Jean E. Patterson

844 total citations
26 papers, 717 citations indexed

About

Jean E. Patterson is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Pharmacology. According to data from OpenAlex, Jean E. Patterson has authored 26 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atomic and Molecular Physics, and Optics, 12 papers in Electrical and Electronic Engineering and 7 papers in Pharmacology. Recurrent topics in Jean E. Patterson's work include Electromagnetic Scattering and Analysis (15 papers), Electromagnetic Simulation and Numerical Methods (12 papers) and Cannabis and Cannabinoid Research (7 papers). Jean E. Patterson is often cited by papers focused on Electromagnetic Scattering and Analysis (15 papers), Electromagnetic Simulation and Numerical Methods (12 papers) and Cannabis and Cannabinoid Research (7 papers). Jean E. Patterson collaborates with scholars based in United States and Canada. Jean E. Patterson's co-authors include Dale L. Boger, Benjamin F. Cravatt, Matthew P. Patricelli, Richard A. Lerner, David M. Geller, Qing Jin, Xiaojun Guan, Norton B. Gilula, Chi Huey Wong and Ian R. Ollmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Biochemistry.

In The Last Decade

Jean E. Patterson

20 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean E. Patterson United States 11 385 243 135 115 105 26 717
Mark Seierstad United States 17 317 0.8× 305 1.3× 172 1.3× 80 0.7× 56 0.5× 30 914
Pamela E. Mason United States 13 88 0.2× 444 1.8× 91 0.7× 122 1.1× 43 0.4× 20 945
Riku Niemi Finland 13 371 1.0× 173 0.7× 174 1.3× 105 0.9× 36 0.3× 23 702
Michael Dabrowski United Kingdom 18 53 0.1× 357 1.5× 121 0.9× 129 1.1× 192 1.8× 32 734
Annarina Ambrosini Italy 15 164 0.4× 184 0.8× 30 0.2× 27 0.2× 39 0.4× 25 443
Mitesh Sanghvi United States 18 249 0.6× 366 1.5× 159 1.2× 55 0.5× 36 0.3× 29 994
Hiroshi Miyauchi Japan 12 462 1.2× 218 0.9× 173 1.3× 142 1.2× 90 0.9× 22 812
Judy A. Esgate United States 9 39 0.1× 378 1.6× 73 0.5× 77 0.7× 62 0.6× 9 607
Barry J.R. Pitts United States 20 64 0.2× 1.0k 4.3× 271 2.0× 85 0.7× 87 0.8× 31 1.4k
Rosanna Matucci Italy 19 101 0.3× 567 2.3× 241 1.8× 27 0.2× 88 0.8× 81 1.1k

Countries citing papers authored by Jean E. Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Jean E. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean E. Patterson. 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 Jean E. Patterson. The network helps show where Jean E. Patterson may publish in the future.

Co-authorship network of co-authors of Jean E. Patterson

This figure shows the co-authorship network connecting the top 25 collaborators of Jean E. Patterson. A scholar is included among the top collaborators of Jean E. Patterson 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 Jean E. Patterson. Jean E. Patterson 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.
Ferraro, R., T. Cwik, N. Jacobi, et al.. (2005). Parallel Finite Elements Applied to the Electromagnetic Scattering Problem. 417–420.
2.
Cwik, T., Jean E. Patterson, & Thomas Lockhart. (2003). Constructing matrix Green's functions for radiation and scattering problems. 586–589. 2 indexed citations
3.
Fokas, Demosthenes, et al.. (2003). Access to the noryohimban [6,5,6,5,6] ring system via an intramolecular furan Diels–Alder reaction. Tetrahedron Letters. 44(27). 5137–5140. 13 indexed citations
4.
Cwik, T., Jean E. Patterson, & D. Scott. (2003). Electromagnetic scattering calculations on the Intel Touchstone Delta. 538–542.
5.
Liewer, Paulett C., et al.. (2003). Application of the hypercube parallel processor to a large-scale moment method code. 128. 12/1–12/9.
6.
Boger, Dale L., Robert Fecik, Jean E. Patterson, et al.. (2000). Fatty acid amide hydrolase substrate specificity. Bioorganic & Medicinal Chemistry Letters. 10(23). 2613–2616. 84 indexed citations
7.
Boger, Dale L., et al.. (1999). Trifluoromethyl ketone inhibitors of fatty acid amide hydrolase: A probe of structural and conformational features contributing to inhibition. Bioorganic & Medicinal Chemistry Letters. 9(2). 265–270. 96 indexed citations
8.
Baumgart, Megan, Dale L. Boger, Mitchell A. deLong, et al.. (1999). N-Acylglycine Amidation:  Implications for the Biosynthesis of Fatty Acid Primary Amides. Biochemistry. 38(11). 3235–3245. 49 indexed citations
9.
Patricelli, Matthew P., Jean E. Patterson, Dale L. Boger, & Benjamin F. Cravatt. (1998). An endogenous sleep-inducing compound is a novel competitive inhibitor of fatty acid amide hydrolase. Bioorganic & Medicinal Chemistry Letters. 8(6). 613–618. 54 indexed citations
10.
Boger, Dale L., Jean E. Patterson, & Qing Jin. (1998). Structural requirements for 5-HT 2A and 5-HT 1A serotonin receptor potentiation by the biologically active lipid oleamide. Proceedings of the National Academy of Sciences. 95(8). 4102–4107. 81 indexed citations
11.
Patterson, Jean E., Ian R. Ollmann, Benjamin F. Cravatt, et al.. (1996). Inhibition of Oleamide Hydrolase Catalyzed Hydrolysis of the Endogenous Sleep-Inducing Lipid cis-9-Octadecenamide. Journal of the American Chemical Society. 118(25). 5938–5945. 105 indexed citations
12.
Patterson, Jean E., et al.. (1991). Large-Scale Retrieval of Atmospheric Parameters from Remote Sounding Data. OME4–OME4. 1 indexed citations
13.
Cwik, T., et al.. (1991). Method of moment solutions to scattering problems in a parallel processing environment. IEEE Transactions on Magnetics. 27(5). 3837–3840. 10 indexed citations
14.
Ferraro, R., T. Cwik, N. Jacobi, et al.. (1990). Parallel finite elements applied to 3D electromagnetic scattering problems. 1360–1363 vol.4.
15.
Patterson, Jean E., R. Ferraro, N. Jacobi, et al.. (1990). Parallel Computation Applied to Electromagnetic Scattering and Radiation Analysis. Electromagnetics. 10(1-2). 21–39. 10 indexed citations
16.
Cwik, T., William A. Imbriale, N. Jacobi, et al.. (1989). Hypercube parallel architecture applied to electromagnetic scattering analysis. IEEE Transactions on Magnetics. 25(4). 2898–2900. 2 indexed citations
17.
Lockhart, Thomas, G. A. Lyzenga, Jay Parker, et al.. (1989). Concurrent electromagnetic scattering analysis. 1 indexed citations
18.
Imbriale, William A., N. Jacobi, P. C. Liewer, et al.. (1988). Hypercube matrix computation task. Report, 1986-1988. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
19.
20.
Imbriale, William A., et al.. (1987). Hypercube matrix computation task. Final report, 1986-1987. 2 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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