Shawn Levy

49.7k total citations · 7 hit papers
133 papers, 11.7k citations indexed

About

Shawn Levy is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Shawn Levy has authored 133 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 29 papers in Genetics and 22 papers in Surgery. Recurrent topics in Shawn Levy's work include Genetic Associations and Epidemiology (11 papers), Pancreatic function and diabetes (11 papers) and Genomics and Rare Diseases (10 papers). Shawn Levy is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Pancreatic function and diabetes (11 papers) and Genomics and Rare Diseases (10 papers). Shawn Levy collaborates with scholars based in United States, China and France. Shawn Levy's co-authors include R Myers, Nripesh Prasad, Douglas C. Wallace, Bin Xu, Robert J. Coffey, Joseph A. Gogos, Johannes L. Roos, Braden Boone, Grant R. MacGregor and Katrina G. Waymire and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

Shawn Levy

131 papers receiving 11.5k citations

Hit Papers

The ADP/ATP translocator is not essential for the mitocho... 2004 2026 2011 2018 2004 2004 2008 2009 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shawn Levy United States 52 6.6k 2.6k 1.8k 1.6k 1.2k 133 11.7k
Shrikant Mane United States 41 6.5k 1.0× 2.8k 1.1× 1.8k 1.0× 1.2k 0.7× 994 0.8× 100 12.5k
Peter J. van der Spek Netherlands 55 7.0k 1.1× 1.4k 0.5× 1.8k 1.0× 1.3k 0.8× 989 0.8× 252 12.6k
Yusuke Nakamura Japan 64 8.0k 1.2× 1.7k 0.7× 1.9k 1.0× 2.5k 1.5× 926 0.8× 216 12.8k
Norbert Gretz Germany 54 6.1k 0.9× 1.8k 0.7× 2.8k 1.5× 725 0.5× 960 0.8× 246 11.8k
Zhongming Zhao United States 63 9.1k 1.4× 3.1k 1.2× 3.1k 1.7× 1.3k 0.8× 586 0.5× 535 15.1k
Glynn Dennis United States 12 7.5k 1.1× 1.6k 0.6× 2.0k 1.1× 1.1k 0.7× 632 0.5× 13 12.3k
Douglas A Hosack United States 9 7.5k 1.1× 1.6k 0.6× 2.0k 1.1× 994 0.6× 625 0.5× 10 11.7k
Norma Neff United States 48 9.1k 1.4× 1.5k 0.6× 1.9k 1.0× 1.3k 0.8× 906 0.7× 92 13.4k
W. Evan Johnson United States 35 8.9k 1.4× 1.8k 0.7× 2.5k 1.3× 1.4k 0.9× 631 0.5× 126 14.6k
Jing Chen China 51 6.9k 1.0× 1.0k 0.4× 2.2k 1.2× 1.0k 0.6× 1.1k 0.9× 387 12.0k

Countries citing papers authored by Shawn Levy

Since Specialization
Citations

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

Fields of papers citing papers by Shawn Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawn Levy

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn Levy. A scholar is included among the top collaborators of Shawn Levy 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 Shawn Levy. Shawn Levy 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.
Mahmoud, Medhat, Yongqing Huang, Kiran Garimella, et al.. (2024). Utility of long-read sequencing for All of Us. Nature Communications. 15(1). 837–837. 43 indexed citations
2.
Green, Stefan J., Tamás Török, Jonathan Allen, et al.. (2023). Metagenomic Methods for Addressing NASA's Planetary Protection Policy Requirements on Future Missions: A Workshop Report. Astrobiology. 23(8). 897–907. 2 indexed citations
3.
Shneider, Neil A., Mengyuan Lyu, Wassim Elyaman, et al.. (2023). Immunotherapy: ADOPTIVE THERAPY WITH OFF THE SHELF, ALLOGENEIC, UMBILICAL CORD BLOOD, REGULATORY T CELLS SHOW SAFETY IN AMYOTROPHIC LATERAL SCLEROSIS. Cytotherapy. 25(6). S33–S34. 1 indexed citations
4.
Agarwal, Payal, et al.. (2021). Identification of canine circulating miRNAs as tumor biospecific markers using Next-Generation Sequencing and Q-RT-PCR. Biochemistry and Biophysics Reports. 28. 101106–101106. 10 indexed citations
5.
Dou, Yongchao, Jean‐Sébastien Diana, Jeffrey L. Franklin, et al.. (2016). Circular RNAs are down-regulated in KRAS mutant colon cancer cells and can be transferred to exosomes. Scientific Reports. 6(1). 37982–37982. 276 indexed citations
6.
Ning, Matthew S., et al.. (2014). Characterization of the Merkel Cell Carcinoma miRNome. Journal of Skin Cancer. 2014. 1–9. 31 indexed citations
7.
Pekow, Joel, Urszula Dougherty, Yong Huang, et al.. (2013). Gene Signature Distinguishes Patients with Chronic Ulcerative Colitis Harboring Remote Neoplastic Lesions. Inflammatory Bowel Diseases. 19(3). 461–470. 39 indexed citations
8.
Arrington, Cammon B., Steven B. Bleyl, Norisada Matsunami, et al.. (2012). Exome Analysis of a Family With Pleiotropic Congenital Heart Disease. Circulation Cardiovascular Genetics. 5(2). 175–182. 48 indexed citations
9.
Su, Yingjun, Anna E. Vilgelm, Mark C. Kelley, et al.. (2012). RAF265 Inhibits the Growth of Advanced Human Melanoma Tumors. Clinical Cancer Research. 18(8). 2184–2198. 47 indexed citations
10.
Beane, Jennifer, Jessica Vick, Frank Schembri, et al.. (2011). Characterizing the Impact of Smoking and Lung Cancer on the Airway Transcriptome Using RNA-Seq. Cancer Prevention Research. 4(6). 803–817. 115 indexed citations
11.
Motsinger‐Reif, Alison A., Paulo R. Z. Antas, Noffisat O. Oki, et al.. (2010). Polymorphisms in IL-1β, vitamin D receptor Fok1, and Toll-like receptor 2 are associated with extrapulmonary tuberculosis. BMC Medical Genetics. 11(1). 37–37. 54 indexed citations
12.
Li, Jian, Tie‐Lin Yang, Liang Wang, et al.. (2009). Whole Genome Distribution and Ethnic Differentiation of Copy Number Variation in Caucasian and Asian Populations. PLoS ONE. 4(11). e7958–e7958. 46 indexed citations
13.
Moor, Marleen H. M. de, Yong‐Jun Liu, Dorret I. Boomsma, et al.. (2009). Genome-Wide Association Study of Exercise Behavior in Dutch and American Adults. Medicine & Science in Sports & Exercise. 41(10). 1887–1895. 84 indexed citations
14.
Smith, J. Joshua, Christian Kis, Carl Schmidt, et al.. (2008). Oncogenic Ras and Transforming Growth Factor-β Synergistically Regulate AU-Rich Element–Containing mRNAs during Epithelial to Mesenchymal Transition. Molecular Cancer Research. 6(7). 1124–1136. 28 indexed citations
15.
Liu, Yong‐Jun, Xiaogang Liu, Liang Wang, et al.. (2008). Genome-wide association scans identified CTNNBL1 as a novel gene for obesity. Human Molecular Genetics. 17(12). 1803–1813. 135 indexed citations
16.
Slebos, Robbert J.C., Yajun Yi, Kim Ely, et al.. (2006). Gene Expression Differences Associated with Human Papillomavirus Status in Head and Neck Squamous Cell Carcinoma. Clinical Cancer Research. 12(3). 701–709. 240 indexed citations
17.
18.
Chung, Christine H., Shawn Levy, & Wendell G. Yarbrough. (2005). Clinical applications of genomics in head and neck cancer. Head & Neck. 28(4). 360–368. 11 indexed citations
19.
Park, Young Kyu, Jeffrey L. Franklin, Stephen H. Settle, et al.. (2005). Gene expression profile analysis of mouse colon embryonic development. genesis. 41(1). 1–12. 17 indexed citations
20.
Levy, Shawn, et al.. (1994). Effect of almitrine bismesylate on pulmonary vasoreactivity to hypoxia in chronic obstructive pulmonary disease. European Respiratory Journal. 7(5). 862–868. 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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