Jean E. Copper
Impact in
- Organic Chemistry top 10%
- Synthesis and Biological Evaluation
- Radical Photochemical Reactions
- Catalytic C–H Functionalization Methods
- Synthetic Organic Chemistry Methods
- Biophysics top 10%
Papers in
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- Cancer therapeutics and mechanisms 2
- Chemical Synthesis and Analysis 1
- Ubiquitin and proteasome pathways 1
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- Synthesis and Biological Evaluation 2
- Co-authors
- Charles D. Smith (2 shared papers)David S. Lawrence (1 shared paper)Darin P. Clark (5 shared papers)Damian B. van Rossum (5 shared papers)Keith C. Cheng (7 shared papers)Charles D. Smith (3 shared papers)Daniel J. Vanselow (5 shared papers)David Mandrell (3 shared papers)
- Journals
- Tetrahedron (2 papers)Journal of Medicinal Chemistry (2 papers)Journal of Visualized Experiments (2 papers)Journal of Natural Products (1 paper)Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Jean E. Copper
12 papers receiving 426 citations
Peers
Comparison fields: 5 of 86
- Organic Chemistry 206
- Biophysics 28
- Biotechnology 37
- Pharmaceutical Science 22
- Pharmacology 52
Countries citing papers authored by Jean E. Copper
This map shows the geographic impact of Jean E. Copper'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. Copper 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. Copper more than expected).
Fields of papers citing papers by Jean E. Copper
This network shows the impact of papers produced by Jean E. Copper. 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. Copper. The network helps show where Jean E. Copper may publish in the future.
Co-authors
The 25 scholars most cited alongside Jean E. Copper, 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 | 2000 | 158 | |
| 2 | 2019 | 74 | |
| 3 | 2017 | 67 | |
| 4 | 2004 | 32 | |
| 5 | 2007 | 27 | |
| 6 | 2008 | 25 | |
| 7 | 2004 | 20 | |
| 8 | 2007 | 15 | |
| 9 | 2018 | 10 | |
| 10 | 2018 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2017 | 0 |
About Jean E. Copper
Jean E. Copper is a scholar working on Molecular Biology, Organic Chemistry, Biophysics, Cell Biology and Pharmacology, having authored 13 papers that have together received 435 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Zebrafish Biomedical Research Applications (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Cancer therapeutics and mechanisms (2 papers), Synthesis and Biological Evaluation (2 papers), Advanced X-ray Imaging Techniques (2 papers), Chemical Synthesis and Analysis (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Organic Chemistry (206 citations), Biophysics (28 citations), Biotechnology (37 citations), Pharmaceutical Science (22 citations) and Pharmacology (52 citations). Jean E. Copper has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Charles D. Smith, David S. Lawrence, Darin P. Clark, Damian B. van Rossum, Keith C. Cheng, Charles D. Smith, Daniel J. Vanselow, David Mandrell, Angela Zampella and Maria Valeria D’Auria. Their work appears in journals such as Tetrahedron, Journal of Medicinal Chemistry, Journal of Visualized Experiments, Journal of Natural Products and Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology.
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.