Marco Macchia

212 papers receiving 4.2k citations

Peers

Marco Macchia
Comparison fields: 5 of 141
  • Pharmacology 888
  • Toxicology 168
  • Biochemistry 263
  • Cancer Research 622
  • Organic Chemistry 1.2k
Replace Yoongho Lim with:
Yoongho Lim South Korea
Marcus J. C. Long United States
Vincenzo Pezzi Italy
Jingya Li China
Renxiang Tan China
Miguel López‐Lázaro Spain
Xiaokui Huo China
Katrin Sak India
Andreas Koeberle Germany
Hongbin Sun 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 226 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011182
2 2010171
3 2009126
4 2002107
5 201981
6 200471
7 200570
8 201668
9 201864
10 201864
11 201161
12 199860
13 201659
14 201557
15 200651
16 201350
17 201448
18 200147
19 201047
20 201546

About Marco Macchia

Marco Macchia is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Cellular and Molecular Neuroscience and Oncology, having authored 226 papers that have together received 4.3k indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (31 papers), Cannabis and Cannabinoid Research (31 papers), Receptor Mechanisms and Signaling (26 papers), Computational Drug Discovery Methods (20 papers), Estrogen and related hormone effects (12 papers), Edible Oils Quality and Analysis (12 papers), Synthesis and Biological Evaluation (12 papers) and Neuroscience and Neuropharmacology Research (12 papers). The work is most often cited by research in Pharmacology (888 citations), Toxicology (168 citations), Biochemistry (263 citations), Cancer Research (622 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, Clementina Manera, Maria Digiacomo, Simona Rapposelli, Armando Rossello and John A. Katzenellenbogen. 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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