Edwin J. Schweiger

1.2k total citations
14 papers, 1.0k citations indexed

About

Edwin J. Schweiger is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Edwin J. Schweiger has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Organic Chemistry and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Edwin J. Schweiger's work include Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (3 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). Edwin J. Schweiger is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (3 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). Edwin J. Schweiger collaborates with scholars based in United States, Sweden and Italy. Edwin J. Schweiger's co-authors include Guido Zuccarello, K.C. Nicolaou, Toshihiro Kumazawa, Lida Tehrani, Nicholas D. P. Cosford, Jeffrey Roppe, Sara Rao, Mark A. Varney, Jesse Brodkin and Xiaohui Jiang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Edwin J. Schweiger

14 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edwin J. Schweiger United States 12 571 438 391 97 43 14 1.0k
Todd W. Butler United States 15 610 1.1× 476 1.1× 348 0.9× 120 1.2× 37 0.9× 23 1.1k
Kevin J. Merchant United States 18 509 0.9× 599 1.4× 454 1.2× 48 0.5× 54 1.3× 30 1.3k
Henning Böttcher Germany 16 452 0.8× 414 0.9× 259 0.7× 99 1.0× 30 0.7× 27 947
Jan W. F. Wasley Switzerland 17 455 0.8× 483 1.1× 264 0.7× 69 0.7× 40 0.9× 39 1.1k
Fabrizio Micheli Italy 21 582 1.0× 645 1.5× 423 1.1× 71 0.7× 25 0.6× 68 1.2k
Eric Vieira Switzerland 18 430 0.8× 825 1.9× 542 1.4× 73 0.8× 47 1.1× 25 1.4k
Leslie J. Street United States 19 866 1.5× 328 0.7× 201 0.5× 76 0.8× 36 0.8× 44 1.2k
Romano Di Fabio Italy 24 900 1.6× 609 1.4× 336 0.9× 132 1.4× 44 1.0× 104 1.7k
Marvin M. Hansen United States 17 623 1.1× 389 0.9× 219 0.6× 63 0.6× 28 0.7× 30 1.0k
Mark T. Goulet United States 26 659 1.2× 710 1.6× 183 0.5× 171 1.8× 44 1.0× 54 1.6k

Countries citing papers authored by Edwin J. Schweiger

Since Specialization
Citations

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

Fields of papers citing papers by Edwin J. Schweiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin J. Schweiger. 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 Edwin J. Schweiger. The network helps show where Edwin J. Schweiger may publish in the future.

Co-authorship network of co-authors of Edwin J. Schweiger

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

All Works

14 of 14 papers shown
1.
Kick, Ellen K., Richard Martin, Yinong Xie, et al.. (2014). Liver X Receptor (LXR) partial agonists: Biaryl pyrazoles and imidazoles displaying a preference for LXRβ. Bioorganic & Medicinal Chemistry Letters. 25(2). 372–377. 33 indexed citations
2.
Clemens, Jeremy J., Juliana L. Asgian, Brett B. Busch, et al.. (2012). Diastereoselective One-Pot Knoevenagel Condensation/Corey–Chaykovsky Cyclopropanation. The Journal of Organic Chemistry. 78(2). 780–785. 12 indexed citations
3.
Chua, Peter, Johnny Nagasawa, Leo Bleicher, et al.. (2005). Cyclohexenyl- and dehydropiperidinyl-alkynyl pyridines as potent metabotropic glutamate subtype 5 (mGlu5) receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 15(20). 4589–4593. 11 indexed citations
4.
Roppe, Jeffrey, Bowei Wang, Dehua Huang, et al.. (2004). 5-[(2-Methyl-1,3-thiazol-4-yl)ethynyl]-2,3′-bipyridine: a highly potent, orally active metabotropic glutamate subtype 5 (mGlu5) receptor antagonist with anxiolytic activity. Bioorganic & Medicinal Chemistry Letters. 14(15). 3993–3996. 41 indexed citations
5.
Cosford, Nicholas D. P., Jeffrey Roppe, Lida Tehrani, et al.. (2003). [3H]-Methoxymethyl-MTEP and [3H]-Methoxy-PEPy: potent and selective radioligands for the metabotropic glutamate subtype 5 (mGlu5) receptor. Bioorganic & Medicinal Chemistry Letters. 13(3). 351–354. 123 indexed citations
6.
Cosford, Nicholas D. P., Lida Tehrani, Jeffrey Roppe, et al.. (2002). 3-[(2-Methyl-1,3-thiazol-4-yl)ethynyl]- pyridine:  A Potent and Highly Selective Metabotropic Glutamate Subtype 5 Receptor Antagonist with Anxiolytic Activity. Journal of Medicinal Chemistry. 46(2). 204–206. 348 indexed citations
7.
Smith, Amos B., Andrew B. Benowitz, Paul A. Sprengeler, et al.. (1999). Design and Synthesis of a Competent Pyrrolinone−Peptide Hybrid Ligand for the Class II Major Histocompatibility Complex Protein HLA-DR1. Journal of the American Chemical Society. 121(40). 9286–9298. 37 indexed citations
8.
Smith, Amos B., Andrew B. Benowitz, Mark C. Guzman, et al.. (1998). Design, Synthesis, and Evaluation of a Pyrrolinone−Peptide Hybrid Ligand for the Class II MHC Protein HLA-DR1. Journal of the American Chemical Society. 120(48). 12704–12705. 18 indexed citations
9.
Schweiger, Edwin J., Madeleine M. Joullié, & Paul B. Weisz. (1997). Synthesis of a C, D Ring Analog of 17-α-Hydroxyprogesterone. Tetrahedron Letters. 38(35). 6127–6130. 8 indexed citations
10.
Bachman, Eric, et al.. (1992). Chemical and pharmacological characterization of galanthamine, an acetylcholinesterase inhibitor, and its derivatives. A potential application in Alzheimer's disease?. European Journal of Medicinal Chemistry. 27(7). 673–687. 77 indexed citations
11.
Han, So‐Yeop, et al.. (1991). Synthesis and biological activity of galanthamine derivatives as acetylcholinesterase (AChE) inhibitors. Bioorganic & Medicinal Chemistry Letters. 1(11). 579–580. 10 indexed citations
12.
Nicolaou, K. C., Peter E. Maligres, Guido Zuccarello, et al.. (1989). A New Class of DNA‐Cleaving Molecules: pH‐Dependent DNA Cleavage by Propargylic and Allenic Sulfones. Angewandte Chemie International Edition in English. 28(9). 1272–1275. 67 indexed citations
13.
Nicolaou, K. C., Peter E. Maligres, Guido Zuccarello, et al.. (1989). Eine neue Klasse DNA‐spaltender Verbindungen: pH‐abhängige DNA‐Spaltung durch Propargyl‐ und Allenylsulfone. Angewandte Chemie. 101(9). 1255–1257. 21 indexed citations
14.
Nicolaou, K.C., et al.. (1988). Cyclic conjugated enediynes related to calicheamicins and esperamicins: calculations, synthesis, and properties. Journal of the American Chemical Society. 110(14). 4866–4868. 241 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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