Giorgio Matassi

5.0k total citations
35 papers, 1.8k citations indexed

About

Giorgio Matassi is a scholar working on Molecular Biology, Hematology and Physiology. According to data from OpenAlex, Giorgio Matassi has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Hematology and 9 papers in Physiology. Recurrent topics in Giorgio Matassi's work include Blood groups and transfusion (10 papers), Erythrocyte Function and Pathophysiology (9 papers) and RNA and protein synthesis mechanisms (9 papers). Giorgio Matassi is often cited by papers focused on Blood groups and transfusion (10 papers), Erythrocyte Function and Pathophysiology (9 papers) and RNA and protein synthesis mechanisms (9 papers). Giorgio Matassi collaborates with scholars based in France, Italy and Spain. Giorgio Matassi's co-authors include Paul M. Sharp, Baya Chérif‐Zahar, Giorgio Bernardi, Virginie Raynal, Julio Salinas, Jean‐Pierre Cartron, Anne‐Marie Marini, Bruno André, John F. Peden and Michalis Averof and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Giorgio Matassi

34 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giorgio Matassi France 21 1.1k 385 348 330 303 35 1.8k
J L Slightom United States 33 2.3k 2.1× 1.4k 3.6× 62 0.2× 110 0.3× 474 1.6× 52 3.2k
Sophie D. Lefevre France 19 588 0.5× 85 0.2× 308 0.9× 104 0.3× 107 0.4× 35 1.1k
Simone Altmann Germany 20 1.0k 0.9× 1.3k 3.5× 61 0.2× 142 0.4× 109 0.4× 31 2.2k
Christelle Le Dantec France 27 1.1k 1.0× 359 0.9× 322 0.9× 55 0.2× 572 1.9× 63 2.4k
Claude Robert Canada 37 1.9k 1.7× 203 0.5× 112 0.3× 84 0.3× 1.0k 3.4× 127 4.0k
Harriet Gershon Israel 21 630 0.6× 53 0.1× 399 1.1× 145 0.4× 121 0.4× 62 1.5k
Kazumi Nakano Japan 25 1.4k 1.2× 72 0.2× 135 0.4× 101 0.3× 221 0.7× 70 2.9k
Pudur Jagadeeswaran United States 29 1.2k 1.1× 162 0.4× 89 0.3× 931 2.8× 342 1.1× 95 2.8k
Adrian Alexa Germany 8 1.2k 1.1× 432 1.1× 82 0.2× 25 0.1× 350 1.2× 8 2.1k
Takehiko Kobayashi Japan 38 4.2k 3.8× 859 2.2× 166 0.5× 190 0.6× 775 2.6× 92 4.9k

Countries citing papers authored by Giorgio Matassi

Since Specialization
Citations

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

Fields of papers citing papers by Giorgio Matassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giorgio Matassi. 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 Giorgio Matassi. The network helps show where Giorgio Matassi may publish in the future.

Co-authorship network of co-authors of Giorgio Matassi

This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Matassi. A scholar is included among the top collaborators of Giorgio Matassi 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 Giorgio Matassi. Giorgio Matassi 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.
Seugnet, Laurent, Giorgio Matassi, Baya Chérif‐Zahar, et al.. (2024). Metabolic and neurobehavioral disturbances induced by purine recycling deficiency in Drosophila. eLife. 12. 1 indexed citations
2.
Seugnet, Laurent, Giorgio Matassi, Baya Chérif‐Zahar, et al.. (2023). Metabolic and neurobehavioral disturbances induced by purine recycling deficiency in Drosophila. eLife. 12.
3.
Matassi, Giorgio & Pedro Martı́nez. (2023). The brain-computer analogy—“A special issue”. Frontiers in Ecology and Evolution. 10. 4 indexed citations
4.
Matassi, Giorgio. (2017). Horizontal gene transfer drives the evolution of Rh50 permeases in prokaryotes. BMC Evolutionary Biology. 17(1). 2–2. 15 indexed citations
5.
Lupo, Domenico, Xiaodan Li, Anne Durand, et al.. (2007). The 1.3-Å resolution structure of Nitrosomonas europaea Rh50 and mechanistic implications for NH 3 transport by Rhesus family proteins. Proceedings of the National Academy of Sciences. 104(49). 19303–19308. 112 indexed citations
6.
Marini, Anne‐Marie, et al.. (2000). The human Rhesus-associated RhAG protein and a kidney homologue promote ammonium transport in yeast. Nature Genetics. 26(3). 341–344. 281 indexed citations
7.
Matassi, Giorgio, Paul M. Sharp, & Christian Gautier. (1999). Chromosomal location effects on gene sequence evolution in mammals. Current Biology. 9(15). 786–791. 113 indexed citations
8.
Matassi, Giorgio, Baya Chérif‐Zahar, Graziano Pesole, Virginie Raynal, & Jean‐Pierre Cartron. (1999). The Members of the RH Gene Family (RH50 and RH30) Followed Different Evolutionary Pathways. Journal of Molecular Evolution. 48(2). 151–159. 47 indexed citations
9.
Matassi, Giorgio, Damian Labuda, & Giorgio Bernardi. (1998). Distribution of the mammalian‐wide interspersed repeats (MIRs) in the isochores of the human genome. FEBS Letters. 439(1-2). 63–65. 12 indexed citations
10.
Chérif‐Zahar, Baya, Giorgio Matassi, Virginie Raynal, et al.. (1998). Molecular Defects of the RHCE Gene in Rh-Deficient Individuals of the Amorph Type. Blood. 92(2). 639–646. 3 indexed citations
11.
Cartron, Jean‐Pierre, P. Bailly, Caroline Le Van Kim, et al.. (1998). Insights into the Structure and Function of Membrane Polypeptides Carrying Blood Group Antigens. Vox Sanguinis. 74(S2). 29–64. 90 indexed citations
12.
Matassi, Giorgio, Baya Chérif‐Zahar, Isabelle Mouro-Chanteloup, & J.-P. Cartron. (1997). Characterization of the recombination hot spot involved in the genomic rearrangement leading to the hybrid D-CE-D gene in the D(VI) phenotype.. Europe PMC (PubMed Central). 60(4). 808–17. 25 indexed citations
13.
Cacciò, Simone M., et al.. (1997). Methylation patterns in the isochores of vertebrate genomes. Gene. 205(1-2). 119–124. 24 indexed citations
14.
Olivès, Bernadette, Sonia Martial, Marie‐Geneviève Mattéi, et al.. (1996). Molecular characterization of a new urea transporter in the human kidney. FEBS Letters. 386(2-3). 156–160. 95 indexed citations
15.
Sharp, Paul M., Michalis Averof, Andrew T. Lloyd, Giorgio Matassi, & John F. Peden. (1995). DNA sequence evolution: the sounds of silence. Philosophical Transactions of the Royal Society B Biological Sciences. 349(1329). 241–247. 197 indexed citations
16.
Sharp, Paul M. & Giorgio Matassi. (1994). Codon usage and genome evolution. Current Opinion in Genetics & Development. 4(6). 851–860. 212 indexed citations
17.
Matassi, Giorgio, Roberta Melis, Kenneth C. Kuo, et al.. (1992). Large-scale methylation patterns in the nuclear genomes of plants. Gene. 122(2). 239–245. 26 indexed citations
18.
Salinas, Julio, et al.. (1990). Gene distribution and isochore organization in the nuclear genome of plants. Nucleic Acids Research. 18(7). 1859–1867. 67 indexed citations
19.
Matassi, Giorgio, et al.. (1989). The isochore organization and the compositional distribution of homologous coding sequences inthe nuclear genome of plants. Nucleic Acids Research. 17(13). 5273–5290. 65 indexed citations
20.
Salinas, Julio, et al.. (1988). Compositional compartmentalization and compositional patterns in the nuclear genomes of plants. Nucleic Acids Research. 16(10). 4269–4285. 121 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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