G.A. Puca
Impact in
- Genetics top 5%
- Estrogen and related hormone effects
-
- Hormonal and reproductive studies
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 5
- Protein Hydrolysis and Bioactive Peptides 2
- Genetics 12
- Estrogen and related hormone effects 11
- Co-authors
- Francesco Bresciani (10 shared papers)E. Nola (9 shared papers)V. Sica (8 shared papers)Anna Maria Molinari (10 shared papers)Nicola Medici (6 shared papers)E. V. Jensen (4 shared papers)Bruno Moncharmont (5 shared papers)Vincenzo Nigro (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nature (3 papers)Journal of Biological Chemistry (2 papers)Biochemistry (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- ItalyUnited StatesIsrael
In The Last Decade
G.A. Puca
26 papers receiving 811 citations
Peers
Comparison fields: 5 of 82
- Genetics 463
- Endocrinology, Diabetes and Metabolism 150
- Toxicology 25
- Molecular Biology 501
- Animal Science and Zoology 73
Countries citing papers authored by G.A. Puca
This map shows the geographic impact of G.A. Puca'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.A. Puca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.A. Puca more than expected).
Fields of papers citing papers by G.A. Puca
This network shows the impact of papers produced by G.A. Puca. 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.A. Puca. The network helps show where G.A. Puca may publish in the future.
Co-authors
The 25 scholars most cited alongside G.A. Puca, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1977 | 159 | |
| 2 | 1968 | 135 | |
| 3 | 1977 | 74 | |
| 4 | 1969 | 68 | |
| 5 | 1969 | 59 | |
| 6 | 1969 | 55 | |
| 7 | 1975 | 52 | |
| 8 | 2001 | 51 | |
| 9 | 1973 | 48 | |
| 10 | Estradiol induces functional inactivation of p53 by intracellular redistribution. | 2000 | 47 |
| 11 | 1980 | 42 | |
| 12 | 1986 | 33 | |
| 13 | 1971 | 29 | |
| 14 | 1980 | 26 | |
| 15 | 2001 | 19 | |
| 16 | 1968 | 16 | |
| 17 | 1970 | 14 | |
| 18 | 1971 | 11 | |
| 19 | 1981 | 10 | |
| 20 | 1991 | 9 |
About G.A. Puca
G.A. Puca is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Endocrinology, Diabetes and Metabolism and Health, Toxicology and Mutagenesis, having authored 26 papers that have together received 982 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Hormonal and reproductive studies (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Pharmacological Effects and Assays (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Cancer-related Molecular Pathways (2 papers) and Meat and Animal Product Quality (2 papers). The work is most often cited by research in Genetics (463 citations), Endocrinology, Diabetes and Metabolism (150 citations), Toxicology (25 citations), Molecular Biology (501 citations) and Animal Science and Zoology (73 citations). G.A. Puca has collaborated with scholars based in Italy, United States and Israel. Frequent co-authors include Francesco Bresciani, E. Nola, V. Sica, Anna Maria Molinari, Nicola Medici, E. V. Jensen, Bruno Moncharmont, Vincenzo Nigro, Ciro Abbondanza and Urszula Hibner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Journal of Biological Chemistry, Biochemistry and Annals of the New York Academy of Sciences.
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.