Michael Vicchiarelli

16 papers receiving 350 citations

Peers

Michael Vicchiarelli
Comparison fields: 5 of 78
  • Molecular Medicine 58
  • Applied Microbiology and Biotechnology 9
  • Physiology 18
  • Pharmacology 59
  • Endocrinology, Diabetes and Metabolism 56
Replace Sara Paccosi with:
Sara Paccosi Italy
Thomas Kenney United States
Wendy He New Zealand
Maria Grazia Mazzone Italy
Simone Torretta Italy
Shiori Nakagawa Japan
Reena Agrawal-Rajput India
Michael Vicchiarelli relative to Sara Paccosi Italy Sara Paccosi's profile →
Citations per field
00.5×4.3×
Sara Paccosi · 1×
Citations per year

Countries citing papers authored by Michael Vicchiarelli

Since Specialization
Citations

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

Fields of papers citing papers by Michael Vicchiarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Vicchiarelli, 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 Michael Vicchiarelli Line = papers co-authored together Michael Vicchiarelli links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200993
2 201147
3 201140
4 201840
5 201823
6
Screening for Selective Ligands for GPR55 - Antagonists
201123
7 201823
8 201016
9 201314
10 20219
11 20188
12 20215
13 20235
14 20125
15 20202
16 20241
17 20240

About Michael Vicchiarelli

Michael Vicchiarelli is a scholar working on Pharmacology, Epidemiology, Molecular Biology, Molecular Medicine and Infectious Diseases, having authored 17 papers that have together received 354 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (6 papers), Antibiotic Resistance in Bacteria (6 papers), Urinary Tract Infections Management (2 papers), Tuberculosis Research and Epidemiology (2 papers), NF-κB Signaling Pathways (2 papers), Glycosylation and Glycoproteins Research (1 paper), Virology and Viral Diseases (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Molecular Medicine (58 citations), Applied Microbiology and Biotechnology (9 citations), Physiology (18 citations), Pharmacology (59 citations) and Endocrinology, Diabetes and Metabolism (56 citations). Michael Vicchiarelli has collaborated with scholars based in United States and Colombia. Frequent co-authors include Layton H. Smith, Arianna Mangravita-Novo, Brock Brown, George L. Drusano, Arnold Louie, Eduard Sergienko, Russell Dahl, Nicholas D. P. Cosford, Michael S. Maynard and Li Yang. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters and Frontiers in Pharmacology.

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.

Explore authors with similar magnitude of impact