G. Goi
Impact in
- Physiology top 10%
- Lysosomal Storage Disorders Research
- Erythrocyte Function and Pathophysiology
-
- Cellular transport and secretion
Papers in
- Physiology 29
- Lysosomal Storage Disorders Research 24
- Erythrocyte Function and Pathophysiology 4
- Co-authors
- Guido Tettamanti (28 shared papers)Adriana Lombardo (20 shared papers)Luca Massaccesi (22 shared papers)Alberto Burlina (15 shared papers)Luigi Caimi (4 shared papers)Sergio Marchesini (2 shared papers)Bruno Venerando (6 shared papers)Alessandra Fabi (9 shared papers)
- Journals
- Clinica Chimica Acta (14 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (3 papers)Acta Diabetologica (3 papers)Clinical Biochemistry (3 papers)Disease Markers (2 papers)
- Partner nations
- ItalyUnited States
In The Last Decade
G. Goi
48 papers receiving 577 citations
Peers
Comparison fields: 5 of 87
- Physiology 259
- Physiology 34
- Cell Biology 83
- Endocrinology, Diabetes and Metabolism 82
- Pediatrics, Perinatology and Child Health 71
Countries citing papers authored by G. Goi
This map shows the geographic impact of G. Goi'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. Goi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Goi more than expected).
Fields of papers citing papers by G. Goi
This network shows the impact of papers produced by G. Goi. 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. Goi. The network helps show where G. Goi may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Goi, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 57 | |
| 2 | 2002 | 47 | |
| 3 | 1981 | 31 | |
| 4 | 2016 | 30 | |
| 5 | 2004 | 26 | |
| 6 | 2012 | 23 | |
| 7 | 1987 | 22 | |
| 8 | 1986 | 22 | |
| 9 | 2017 | 22 | |
| 10 | 1984 | 21 | |
| 11 | 2000 | 19 | |
| 12 | 1994 | 18 | |
| 13 | 1982 | 16 | |
| 14 | 2019 | 14 | |
| 15 | 1999 | 14 | |
| 16 | 2007 | 13 | |
| 17 | 1996 | 13 | |
| 18 | 2006 | 12 | |
| 19 | 2017 | 11 | |
| 20 | 1987 | 11 |
About G. Goi
G. Goi is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Cell Biology, having authored 48 papers that have together received 597 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (24 papers), Neonatal Health and Biochemistry (7 papers), Cellular transport and secretion (7 papers), Glycosylation and Glycoproteins Research (6 papers), Pancreatic function and diabetes (5 papers), Pancreatitis Pathology and Treatment (4 papers), Diabetes and associated disorders (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Physiology (259 citations), Physiology (34 citations), Cell Biology (83 citations), Endocrinology, Diabetes and Metabolism (82 citations) and Pediatrics, Perinatology and Child Health (71 citations). G. Goi has collaborated with scholars based in Italy and United States. Frequent co-authors include Guido Tettamanti, Adriana Lombardo, Luca Massaccesi, Alberto Burlina, Luigi Caimi, Sergio Marchesini, Bruno Venerando, Alessandra Fabi, A. Lombardo and Cristina Tringali. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry and Laboratory Medicine (CCLM), Acta Diabetologica, Clinical Biochemistry and Disease Markers.
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.