Marco Macchia

232 papers receiving 4.4k citations

Peers

Marco Macchia
Comparison fields: 5 of 149
  • Pharmacology 903
  • Toxicology 170
  • Biochemistry 261
  • Cancer Research 602
  • Organic Chemistry 1.2k
Replace Yoongho Lim with:
Yoongho Lim South Korea
Filippo Minutolo Italy
Liang Liu Macao
Yong‐Yeon Cho South Korea
Jingya Li China
Omidreza Firuzi Iran
Marcus J. C. Long United States
Katrin Sak India
Shiuan Chen United States
Renxiang Tan China
Marco Macchia relative to Yoongho Lim South Korea Yoongho Lim's profile →
Citations per field
00.5×1.5×1.9×
Yoongho Lim · 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 247 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011187
2 2010180
3 2009128
4 2002110
5 201986
6 201675
7 200474
8 200571
9 201870
10 201866
11 201665
12 201163
13 201561
14 199860
15 200653
16 201353
17 201450
18 200150
19 200648
20 201347

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 247 papers that have together received 4.5k 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 (903 citations), Toxicology (170 citations), Biochemistry (261 citations), Cancer Research (602 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 Giuseppe Saccomanni. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry and International Journal of Molecular Sciences.

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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