M.A. Grillo

1.7k total citations
81 papers, 1.5k citations indexed

About

M.A. Grillo is a scholar working on Molecular Biology, Biochemistry and Pharmacology. According to data from OpenAlex, M.A. Grillo has authored 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 48 papers in Biochemistry and 13 papers in Pharmacology. Recurrent topics in M.A. Grillo's work include Amino Acid Enzymes and Metabolism (46 papers), Polyamine Metabolism and Applications (40 papers) and Cannabis and Cannabinoid Research (11 papers). M.A. Grillo is often cited by papers focused on Amino Acid Enzymes and Metabolism (46 papers), Polyamine Metabolism and Applications (40 papers) and Cannabis and Cannabinoid Research (11 papers). M.A. Grillo collaborates with scholars based in Italy, United States and Austria. M.A. Grillo's co-authors include Sebastiano Colombatto, Carlo Cravanzola, Antonio Toninello, Valentina Battaglia, A Lanza, Claudia Cabella, Marcantonio Bragadin, Carlo Rossi, Laura Mercolini and Andrea Bandino and has published in prestigious journals such as Hepatology, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

M.A. Grillo

80 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.A. Grillo Italy 21 860 381 205 174 169 81 1.5k
Colin T. Dolphin United Kingdom 24 901 1.0× 191 0.5× 133 0.6× 268 1.5× 272 1.6× 33 1.9k
Michel J. Jung France 19 732 0.9× 296 0.8× 128 0.6× 108 0.6× 114 0.7× 42 1.6k
Marta I. Aveldaño Argentina 29 1.4k 1.7× 707 1.9× 78 0.4× 279 1.6× 165 1.0× 66 2.5k
C. Panneerselvam India 24 675 0.8× 221 0.6× 63 0.3× 244 1.4× 204 1.2× 40 1.6k
Alain Legrand France 29 1.4k 1.6× 211 0.6× 90 0.4× 271 1.6× 257 1.5× 94 2.5k
J.B. Jepson United Kingdom 13 518 0.6× 190 0.5× 87 0.4× 148 0.9× 199 1.2× 30 1.4k
Ronald A. Pieringer United States 27 1.3k 1.5× 547 1.4× 69 0.3× 219 1.3× 227 1.3× 77 2.1k
Allen T. Phillips United States 22 924 1.1× 314 0.8× 111 0.5× 103 0.6× 85 0.5× 58 1.5k
Sven Hammarström Sweden 21 820 1.0× 316 0.8× 330 1.6× 402 2.3× 50 0.3× 42 1.8k
Alan Burkhalter United States 15 1.1k 1.3× 243 0.6× 301 1.5× 512 2.9× 52 0.3× 31 2.6k

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-authorship network of co-authors of M.A. Grillo

This figure shows the co-authorship network connecting the top 25 collaborators of M.A. Grillo. A scholar is included among the top collaborators of M.A. Grillo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.A. Grillo. M.A. Grillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Frinchi, Monica, Fulvio Plescia, Francisco Ciruela, et al.. (2020). Guanosine-Mediated Anxiolytic-Like Effect: Interplay with Adenosine A1 and A2A Receptors. International Journal of Molecular Sciences. 21(23). 9281–9281. 14 indexed citations
2.
Kaja, Simon, Padmaja Kandula, C.A. Reddy, et al.. (2011). Distribution and function of polycystin-2 in mouse retinal ganglion cells. Neuroscience. 202. 99–107. 5 indexed citations
3.
Battaglia, Valentina, Silvia Grancara, Lisa Dalla Via, et al.. (2011). Further characterization of agmatine binding to mitochondrial membranes: involvement of imidazoline I2 receptor. Amino Acids. 42(2-3). 761–768. 6 indexed citations
4.
Battaglia, Valentina, Silvia Grancara, Carlo Cravanzola, et al.. (2009). Agmatine transport in brain mitochondria: a different mechanism from that in liver mitochondria. Amino Acids. 38(2). 423–430. 16 indexed citations
5.
Grillo, M.A., A Lanza, & Sebastiano Colombatto. (2008). Transport of amino acids through the placenta and their role. Amino Acids. 34(4). 517–523. 68 indexed citations
6.
Battaglia, Valentina, Claudio Rossi, Sebastiano Colombatto, M.A. Grillo, & Antonio Toninello. (2007). Different behavior of agmatine in liver mitochondria: Inducer of oxidative stress or scavenger of reactive oxygen species?. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1768(5). 1147–1153. 28 indexed citations
7.
Grillo, M.A. & Sebastiano Colombatto. (2005). S-Adenosylmethionine and protein methylation. Amino Acids. 28(4). 357–362. 45 indexed citations
8.
Grillo, M.A. & Sebastiano Colombatto. (2004). Arginine revisited: Minireview article. Amino Acids. 26(4). 345–51. 30 indexed citations
9.
Grillo, M.A. & Sebastiano Colombatto. (2003). Metabolism and function in animal tissues of agmatine, a biogenic amine formed from arginine. Amino Acids. 26(1). 3–8. 48 indexed citations
10.
Bordin, Luciana, Giulio Clari, Anna Maria Brunati, et al.. (2002). Phosphorylation of Recombinant Human Spermidine/Spermine N1-Acetyltransferase by CK1 and Modulation of Its Binding to Mitochondria: A Comparison with CK2. Biochemical and Biophysical Research Communications. 290(1). 463–468. 5 indexed citations
11.
Gardini, Giulia, Claudia Cabella, Carlo Cravanzola, et al.. (2001). Agmatine induces apoptosis in rat hepatocyte cultures. Journal of Hepatology. 35(4). 482–489. 32 indexed citations
12.
Cabella, Claudia, Giulia Gardini, Davide Corpillo, et al.. (2001). Transport and metabolism of agmatine in rat hepatocyte cultures. European Journal of Biochemistry. 268(4). 940–947. 54 indexed citations
13.
Cabella, Claudia, et al.. (1999). Agmatine modulates polyamine content in hepatocytes by inducing spermidine/spermine acetyltransferase. European Journal of Biochemistry. 259(3). 933–938. 60 indexed citations
14.
Colombatto, Sebastiano, et al.. (1996). Spermidine Acetyltransferase in Rat Hepatocytes Cultured At Different Oxygen Tensions. Hepatology. 24(4). 924–927. 5 indexed citations
15.
Colombatto, Sebastiano, et al.. (1994). Modulation of ornithine aminotransferase activity by oxygen in rat hepatocyte cultures. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1224(3). 329–332. 3 indexed citations
16.
Grillo, M.A. & Sebastiano Colombatto. (1994). Polyamine transport in cells. Biochemical Society Transactions. 22(4). 894–898. 28 indexed citations
17.
Colombatto, Sebastiano & M.A. Grillo. (1993). Effect of berenil on polyamine metabolism in primary cultured rat hepatocytes. International Journal of Biochemistry. 25(6). 865–868. 3 indexed citations
18.
Fontana, Luis, Sebastiano Colombatto, & M.A. Grillo. (1993). Regulation of spermidine transport in l1210 cells. International Journal of Biochemistry. 25(10). 1497–1500. 3 indexed citations
19.
Colombatto, Sebastiano, et al.. (1990). Transport and metabolism of polyamines in human lymphocytes. International Journal of Biochemistry. 22(5). 489–492. 26 indexed citations
20.
Fasulo, Luisa, et al.. (1988). Uptake of Polyamines by Human Lymphocytes and Their Effect on Lactate Formation from Glucose. Advances in experimental medicine and biology. 250. 509–516. 5 indexed citations

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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