G. Verde
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- Nuclear physics research studies 33
- High-Energy Particle Collisions Research 13
- Quantum Chromodynamics and Particle Interactions 11
- Astronomical and nuclear sciences 7
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- Pituitary Gland Disorders and Treatments 13
- Growth Hormone and Insulin-like Growth Factors 10
- Radiation top 5%
- Nuclear Physics and Applications 11
- Aerospace Engineering top 5%
- Nuclear reactor physics and engineering 9
- Astronomy and Astrophysics top 10%
- Co-authors
- W. G. LynchM. B. TsangX. XuAntonio LiuzziG. OppizziWilliam A. FriedmanC. K. GelbkeD. Dallabonzana
- Journals
- The Journal of Clinical Endocrinology & Metabolism (7 papers)Physical review. C (6 papers)Physical Review Letters (4 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
G. Verde
61 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 103
- Nuclear and High Energy Physics 1.2k
- Endocrinology, Diabetes and Metabolism 535
- Radiation 230
- Aerospace Engineering 317
- Astronomy and Astrophysics 188
Countries citing papers authored by G. Verde
This map shows the geographic impact of G. Verde'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. Verde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Verde more than expected).
Fields of papers citing papers by G. Verde
This network shows the impact of papers produced by G. Verde. 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. Verde. The network helps show where G. Verde may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. Verde, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 3 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 20 | |
| 14 | 2016 | 5 | |
| 15 | 2014 | 0 | |
| 16 | 2009 | 15 | |
| 17 | 2003 | 20 | |
| 18 | 2001 | 215 | |
| 19 | 1995 | 49 | |
| 20 | 1994 | 94 |
About G. Verde
G. Verde is a scholar working on Nuclear and High Energy Physics, Radiation and Endocrinology, Diabetes and Metabolism, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nuclear physics research studies (33 papers), High-Energy Particle Collisions Research (13 papers), Pituitary Gland Disorders and Treatments (13 papers), Nuclear Physics and Applications (11 papers), Quantum Chromodynamics and Particle Interactions (11 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Nuclear reactor physics and engineering (9 papers) and Astronomical and nuclear sciences (7 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.2k citations), Endocrinology, Diabetes and Metabolism (535 citations) and Radiation (230 citations). G. Verde has collaborated with scholars based in Italy, United States and France. Frequent co-authors include W. G. Lynch, M. B. Tsang, X. Xu, Antonio Liuzzi, G. Oppizzi, William A. Friedman, C. K. Gelbke, D. Dallabonzana, Renato Cozzi and Bao-An Li. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Physical review. C, Physical Review Letters, Clinical Endocrinology and Nuclear Physics A.
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.