Monica Andreoli

633 total citations
9 papers, 390 citations indexed

About

Monica Andreoli is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Monica Andreoli has authored 9 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Monica Andreoli's work include Protein Degradation and Inhibitors (4 papers), Advanced Breast Cancer Therapies (3 papers) and Peptidase Inhibition and Analysis (3 papers). Monica Andreoli is often cited by papers focused on Protein Degradation and Inhibitors (4 papers), Advanced Breast Cancer Therapies (3 papers) and Peptidase Inhibition and Analysis (3 papers). Monica Andreoli collaborates with scholars based in United States, France and Argentina. Monica Andreoli's co-authors include Mark Bookbinder, John Houston, Ryan R. Willard, I Taylor, Yimin Qian, Emma Rousseau, Jennifer Pizzano, Gregory Cadelina, Janette E. Bradley and Bruce Ellis and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Endocrinology.

In The Last Decade

Monica Andreoli

9 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monica Andreoli United States 7 232 129 60 52 49 9 390
Dirk Erdmann Switzerland 14 327 1.4× 71 0.6× 20 0.3× 48 0.9× 18 0.4× 30 592
Piergiorgio Pettazzoni Italy 12 386 1.7× 126 1.0× 37 0.6× 63 1.2× 24 0.5× 18 525
Deepak Bhattarai South Korea 13 272 1.2× 95 0.7× 129 2.1× 22 0.4× 40 0.8× 25 466
James J. Perkins United States 12 212 0.9× 50 0.4× 176 2.9× 50 1.0× 45 0.9× 19 483
Masaki Gouda Japan 9 235 1.0× 85 0.7× 49 0.8× 37 0.7× 28 0.6× 11 385
Rajesh Bazaz United States 11 258 1.1× 78 0.6× 30 0.5× 58 1.1× 50 1.0× 13 549
Koc-Kan Ho United States 12 328 1.4× 73 0.6× 64 1.1× 13 0.3× 31 0.6× 17 476
Danny Burg Netherlands 9 358 1.5× 139 1.1× 33 0.6× 34 0.7× 36 0.7× 13 507
Mutsumi Okamura Japan 12 363 1.6× 72 0.6× 75 1.3× 24 0.5× 25 0.5× 21 506
Franziska Wachter United States 13 369 1.6× 157 1.2× 38 0.6× 70 1.3× 53 1.1× 28 521

Countries citing papers authored by Monica Andreoli

Since Specialization
Citations

This map shows the geographic impact of Monica Andreoli'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 Monica Andreoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Andreoli more than expected).

Fields of papers citing papers by Monica Andreoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica Andreoli. 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 Monica Andreoli. The network helps show where Monica Andreoli may publish in the future.

Co-authorship network of co-authors of Monica Andreoli

This figure shows the co-authorship network connecting the top 25 collaborators of Monica Andreoli. A scholar is included among the top collaborators of Monica Andreoli 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 Monica Andreoli. Monica Andreoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Wu, Wendy, Monica Andreoli, Elizabeth Bortolon, et al.. (2023). Abstract 432: Mechanisms of acquired resistance to ARV-471, a novel PROTAC® estrogen receptor degrader. Cancer Research. 83(7_Supplement). 432–432. 3 indexed citations
2.
Snyder, Lawrence B., John J. Flanagan, Yimin Qian, et al.. (2021). Abstract 44: The discovery of ARV-471, an orally bioavailable estrogen receptor degrading PROTAC for the treatment of patients with breast cancer. Cancer Research. 81(13_Supplement). 44–44. 74 indexed citations
3.
Tilstam, Pathricia V., Georgios Pantouris, Michael L. Corman, et al.. (2019). A selective small-molecule inhibitor of macrophage migration inhibitory factor-2 (MIF-2), a MIF cytokine superfamily member, inhibits MIF-2 biological activity. Journal of Biological Chemistry. 294(49). 18522–18531. 29 indexed citations
4.
Qian, Yimin, Monica Andreoli, Mark Bookbinder, et al.. (2019). Abstract P5-04-18: ARV-471, an oral estrogen receptor PROTAC degrader for breast cancer. Cancer Research. 79(4_Supplement). P5–4. 106 indexed citations
5.
Qian, Yimin, Monica Andreoli, Mark Bookbinder, et al.. (2018). Abstract P4-04-04: Identification and development of oral estrogen receptor PROTAC degraders for breast cancer. Cancer Research. 78(4_Supplement). P4–4. 2 indexed citations
6.
Gołȩbiowski, Adam, Darren L. Whitehouse, R. Paul Beckett, et al.. (2013). Synthesis of quaternary α-amino acid-based arginase inhibitors via the Ugi reaction. Bioorganic & Medicinal Chemistry Letters. 23(17). 4837–4841. 33 indexed citations
7.
Gołȩbiowski, Adam, R. Paul Beckett, M. Van Zandt, et al.. (2013). 2-Substituted-2-amino-6-boronohexanoic acids as arginase inhibitors. Bioorganic & Medicinal Chemistry Letters. 23(7). 2027–2030. 28 indexed citations
8.
Zandt, M.C. Van, Darren L. Whitehouse, Adam Gołȩbiowski, et al.. (2013). Discovery of (R)-2-Amino-6-borono-2-(2-(piperidin-1-yl)ethyl)hexanoic Acid and Congeners As Highly Potent Inhibitors of Human Arginases I and II for Treatment of Myocardial Reperfusion Injury. Journal of Medicinal Chemistry. 56(6). 2568–2580. 67 indexed citations
9.
Carpenter, Thomas O., Kathleen Moltz, Bruce Ellis, et al.. (1998). Osteocalcin Production in Primary Osteoblast Cultures Derived from Normal and Hyp Mice. Endocrinology. 139(1). 35–43. 48 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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