John J. Court
- Organic Chemistry top 10%
- Synthesis and biological activity 5
- Asymmetric Synthesis and Catalysis 3
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- Hepatitis C virus research 3
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- HIV Research and Treatment 2
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- HIV/AIDS drug development and treatment 4
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- Protein Kinase Regulation and GTPase Signaling 4
- Melanoma and MAPK Pathways 3
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- Cytokine Signaling Pathways and Interactions 4
- Co-authors
- Dennis J. HlastaArthur G. SchultzRanjit C. DesaiJeremy GreenMalcolm R. BellHuai GaoUpul K. BandarageChakrapani Subramanyam
- Cited by
- Organic ChemistryHepatologyVirology
- Journals
- Bioorganic & Medicinal Chemistry Letters (9 papers)Tetrahedron Letters (3 papers)Journal of Medicinal Chemistry (3 papers)
- Partner nations
- United States
In The Last Decade
John J. Court
20 papers receiving 404 citations
Peers
Comparison fields: 5 of 62
- Organic Chemistry 298
- Hepatology 31
- Virology 16
- Inorganic Chemistry 35
- Infectious Diseases 45
Countries citing papers authored by John J. Court
This map shows the geographic impact of John J. Court'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 John J. Court with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Court more than expected).
Fields of papers citing papers by John J. Court
This network shows the impact of papers produced by John J. Court. 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 John J. Court. The network helps show where John J. Court may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John J. Court, 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 | 2020 | 10 | |
| 2 | 2018 | 25 | |
| 3 | 2017 | 9 | |
| 4 | 2015 | 44 | |
| 5 | 2005 | 3 | |
| 6 | 2004 | 41 | |
| 7 | 1998 | 15 | |
| 8 | 1998 | 35 | |
| 9 | 1997 | 4 | |
| 10 | 1996 | 4 | |
| 11 | 1996 | 30 | |
| 12 | 1995 | 13 | |
| 13 | 1995 | 25 | |
| 14 | 1995 | 8 | |
| 15 | 1995 | 2 | |
| 16 | 1994 | 28 | |
| 17 | 1994 | 31 | |
| 18 | 1991 | 16 | |
| 19 | 1989 | 28 | |
| 20 | 1987 | 59 |
About John J. Court
John J. Court is a scholar working on Organic Chemistry, Virology and Hepatology, having authored 20 papers that have together received 430 indexed citations. Recurring topics across this work include Synthesis and biological activity (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), HIV/AIDS drug development and treatment (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Asymmetric Synthesis and Catalysis (3 papers), Melanoma and MAPK Pathways (3 papers), Hepatitis C virus research (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Organic Chemistry (298 citations), Hepatology (31 citations) and Virology (16 citations). John J. Court has collaborated with scholars based in United States. Frequent co-authors include Dennis J. Hlasta, Arthur G. Schultz, Ranjit C. Desai, Jeremy Green, Malcolm R. Bell, Huai Gao, Upul K. Bandarage, Chakrapani Subramanyam, B. Govinda Rao and David D. Deininger. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters and Journal of the American Chemical Society.
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.