Snahel Patel

924 total citations
10 papers, 325 citations indexed

About

Snahel Patel is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Snahel Patel has authored 10 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Snahel Patel's work include interferon and immune responses (2 papers), Cell death mechanisms and regulation (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Snahel Patel is often cited by papers focused on interferon and immune responses (2 papers), Cell death mechanisms and regulation (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Snahel Patel collaborates with scholars based in United States and China. Snahel Patel's co-authors include Natasha M. Kablaoui, Alan C. Cheng, Elisa De La Cruz, Christine Loh, Gauri Deshmukh, Tim Hoey, Kevin Loewke, Jianping Yin, Mohammad A. Mandegar and Mahnaz Maddah and has published in prestigious journals such as Journal of Medicinal Chemistry, Science Translational Medicine and Journal of Leukocyte Biology.

In The Last Decade

Snahel Patel

10 papers receiving 313 citations

Peers

Snahel Patel

IMMUN

ONCOL

CTM

Wilhelmus E. A. de Witte Netherlands

Alessandra Topai Italy

Tam Nguyen Dinh Australia

Antonio Limatola Italy

Nikolaos Lougiakis Greece

Evert Homan Sweden

Amanda Cobos‐Correa Switzerland

Yayoi Nomura Japan

Michael Yeadon United Kingdom

Paul J. Kuipers United States

Wilhelmus E. A. de Witte Netherlands

Snahel Patel

211 ×1.1

45 ×0.5

47 ×0.8

IMMUN

58 ×1.3

ONCOL

56 ×1.4

CTM

Citations per year, relative to Snahel Patel Snahel Patel (= 1×) peers Wilhelmus E. A. de Witte

Countries citing papers authored by Snahel Patel

Since Specialization

Citations

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

Fields of papers citing papers by Snahel Patel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Snahel Patel

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

All Works

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10 of 10 papers shown

Ranjbarvaziri, Sara, Farshad Farshidfar, Jaclyn J. Ho, et al.. (2022). Phenotypic screening with deep learning identifies HDAC6 inhibitors as cardioprotective in a BAG3 mouse model of dilated cardiomyopathy. Science Translational Medicine. 14(652). eabl5654–eabl5654. 25 indexed citations

Ho, Jaclyn J., Sara Ranjbarvaziri, Farshad Farshidfar, et al.. (2021). Deep learning detects cardiotoxicity in a high-content screen with induced pluripotent stem cell-derived cardiomyocytes. eLife. 10. 41 indexed citations

Webster, Joshua D., Youngsu Kwon, Summer Park, et al.. (2020). RIP1 kinase activity is critical for skin inflammation but not for viral propagation. Journal of Leukocyte Biology. 107(6). 941–952. 35 indexed citations

Hamilton, Gregory L., Huifen Chen, Gauri Deshmukh, et al.. (2019). Potent and selective inhibitors of receptor-interacting protein kinase 1 that lack an aromatic back pocket group. Bioorganic & Medicinal Chemistry Letters. 29(12). 1497–1501. 29 indexed citations

Patel, Snahel, William J. Meilandt, Jinhua Chen, et al.. (2017). Selective Inhibitors of Dual Leucine Zipper Kinase (DLK, MAP3K12) with Activity in a Model of Alzheimer’s Disease. Journal of Medicinal Chemistry. 60(19). 8083–8102. 48 indexed citations

Zak, Mark, Po‐wai Yuen, Snahel Patel, et al.. (2016). Minimizing CYP2C9 Inhibition of Exposed-Pyridine NAMPT (Nicotinamide Phosphoribosyltransferase) Inhibitors. Journal of Medicinal Chemistry. 59(18). 8345–8368. 26 indexed citations

Patel, Snahel, Seth F. Harris, Paul Gibbons, et al.. (2015). Scaffold-Hopping and Structure-Based Discovery of Potent, Selective, And Brain Penetrant N -(1 H -Pyrazol-3-yl)pyridin-2-amine Inhibitors of Dual Leucine Zipper Kinase (DLK, MAP3K12). Journal of Medicinal Chemistry. 58(20). 8182–8199. 45 indexed citations

Kablaoui, Natasha M., Snahel Patel, Keith Hoffmaster, et al.. (2012). Novel benzoxazole inhibitors of mPGES-1. Bioorganic & Medicinal Chemistry Letters. 23(3). 907–911. 20 indexed citations

Patel, Snahel, et al.. (2009). Quinazolin-4-piperidin-4-methyl sulfamide PC-1 inhibitors: Alleviating hERG interactions through structure based design. Bioorganic & Medicinal Chemistry Letters. 19(12). 3339–3343. 49 indexed citations

10.

Patel, Snahel, Robin L. Roof, Bradley J. Snyder, et al.. (2008). Identification and SAR around N-{2-[4-(2,3-dihydro-benzo[1,4]dioxin-2-ylmethyl)-[1,4]diazepan-1-yl]-ethyl}-2-phenoxy-nicotinamide, a selective α2C adrenergic receptor antagonist. Bioorganic & Medicinal Chemistry Letters. 18(20). 5689–5693. 7 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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