Marco Macchia

224 papers receiving 4.3k citations

Peers

Marco Macchia
Comparison fields: 5 of 147
  • Pharmacology 877
  • Toxicology 169
  • Cancer Research 587
  • Biochemistry 246
  • Organic Chemistry 1.2k
Replace Filippo Minutolo with:
Filippo Minutolo Italy
Yoongho Lim South Korea
Liang Liu Macao
Katrin Sak India
Yong‐Yeon Cho South Korea
Shiuan Chen United States
Jingya Li China
Omidreza Firuzi Iran
Miguel López‐Lázaro Spain
Meiyu Geng China
Marco Macchia relative to Filippo Minutolo Italy Filippo Minutolo's profile →
Citations per field
00.5×3.5×
Filippo Minutolo · 1×
Citations per year

Countries citing papers authored by Marco Macchia

Since Specialization
Citations

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

Fields of papers citing papers by Marco Macchia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 239 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011183
2 2010172
3 2009126
4 2002108
5 201982
6 200471
7 201670
8 200570
9 201866
10 201864
11 201162
12 199860
13 201660
14 201557
15 201353
16 200651
17 201449
18 201047
19 200147
20 201346

About Marco Macchia

Marco Macchia is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience, having authored 239 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (32 papers), Pharmacological Receptor Mechanisms and Effects (30 papers), Receptor Mechanisms and Signaling (26 papers), Computational Drug Discovery Methods (21 papers), Neuroscience and Neuropharmacology Research (12 papers), Estrogen and related hormone effects (12 papers), Edible Oils Quality and Analysis (12 papers) and Synthesis and biological activity (12 papers). The work is most often cited by research in Pharmacology (877 citations), Toxicology (169 citations), Cancer Research (587 citations), Biochemistry (246 citations) and Organic Chemistry (1.2k citations). Marco Macchia has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Filippo Minutolo, Simone Bertini, Carlotta Granchi, Tiziano Tuccinardi, Adriano Martinelli, Maria Digiacomo, Clementina Manera, Simona Rapposelli, Giulio Poli and John A. Katzenellenbogen. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, International Journal of Molecular Sciences and Bioorganic & Medicinal 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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