Jay DaRe
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Organic Chemistry top 5%
- Chemical synthesis and alkaloids
- Organophosphorus compounds synthesis
- Synthesis and biological activity
- Synthesis and Characterization of Heterocyclic Compounds
- Advanced Synthetic Organic Chemistry
- Catalytic Cross-Coupling Reactions
Papers in
-
- Adenosine and Purinergic Signaling 4
-
- Synthesis and biological activity 3
- Synthesis and Characterization of Heterocyclic Compounds 3
- Chemical synthesis and alkaloids 2
- Advanced Synthetic Organic Chemistry 1
- Co-authors
- Mark D. Erion (7 shared papers)Bheemarao G. Ugarkar (6 shared papers)James B. Wiesner (3 shared papers)Paul D. van Poelje (3 shared papers)Bjarne Gabrielsen (2 shared papers)Michael J Phelan (1 shared paper)Grażyna Groszek (1 shared paper)Melinda G. Hollingshead (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (6 papers)Journal of Natural Products (1 paper)Synthesis (1 paper)Neuroscience Letters (1 paper)Nucleosides and Nucleotides (2 papers)
- Partner nations
- United States
In The Last Decade
Jay DaRe
11 papers receiving 730 citations
Peers
Comparison fields: 5 of 57
- Physiology 104
- Organic Chemistry 451
- Drug Discovery 1
- Molecular Biology 177
- Computational Theory and Mathematics 36
Countries citing papers authored by Jay DaRe
This map shows the geographic impact of Jay DaRe'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 Jay DaRe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay DaRe more than expected).
Fields of papers citing papers by Jay DaRe
This network shows the impact of papers produced by Jay DaRe. 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 Jay DaRe. The network helps show where Jay DaRe may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay DaRe, 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 | 1992 | 235 | |
| 2 | 2010 | 152 | |
| 3 | 2000 | 101 | |
| 4 | 2009 | 64 | |
| 5 | 2008 | 62 | |
| 6 | 2000 | 52 | |
| 7 | 1996 | 44 | |
| 8 | 2003 | 38 | |
| 9 | 1997 | 22 | |
| 10 | 1987 | 18 | |
| 11 | 1990 | 5 |
About Jay DaRe
Jay DaRe is a scholar working on Physiology, Organic Chemistry, Endocrinology, Diabetes and Metabolism, Molecular Biology and Neurology, having authored 11 papers that have together received 793 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (4 papers), Adenosine and Purinergic Signaling (4 papers), Synthesis and biological activity (3 papers), Synthesis and Characterization of Heterocyclic Compounds (3 papers), Chemical synthesis and alkaloids (2 papers), Natural Antidiabetic Agents Studies (2 papers), Advanced Synthetic Organic Chemistry (1 paper) and Acute Ischemic Stroke Management (1 paper). The work is most often cited by research in Physiology (104 citations), Organic Chemistry (451 citations), Drug Discovery (1 citation), Molecular Biology (177 citations) and Computational Theory and Mathematics (36 citations). Jay DaRe has collaborated with scholars based in United States. Frequent co-authors include Mark D. Erion, Bheemarao G. Ugarkar, James B. Wiesner, Paul D. van Poelje, Bjarne Gabrielsen, Michael J Phelan, Grażyna Groszek, Melinda G. Hollingshead, William M. Shannon and George R. Pettit. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Natural Products, Synthesis, Neuroscience Letters and Nucleosides and Nucleotides.
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.