder Germany	15	206 2.0×	154 2.3×	70 1.6×	84 2.0×	20 0.6×	31	525
Rina Anno United States	5	87 0.8×	27 0.4×	80 1.8×	78 1.9×	16 0.5×	10	410
Grégory Paul Switzerland	6	179 1.7×	135 2.0×	38 0.8×	50 1.2×	5 0.1×	11	482
Maria Colomba Comes Italy	16	80 0.8×	89 1.3×	226 5.0×	17 0.4×	92 2.7×	60	691
Yue Cao China	9	308 3.0×	66 1.0×	94 2.1×	45 1.1×	14 0.4×	39	564
K. Rohr Germany	13	134 1.3×	216 3.3×	79 1.8×	23 0.6×	17 0.5×	39	479
Scott Gigante United States	5	461 4.4×	109 1.7×	65 1.4×	87 2.1×	23 0.7×	6	707
Khalid Masood Pakistan	11	82 0.8×	31 0.5×	78 1.7×	6 0.1×	14 0.4×	32	345

Countries citing papers authored by Shannon Quinn

Since Specialization

Citations

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

Fields of papers citing papers by Shannon Quinn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shannon Quinn. 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 Shannon Quinn. The network helps show where Shannon Quinn may publish in the future.

Co-authorship network of co-authors of Shannon Quinn

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

All Works

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20 of 20 papers shown

Triana, Miryam Andrea Hortua, et al.. (2024). Regulation of calcium entry by cyclic GMP signaling in Toxoplasma gondii. Journal of Biological Chemistry. 300(3). 105771–105771. 4 indexed citations

Miller, Eric J., et al.. (2022). Low Level Feature Extraction for Cilia Segmentation. Proceedings of the Python in Science Conferences. 259–264.

Miller, Eric J., et al.. (2022). Variational Autoencoders For Semi-Supervised Deep Metric Learning. Proceedings of the Python in Science Conferences. 231–239. 1 indexed citations

Mattson, Rachel, et al.. (2021). Classification of Diffuse Subcellular Morphologies. Proceedings of the Python in Science Conferences. 115–122. 1 indexed citations

Zhou, Yi, Shannon Quinn, Melissa B. Davis, et al.. (2021). Are we there yet? A machine learning architecture to predict organotropic metastases. BMC Medical Genomics. 14(1). 281–281. 1 indexed citations

Vella, Stephen A., et al.. (2021). Ca²⁺ entry at the plasma membrane and uptake by acidic stores is regulated by the activity of the V‐H⁺‐ATPase in Toxoplasma gondii. Molecular Microbiology. 115(5). 1054–1068. 10 indexed citations

Li, Chenxiao, et al.. (2020). Towards an Unsupervised Spatiotemporal Representation of Cilia Video Using A Modular Generative Pipeline. Proceedings of the Python in Science Conferences. 166–175. 3 indexed citations

Mattson, Rachel, et al.. (2020). Spectral Analysis of Mitochondrial Dynamics: A Graph-Theoretic Approach to Understanding Subcellular Pathology. Proceedings of the Python in Science Conferences. 91–97. 2 indexed citations

Dunning, Ted, et al.. (2020). Apache Mahout: Machine Learning on Distributed Dataflow Systems. Journal of Machine Learning Research. 21(127). 1–6. 17 indexed citations

10.

Makkie, Milad, Xiang Li, Shannon Quinn, et al.. (2018). A Distributed Computing Platform for fMRI Big Data Analytics. IEEE Transactions on Big Data. 5(2). 109–119. 13 indexed citations

11.

Rada, Balázs, et al.. (2018). Generative spatiotemporal modeling of neutrophil behavior. abs 1706 8033. 969–972. 2 indexed citations

12.

Zhao, Yu, Xiang Li, Milad Makkie, et al.. (2017). Template-guided Functional Network Identification via Supervised Dictionary Learning. 72–76. 1 indexed citations

13.

Miller, John A., et al.. (2016). Open Source Big Data Analytics Frameworks Written in Scala. 10. 389–393. 7 indexed citations

14.

Breen, Patrick J., Jane Kelly, Timothy G. Heckman, & Shannon Quinn. (2016). Mining Pre-Exposure Prophylaxis Trends in Social Media. 214–221. 8 indexed citations

15.

Li, Xiang, Milad Makkie, Binbin Lin, et al.. (2016). Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis. 511–519. 10 indexed citations

16.

Ramanathan, Arvind, et al.. (2015). Discovering Multi-Scale Co-Occurrence Patterns of Asthma and Influenza with Oak Ridge Bio-Surveillance Toolkit. Frontiers in Public Health. 3. 182–182. 3 indexed citations

17.

Quinn, Shannon, et al.. (2015). Automated identification of abnormal respiratory ciliary motion in nasal biopsies. Science Translational Medicine. 7(299). 299ra124–299ra124. 30 indexed citations

18.

Ramanathan, Arvind, et al.. (2013). Statistical Inference for Big Data Problems in Molecular Biophysics. 1 indexed citations

19.

Quinn, Shannon, Richard Francis, Cecilia Lo, & Chakra Chennubhotla. (2011). Novel use of differential image velocity invariants to categorize ciliary motion defects. 1–4. 3 indexed citations

20.

Shariff, Aabid, Joshua Kangas, Luís Pedro Coelho, Shannon Quinn, & Robert F. Murphy. (2010). Automated Image Analysis for High-Content Screening and Analysis. SLAS DISCOVERY. 15(7). 726–734. 96 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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