Giorgio Matassi
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Ion Transport and Channel Regulation
- RNA modifications and cancer
Papers in
-
- RNA and protein synthesis mechanisms 9
- Genomics and Phylogenetic Studies 8
- RNA modifications and cancer 5
- RNA Research and Splicing 3
- Hematology 10
- Blood groups and transfusion 10
- Co-authors
- Paul M. Sharp (3 shared papers)Baya Chérif‐Zahar (14 shared papers)Giorgio Bernardi (7 shared papers)Virginie Raynal (7 shared papers)Julio Salinas (3 shared papers)Jean‐Pierre Cartron (8 shared papers)Anne‐Marie Marini (1 shared paper)Bruno André (1 shared paper)
In The Last Decade
Giorgio Matassi
34 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Hematology 330
- Molecular Biology 1.1k
- Biochemistry 106
- Physiology 348
- Genetics 125
Countries citing papers authored by Giorgio Matassi
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
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-authors
The 25 scholars most cited alongside Giorgio Matassi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 281 | |
| 2 | 1994 | 212 | |
| 3 | 1995 | 197 | |
| 4 | 1988 | 121 | |
| 5 | 1999 | 113 | |
| 6 | 2007 | 112 | |
| 7 | 1996 | 95 | |
| 8 | 1998 | 90 | |
| 9 | 1990 | 67 | |
| 10 | 1989 | 65 | |
| 11 | 1998 | 62 | |
| 12 | 1999 | 47 | |
| 13 | 1998 | 45 | |
| 14 | 2004 | 39 | |
| 15 | 1998 | 36 | |
| 16 | 2012 | 35 | |
| 17 | 1992 | 26 | |
| 18 | 1998 | 26 | |
| 19 | Characterization of the recombination hot spot involved in the genomic rearrangement leading to the hybrid D-CE-D gene in the D(VI) phenotype. | 1997 | 25 |
| 20 | 1997 | 24 |
About Giorgio Matassi
Giorgio Matassi is a scholar working on Molecular Biology, Hematology, Physiology, Genetics and Plant Science, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Blood groups and transfusion (10 papers), Erythrocyte Function and Pathophysiology (9 papers), RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (8 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (3 papers), Chromosomal and Genetic Variations (3 papers) and Blood properties and coagulation (3 papers). The work is most often cited by research in Hematology (330 citations), Molecular Biology (1.1k citations), Biochemistry (106 citations), Physiology (348 citations) and Genetics (125 citations). Giorgio Matassi has collaborated with scholars based in France, Italy and Spain. Frequent co-authors include Paul M. Sharp, Baya Chérif‐Zahar, Giorgio Bernardi, Virginie Raynal, Julio Salinas, Jean‐Pierre Cartron, Anne‐Marie Marini, Bruno André, Michalis Averof and John F. Peden. Their work appears in journals such as Blood, Nucleic Acids Research, Gene, FEBS Letters and eLife.
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.