Gary E. Aspnes
Impact in
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- Cell Adhesion Molecules Research
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- Catalytic C–H Functionalization Methods
- Synthesis and Catalytic Reactions
Papers in
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- Receptor Mechanisms and Signaling 4
- Melanoma and MAPK Pathways 2
- RNA and protein synthesis mechanisms 2
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- Diabetes Treatment and Management 4
- Co-authors
- Liuqing Wei (4 shared papers)Nathan E. Genung (1 shared paper)Leonard Buckbinder (2 shared papers)Daniel P. Walker (3 shared papers)Benjamin D. Stevens (3 shared papers)Angel Guzmán-Pérez (5 shared papers)Jeanne S. Chang (1 shared paper)Boris A. Chrunyk (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (8 papers)Tetrahedron Letters (1 paper)Organic Letters (1 paper)Journal of Biological Chemistry (1 paper)Synthesis (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Gary E. Aspnes
16 papers receiving 359 citations
Peers
Comparison fields: 5 of 63
- Immunology and Allergy 35
- Organic Chemistry 134
- Endocrinology, Diabetes and Metabolism 62
- Molecular Biology 186
- Cellular and Molecular Neuroscience 47
Countries citing papers authored by Gary E. Aspnes
This map shows the geographic impact of Gary E. Aspnes'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 Gary E. Aspnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary E. Aspnes more than expected).
Fields of papers citing papers by Gary E. Aspnes
This network shows the impact of papers produced by Gary E. Aspnes. 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 Gary E. Aspnes. The network helps show where Gary E. Aspnes may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary E. Aspnes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 94 | |
| 2 | 2009 | 86 | |
| 3 | 2014 | 66 | |
| 4 | 2013 | 35 | |
| 5 | 2012 | 21 | |
| 6 | 2014 | 16 | |
| 7 | 2011 | 12 | |
| 8 | 2018 | 10 | |
| 9 | 2009 | 6 | |
| 10 | 2018 | 6 | |
| 11 | 2008 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2021 | 2 | |
| 14 | 2012 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 1 |
About Gary E. Aspnes
Gary E. Aspnes is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Organic Chemistry, Surgery and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 367 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Diabetes Treatment and Management (4 papers), Quinazolinone synthesis and applications (2 papers), Melanoma and MAPK Pathways (2 papers), Neuropeptides and Animal Physiology (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Lipid metabolism and biosynthesis (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Immunology and Allergy (35 citations), Organic Chemistry (134 citations), Endocrinology, Diabetes and Metabolism (62 citations), Molecular Biology (186 citations) and Cellular and Molecular Neuroscience (47 citations). Gary E. Aspnes has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Liuqing Wei, Nathan E. Genung, Leonard Buckbinder, Daniel P. Walker, Benjamin D. Stevens, Angel Guzmán-Pérez, Jeanne S. Chang, Boris A. Chrunyk, Chris Limberakis and Peter C. Bonnette. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Organic Letters, Journal of Biological Chemistry and Synthesis.
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.