Jessica Plescia
Impact in
-
- Computational Drug Discovery Methods
-
- Organoboron and organosilicon chemistry
- Catalytic C–H Functionalization Methods
- Click Chemistry and Applications
- Synthesis and biological activity
Papers in
-
- Chemical Synthesis and Analysis 2
- Protein Degradation and Inhibitors 1
- Protein purification and stability 1
- Biochemical and Molecular Research 1
-
- Neuropeptides and Animal Physiology 3
- Co-authors
- Nicolas Moitessier (8 shared papers)Anthony Mittermaier (5 shared papers)Justin M. Di Trani (2 shared papers)Stéphane De Cesco (2 shared papers)Alexander S. Wahba (3 shared papers)Anne Labarre (2 shared papers)Caroline Dufresne (3 shared papers)Christopher Hennecker (1 shared paper)
- Journals
- European Journal of Medicinal Chemistry (5 papers)Nature Communications (1 paper)Journal of Medicinal Chemistry (1 paper)SHILAP Revista de lepidopterología (1 paper)
In The Last Decade
Jessica Plescia
8 papers receiving 298 citations
Peers
Comparison fields: 5 of 61
- Computational Theory and Mathematics 82
- Organic Chemistry 142
- Infectious Diseases 54
- Physical and Theoretical Chemistry 21
- Filtration and Separation 4
Countries citing papers authored by Jessica Plescia
This map shows the geographic impact of Jessica Plescia'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 Jessica Plescia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica Plescia more than expected).
Fields of papers citing papers by Jessica Plescia
This network shows the impact of papers produced by Jessica Plescia. 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 Jessica Plescia. The network helps show where Jessica Plescia may publish in the future.
Co-authors
The 18 scholars most cited alongside Jessica Plescia, 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 | 145 | |
| 2 | 2021 | 62 | |
| 3 | 2018 | 45 | |
| 4 | 2020 | 22 | |
| 5 | 2019 | 13 | |
| 6 | 2019 | 11 | |
| 7 | 2022 | 4 | |
| 8 | 2019 | 1 |
About Jessica Plescia
Jessica Plescia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Computational Theory and Mathematics and Organic Chemistry, having authored 8 papers that have together received 303 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Neuropeptides and Animal Physiology (3 papers), Peptidase Inhibition and Analysis (3 papers), Chemical Synthesis and Analysis (2 papers), Synthetic Organic Chemistry Methods (1 paper), Protein Degradation and Inhibitors (1 paper), Protein purification and stability (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (82 citations), Organic Chemistry (142 citations), Infectious Diseases (54 citations), Physical and Theoretical Chemistry (21 citations) and Filtration and Separation (4 citations). Jessica Plescia has collaborated with scholars based in Canada and Brazil. Frequent co-authors include Nicolas Moitessier, Anthony Mittermaier, Justin M. Di Trani, Stéphane De Cesco, Alexander S. Wahba, Anne Labarre, Caroline Dufresne, Christopher Hennecker, Kevin M. McBride and Xiaocong Zhang. Their work appears in journals such as European Journal of Medicinal Chemistry, Nature Communications, Journal of Medicinal Chemistry and SHILAP Revista de lepidopterología.
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.