Monica Andreoli

633 citations
9 papers · 390 · h-index 7

Impact in

Papers in

    • Protein Degradation and Inhibitors 4
    • Histone Deacetylase Inhibitors Research 3
    • Peptidase Inhibition and Analysis 3
    • Bone health and treatments 1

Monica Andreoli

9 papers receiving 382 citations

Peers

Monica Andreoli
Comparison fields: 5 of 60
  • Biochemistry 48
  • Oncology 129
  • Hematology 52
  • Physiology 17
  • Molecular Biology 232
Replace Mutsumi Okamura with:
Mutsumi Okamura Japan
Piergiorgio Pettazzoni Italy
Seon-Hyeong Lee South Korea
Na Qiao United States
Yunkyung Heo South Korea
Takashi Tsuruo Japan
Zofia M. Kiliańska Poland
Makoto Hamada Japan
Deepak Bhattarai South Korea
Hilde Elise Førde Norway
Monica Andreoli relative to Mutsumi Okamura Japan Mutsumi Okamura's profile →
Citations per field
00.5×1.5×2.2×
Mutsumi Okamura · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Monica Andreoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Monica Andreoli Line = papers co-authored together Monica Andreoli links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2019106
2 202174
3 201367
4 199848
5 201333
6 201929
7 201328
8 20233
9 20182

About Monica Andreoli

Monica Andreoli is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Physiology and Organic Chemistry, having authored 9 papers that have together received 390 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Advanced Breast Cancer Therapies (3 papers), Peptidase Inhibition and Analysis (3 papers), Adenosine and Purinergic Signaling (2 papers), Metabolism and Genetic Disorders (1 paper), Macrophage Migration Inhibitory Factor (1 paper) and Bone health and treatments (1 paper). The work is most often cited by research in Biochemistry (48 citations), Oncology (129 citations), Hematology (52 citations), Physiology (17 citations) and Molecular Biology (232 citations). Monica Andreoli has collaborated with scholars based in United States, France and Argentina. Frequent co-authors include Jennifer Pizzano, Emma Rousseau, Gregory Cadelina, Ryan R. Willard, Mark Bookbinder, Yimin Qian, John Houston, I Taylor, Janette E. Bradley and A. Podjarny. Their work appears in journals such as Cancer Research, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Endocrinology and Journal of Biological Chemistry.

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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