V Gatto
Impact in
-
- Hormonal and reproductive studies
- Natural Antidiabetic Agents Studies
- Hormonal Regulation and Hypertension
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Hormonal and reproductive studies 7
- Growth Hormone and Insulin-like Growth Factors 2
- Genetics 7
- Estrogen and related hormone effects 7
- Co-authors
- Enrico Brignardello (11 shared papers)Elena Tamagno (5 shared papers)Manuela Aragno (5 shared papers)Oliviero Danni (4 shared papers)G Boccuzzi (8 shared papers)Marco Gallo (7 shared papers)Marco Di Monaco (6 shared papers)L.S Leonardi (5 shared papers)
- Journals
- Journal of Endocrinology (2 papers)British Journal of Cancer (2 papers)International Journal of Oncology (1 paper)Free Radical Biology and Medicine (1 paper)European Journal of Endocrinology (1 paper)
- Partner nations
- Italy
In The Last Decade
V Gatto
11 papers receiving 427 citations
Peers
Comparison fields: 5 of 71
- Endocrinology, Diabetes and Metabolism 189
- Behavioral Neuroscience 30
- Clinical Biochemistry 37
- Biochemistry 23
- Reproductive Medicine 29
Countries citing papers authored by V Gatto
This map shows the geographic impact of V Gatto'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 V Gatto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V Gatto more than expected).
Fields of papers citing papers by V Gatto
This network shows the impact of papers produced by V Gatto. 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 V Gatto. The network helps show where V Gatto may publish in the future.
Co-authors
The 20 scholars most cited alongside V Gatto, 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 | 1997 | 124 | |
| 2 | 1999 | 109 | |
| 3 | 1997 | 54 | |
| 4 | 1998 | 46 | |
| 5 | 1994 | 33 | |
| 6 | 1999 | 28 | |
| 7 | 1998 | 19 | |
| 8 | 1993 | 10 | |
| 9 | Dihydrotestosterone affects the growth of hormone-unresponsive breast cancer cells: an indirect action. | 1996 | 10 |
| 10 | 1995 | 8 | |
| 11 | 1996 | 6 | |
| 12 | 2010 | 0 |
About V Gatto
V Gatto is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Pharmacology and Pharmacology, having authored 12 papers that have together received 447 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Hormonal and reproductive studies (7 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Pharmacology and Obesity Treatment (2 papers), Antioxidant Activity and Oxidative Stress (1 paper), Prostate Cancer Treatment and Research (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Retinal Diseases and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (189 citations), Behavioral Neuroscience (30 citations), Clinical Biochemistry (37 citations), Biochemistry (23 citations) and Reproductive Medicine (29 citations). V Gatto has collaborated with scholars based in Italy. Frequent co-authors include Enrico Brignardello, Elena Tamagno, Manuela Aragno, Oliviero Danni, G Boccuzzi, Marco Gallo, Marco Di Monaco, L.S Leonardi, Silvia Parola and Elena Beltramo. Their work appears in journals such as Journal of Endocrinology, British Journal of Cancer, International Journal of Oncology, Free Radical Biology and Medicine and European Journal of Endocrinology.
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.