G. Secchi
Impact in
-
- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Hormonal Regulation and Hypertension
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- Genetics 4
- Diabetes and associated disorders 3
- Genetic diversity and population structure 1
- Co-authors
- P. Brizzi (5 shared papers)Margherita Maioli (5 shared papers)Giancarlo Tonolo (7 shared papers)M. Ciccarese (5 shared papers)Maria Grazia Melis (4 shared papers)Mario Maioli (4 shared papers)Antonio Solinas (1 shared paper)Salvatore Dessole (1 shared paper)
- Journals
- American Journal of Physiology-Endocrinology and Metabolism (2 papers)Endocrine Research (1 paper)Diabetologia (1 paper)Hepatology Research (1 paper)European Journal of Endocrinology (1 paper)
- Partner nations
- ItalySwedenUnited States
In The Last Decade
G. Secchi
14 papers receiving 461 citations
Peers
Comparison fields: 5 of 71
- Endocrinology, Diabetes and Metabolism 149
- Nephrology 50
- Surgery 151
- Genetics 97
- Physiology 78
Countries citing papers authored by G. Secchi
This map shows the geographic impact of G. Secchi'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. Secchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Secchi more than expected).
Fields of papers citing papers by G. Secchi
This network shows the impact of papers produced by G. Secchi. 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. Secchi. The network helps show where G. Secchi may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Secchi, 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 | 131 | |
| 2 | 2002 | 94 | |
| 3 | 2010 | 67 | |
| 4 | 1995 | 45 | |
| 5 | 1999 | 30 | |
| 6 | 2020 | 24 | |
| 7 | 2018 | 22 | |
| 8 | 1997 | 21 | |
| 9 | 2016 | 14 | |
| 10 | 2002 | 13 | |
| 11 | HLA phenotype and haplotype frequencies in Sardinia (Italy). | 1997 | 7 |
| 12 | 1998 | 5 | |
| 13 | 2011 | 2 | |
| 14 | 2021 | 1 |
About G. Secchi
G. Secchi is a scholar working on Molecular Biology, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Physiology, having authored 14 papers that have together received 476 indexed citations. Recurring topics across this work include Diabetes and associated disorders (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Adipose Tissue and Metabolism (2 papers), Genetic diversity and population structure (1 paper), Allergic Rhinitis and Sensitization (1 paper), Contact Dermatitis and Allergies (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (149 citations), Nephrology (50 citations), Surgery (151 citations), Genetics (97 citations) and Physiology (78 citations). G. Secchi has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include P. Brizzi, Margherita Maioli, Giancarlo Tonolo, M. Ciccarese, Maria Grazia Melis, Mario Maioli, Antonio Solinas, Salvatore Dessole, Giovanni Mario Pes and Giuseppe Delitala. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Endocrine Research, Diabetologia, Hepatology Research 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.