M.G. Farace

1.3k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

M.G. Farace is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, M.G. Farace has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Physiology. Recurrent topics in M.G. Farace's work include Erythrocyte Function and Pathophysiology (4 papers), Hemoglobinopathies and Related Disorders (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). M.G. Farace is often cited by papers focused on Erythrocyte Function and Pathophysiology (4 papers), Hemoglobinopathies and Related Disorders (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). M.G. Farace collaborates with scholars based in Italy, Spain and United States. M.G. Farace's co-authors include Silvia Anna Ciafrè, Massimo Negrini, Manuela Ferracin, Carlo M. Croce, G. Maira, Annunziato Mangiola, Silvia Galardi, Giovanni Sabatino, A Fantoni and Roberto Gambari and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Biochemical and Biophysical Research Communications.

In The Last Decade

M.G. Farace

13 papers receiving 1.0k citations

Hit Papers

Extensive modulation of a set of microRNAs in primary gli... 2005 2026 2012 2019 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.G. Farace Italy 8 935 812 79 40 37 13 1.1k
Andrea Bisognin Italy 16 679 0.7× 528 0.7× 29 0.4× 15 0.4× 37 1.0× 24 864
Wenkang Luan China 21 1.2k 1.3× 1.1k 1.4× 47 0.6× 15 0.4× 19 0.5× 38 1.3k
Aleco D’Andrea Italy 8 695 0.7× 619 0.8× 25 0.3× 26 0.7× 18 0.5× 8 897
Gina Lee United States 9 336 0.4× 202 0.2× 136 1.7× 27 0.7× 40 1.1× 12 646
Joanna Stefano United States 5 1.1k 1.1× 901 1.1× 45 0.6× 12 0.3× 23 0.6× 6 1.3k
Angel A. Alvarez United States 16 773 0.8× 455 0.6× 117 1.5× 13 0.3× 37 1.0× 23 1.1k
Crystal G. Wheeler United States 11 404 0.4× 97 0.1× 61 0.8× 13 0.3× 61 1.6× 15 557
Keiko Tano Japan 10 1.2k 1.3× 878 1.1× 15 0.2× 28 0.7× 42 1.1× 12 1.3k
Carlos Stahlhut United States 9 781 0.8× 680 0.8× 20 0.3× 18 0.5× 30 0.8× 15 951
Xuexiu Zheng South Korea 17 740 0.8× 119 0.1× 79 1.0× 39 1.0× 26 0.7× 39 822

Countries citing papers authored by M.G. Farace

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Farace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.G. Farace

This figure shows the co-authorship network connecting the top 25 collaborators of M.G. Farace. A scholar is included among the top collaborators of M.G. Farace 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.G. Farace. M.G. Farace is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Ciafrè, Silvia Anna, Silvia Galardi, Annunziato Mangiola, et al.. (2005). Extensive modulation of a set of microRNAs in primary glioblastoma. Biochemical and Biophysical Research Communications. 334(4). 1351–1358. 887 indexed citations breakdown →
3.
Barrera, Giuseppina, Stefania Pizzimenti, Angelo Serra, et al.. (1994). Inhibition of c-myc Expression Induced by 4-Hydroxynonenal, a Product of Lipid Peroxidation, in the HL-60 Human Leukemic Cell Line. Biochemical and Biophysical Research Communications. 203(1). 553–561. 53 indexed citations
4.
Fazio, Vito Michele, Sergio Fazio, Monica Rinaldi, et al.. (1994). Accumulation of Human Apolipoprotein-E in Rat Plasma After in vivo Intramuscular Injection of Naked DNA. Biochemical and Biophysical Research Communications. 200(1). 298–305. 25 indexed citations
5.
Metafora, Salvatore, et al.. (1991). Isolation of high molecular weight DNA from rat epididymal spermatozoa. 1 indexed citations
6.
Gambari, Roberto, Giuseppe Raschellà, R. Biagini, et al.. (1983). Predominant expression of σ and ε globin genes in human leukemia K-562(S6) variant cell line. Cellular and Molecular Life Sciences. 39(4). 415–416. 13 indexed citations
7.
Farace, M.G., et al.. (1981). Embryonic hemoglobins in man and other mammals. Blood. 57(4). 623–633. 2 indexed citations
8.
Fantoni, A, M.G. Farace, & Roberto Gambari. (1981). Embryonic hemoglobins in man and other mammals. Blood. 57(4). 623–633. 27 indexed citations
9.
11.
Farace, M.G., et al.. (1976). No detectable reiteration of genes coding for mouse MOPC 41 immunoglobulin light-chain mRNA.. Proceedings of the National Academy of Sciences. 73(3). 727–731. 25 indexed citations
12.
Bordin, Sandra, M.G. Farace, & A Fantoni. (1972). Rate of hemoglobin synthesis controlled at the translational level in differentiating erythroid cells from adult mice. Biochimica et Biophysica Acta (BBA) - Nucleic Acids and Protein Synthesis. 281(2). 277–288. 9 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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