M.A. Grillo

1.7k citations
81 papers · 1.5k · h-index 21

Impact in

Papers in

    • Polyamine Metabolism and Applications 40
    • Mitochondrial Function and Pathology 5
    • Amino Acid Enzymes and Metabolism 45

M.A. Grillo

80 papers receiving 1.5k citations

Peers

M.A. Grillo
Comparison fields: 5 of 115
  • Biochemistry 371
  • Clinical Biochemistry 163
  • Molecular Biology 856
  • Pharmacology 188
  • Cellular and Molecular Neuroscience 133
Replace Ichitomo Miwa with:
Ichitomo Miwa Japan
Juan Pablo Pardo Mexico
Gwendolyn Barceló‐Coblijn Spain
I. E. Bush United States
Sam N. Pennington United States
B. Berra Italy
James Stoll United States
Cesira Foppoli Italy
Alejandra Rodríguez-Haralambides Uruguay
Peter J. Hanson United Kingdom
M.A. Grillo relative to Ichitomo Miwa Japan Ichitomo Miwa's profile →
Citations per field
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Ichitomo Miwa · 1×
Citations per year

Countries citing papers authored by M.A. Grillo

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Grillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Grillo. 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 M.A. Grillo. The network helps show where M.A. Grillo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007147
2 2007125
3 2008109
4 200872
5 201965
6 198565
7 200762
8 199960
9 200154
10 200549
11 200348
12 201839
13 200435
14 200132
15 199028
16 200728
17 199428
18 200626
19 200025
20 200325

About M.A. Grillo

M.A. Grillo is a scholar working on Molecular Biology, Biochemistry, Pharmacology, Clinical Biochemistry and Physiology, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (45 papers), Polyamine Metabolism and Applications (40 papers), Cannabis and Cannabinoid Research (9 papers), Metabolism and Genetic Disorders (9 papers), Biochemical effects in animals (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Biochemistry (371 citations), Clinical Biochemistry (163 citations), Molecular Biology (856 citations), Pharmacology (188 citations) and Cellular and Molecular Neuroscience (133 citations). M.A. Grillo has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Sebastiano Colombatto, Carlo Cravanzola, Antonio Toninello, Valentina Battaglia, A Lanza, Claudia Cabella, Marcantonio Bragadin, Luisa Fasulo, Carlo Rossi and Andrea Bandino. Their work appears in journals such as Amino Acids, Journal of Hepatology, Biochemical Society Transactions, European Journal of Biochemistry and Clinica Chimica Acta.

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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