G. Rainaldi
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
- Aging top 10%
Papers in
-
- Genomics and Phylogenetic Studies 6
- Mitochondrial Function and Pathology 4
- Photosynthetic Processes and Mechanisms 3
- Metabolomics and Mass Spectrometry Studies 2
- Protist diversity and phylogeny 2
- Machine Learning in Bioinformatics 2
- Genetics 4
- Genetic diversity and population structure 2
- Co-authors
- Palmiro Cantatore (7 shared papers)M. N. Gadaleta (5 shared papers)Marina Roberti (4 shared papers)Cecilia Saccone (1 shared paper)Francesco Milella (2 shared papers)Angela Maria Serena Lezza (2 shared papers)Flavio Fracasso (2 shared papers)Cecilia Saccone (4 shared papers)
- Journals
- Gene (2 papers)Nucleic Acids Research (2 papers)Biochimica et Biophysica Acta (BBA) - Bioenergetics (1 paper)Theoretical and Applied Genetics (1 paper)Mutation Research/DNAging (1 paper)
- Partner nations
- Italy
In The Last Decade
G. Rainaldi
16 papers receiving 531 citations
Peers
Comparison fields: 5 of 74
- Clinical Biochemistry 109
- Aging 26
- Molecular Biology 433
- Aquatic Science 34
- Genetics 79
Countries citing papers authored by G. Rainaldi
This map shows the geographic impact of G. Rainaldi'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 G. Rainaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Rainaldi more than expected).
Fields of papers citing papers by G. Rainaldi
This network shows the impact of papers produced by G. Rainaldi. 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 G. Rainaldi. The network helps show where G. Rainaldi may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Rainaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 187 | |
| 2 | 1992 | 183 | |
| 3 | 1987 | 45 | |
| 4 | 1987 | 41 | |
| 5 | 2020 | 20 | |
| 6 | 1988 | 20 | |
| 7 | 2001 | 11 | |
| 8 | 2010 | 10 | |
| 9 | 2019 | 8 | |
| 10 | 2003 | 7 | |
| 11 | 2008 | 6 | |
| 12 | 1995 | 5 | |
| 13 | 2006 | 3 | |
| 14 | 2006 | 3 | |
| 15 | 1982 | 2 | |
| 16 | Cloning of mitochondrial DNA from Paracentrotus lividus. | 1984 | 1 |
About G. Rainaldi
G. Rainaldi is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology, Evolution, Behavior and Systematics and Food Science, having authored 16 papers that have together received 552 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Mitochondrial Function and Pathology (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Protist diversity and phylogeny (2 papers), Machine Learning in Bioinformatics (2 papers), Genetic diversity and population structure (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Clinical Biochemistry (109 citations), Aging (26 citations), Molecular Biology (433 citations), Aquatic Science (34 citations) and Genetics (79 citations). G. Rainaldi has collaborated with scholars based in Italy. Frequent co-authors include Palmiro Cantatore, M. N. Gadaleta, Marina Roberti, Cecilia Saccone, Francesco Milella, Angela Maria Serena Lezza, Flavio Fracasso, Cecilia Saccone, Ivana Magnani and A Agresti. Their work appears in journals such as Gene, Nucleic Acids Research, Biochimica et Biophysica Acta (BBA) - Bioenergetics, Theoretical and Applied Genetics and Mutation Research/DNAging.
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.