Prashi Jain
Impact in
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- Catalytic C–H Functionalization Methods
- Asymmetric Synthesis and Catalysis
- Synthesis and Catalytic Reactions
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- Chemical Synthesis and Analysis
- Receptor Mechanisms and Signaling
- Protein Degradation and Inhibitors
Papers in
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- Chemical Synthesis and Analysis 5
- Protein Degradation and Inhibitors 3
- Melanoma and MAPK Pathways 3
- Ubiquitin and proteasome pathways 2
- Receptor Mechanisms and Signaling 2
- Co-authors
- Conrad Santini (7 shared papers)Patrick T. Flaherty (8 shared papers)Kevin R. MacKenzie (5 shared papers)Damian W. Young (5 shared papers)Sarvesh Kumar (1 shared paper)Paul D. Thornton (1 shared paper)Justin T. Douglas (1 shared paper)Martin M. Matzuk (2 shared papers)
- Journals
- The Journal of Organic Chemistry (3 papers)ACS Combinatorial Science (2 papers)Bioorganic & Medicinal Chemistry (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Prashi Jain
22 papers receiving 345 citations
Peers
Comparison fields: 5 of 64
- Organic Chemistry 127
- Molecular Biology 176
- Oncology 48
- Computational Theory and Mathematics 26
- Immunology 29
Countries citing papers authored by Prashi Jain
This map shows the geographic impact of Prashi Jain'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 Prashi Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashi Jain more than expected).
Fields of papers citing papers by Prashi Jain
This network shows the impact of papers produced by Prashi Jain. 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 Prashi Jain. The network helps show where Prashi Jain may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashi Jain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 39 | |
| 2 | 2018 | 29 | |
| 3 | 2015 | 28 | |
| 4 | 2020 | 27 | |
| 5 | 2021 | 27 | |
| 6 | 2015 | 26 | |
| 7 | 2023 | 22 | |
| 8 | 2013 | 20 | |
| 9 | 2010 | 19 | |
| 10 | 2021 | 17 | |
| 11 | 2018 | 17 | |
| 12 | 2012 | 16 | |
| 13 | 2021 | 13 | |
| 14 | 2010 | 13 | |
| 15 | 2019 | 10 | |
| 16 | 2020 | 6 | |
| 17 | 2013 | 5 | |
| 18 | 2010 | 5 | |
| 19 | 2008 | 4 | |
| 20 | 2024 | 3 |
About Prashi Jain
Prashi Jain is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Oncology and Computational Theory and Mathematics, having authored 22 papers that have together received 348 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (5 papers), Protein Degradation and Inhibitors (3 papers), Melanoma and MAPK Pathways (3 papers), Ubiquitin and proteasome pathways (2 papers), T-cell and B-cell Immunology (2 papers), HIV/AIDS drug development and treatment (2 papers), Computational Drug Discovery Methods (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Organic Chemistry (127 citations), Molecular Biology (176 citations), Oncology (48 citations), Computational Theory and Mathematics (26 citations) and Immunology (29 citations). Prashi Jain has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Conrad Santini, Patrick T. Flaherty, Kevin R. MacKenzie, Damian W. Young, Sarvesh Kumar, Paul D. Thornton, Justin T. Douglas, Martin M. Matzuk, David M. Lonard and Ishveen Chopra. Their work appears in journals such as The Journal of Organic Chemistry, ACS Combinatorial Science, Bioorganic & Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters and Scientific Reports.
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.