Jessica Plescia

406 total citations
8 papers, 303 citations indexed

About

Jessica Plescia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Jessica Plescia has authored 8 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Oncology. Recurrent topics in Jessica Plescia's work include Peptidase Inhibition and Analysis (3 papers), Computational Drug Discovery Methods (3 papers) and Neuropeptides and Animal Physiology (3 papers). Jessica Plescia is often cited by papers focused on Peptidase Inhibition and Analysis (3 papers), Computational Drug Discovery Methods (3 papers) and Neuropeptides and Animal Physiology (3 papers). Jessica Plescia collaborates with scholars based in Canada and Brazil. Jessica Plescia's co-authors include Nicolas Moitessier, Anthony Mittermaier, Justin M. Di Trani, Stéphane De Cesco, Alexander S. Wahba, Anne Labarre, Caroline Dufresne, Kevin M. McBride, Christopher Hennecker and T.M. Schmeing and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Medicinal Chemistry.

In The Last Decade

Jessica Plescia

8 papers receiving 298 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jessica Plescia Canada	6	142	124	82	54	50	8	303
Patrycja Wińska Poland	14	205 1.4×	227 1.8×	77 0.9×	29 0.5×	75 1.5×	45	465
Maria Silvia Paneni Italy	9	210 1.5×	182 1.5×	45 0.5×	55 1.0×	37 0.7×	11	415
Andrew J. McRiner United States	10	236 1.7×	261 2.1×	79 1.0×	62 1.1×	92 1.8×	17	528
Manav Malhotra India	13	305 2.1×	135 1.1×	48 0.6×	19 0.4×	56 1.1×	38	473
Neva Bešker Italy	11	90 0.6×	187 1.5×	49 0.6×	22 0.4×	92 1.8×	15	310
Michael Z. Hoemann United States	10	208 1.5×	152 1.2×	40 0.5×	22 0.4×	54 1.1×	14	367
Bancha Vibulbhan United States	11	119 0.8×	191 1.5×	37 0.5×	56 1.0×	93 1.9×	24	330
Berna Doğan Türkiye	10	112 0.8×	126 1.0×	55 0.7×	14 0.3×	20 0.4×	20	249
Alhumaidi B. Alabbas Saudi Arabia	10	85 0.6×	152 1.2×	73 0.9×	38 0.7×	22 0.4×	33	319
Yudibeth Sixto‐López Mexico	13	158 1.1×	239 1.9×	61 0.7×	40 0.7×	87 1.7×	28	471

Countries citing papers authored by Jessica Plescia

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jessica Plescia

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Plescia. A scholar is included among the top collaborators of Jessica Plescia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jessica Plescia. Jessica Plescia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Plescia, Jessica, Damien Hédou, Anne Labarre, et al.. (2022). Modulating the selectivity of inhibitors for prolyl oligopeptidase inhibitors and fibroblast activation protein-α for different indications. European Journal of Medicinal Chemistry. 240. 114543–114543. 4 indexed citations

Wang, Guanyu, Christopher Hennecker, Anne Labarre, et al.. (2021). Design, synthesis and in vitro evaluation of novel SARS-CoV-2 3CLpro covalent inhibitors. European Journal of Medicinal Chemistry. 229. 114046–114046. 62 indexed citations

Ross, Julie, Jessica Plescia, Patricia LaPlante, et al.. (2020). Targeting MYC: From understanding its biology to drug discovery. European Journal of Medicinal Chemistry. 213. 113137–113137. 22 indexed citations

Plescia, Jessica & Nicolas Moitessier. (2020). Design and discovery of boronic acid drugs. European Journal of Medicinal Chemistry. 195. 112270–112270. 145 indexed citations

Plescia, Jessica, et al.. (2019). Discovery of covalent prolyl oligopeptidase boronic ester inhibitors. European Journal of Medicinal Chemistry. 185. 111783–111783. 11 indexed citations

Plescia, Jessica, et al.. (2019). Computational methods for prediction of drug properties - application to Cytochrome P450 metabolism prediction. SHILAP Revista de lepidopterología. 2019(4). 280–298. 1 indexed citations

Plescia, Jessica, Stéphane De Cesco, Justin M. Di Trani, et al.. (2019). Integrated Synthetic, Biophysical, and Computational Investigations of Covalent Inhibitors of Prolyl Oligopeptidase and Fibroblast Activation Protein α. Journal of Medicinal Chemistry. 62(17). 7874–7884. 13 indexed citations

Trani, Justin M. Di, et al.. (2018). Rapid measurement of inhibitor binding kinetics by isothermal titration calorimetry. Nature Communications. 9(1). 893–893. 45 indexed citations

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.

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