Giovanni Tulipano
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology top 10%
- Physiology top 10%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Daniela CocchiStefan SchulzAnna Maria CaroliV. SibiliaAndrea GiustinaHans‐Jürgen KreienkampMarco RusnatiMarco Presta
- Topics
- Growth Hormone and Insulin-like Growth Factors (14 papers)Metabolism, Diabetes, and Cancer (10 papers)Cancer, Hypoxia, and Metabolism (9 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giovanni Tulipano
47 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 891
- Endocrinology, Diabetes and Metabolism 379
- Epidemiology 360
- Physiology 290
- Endocrine and Autonomic Systems 241
Countries citing papers authored by Giovanni Tulipano
This map shows the geographic impact of Giovanni Tulipano'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 Giovanni Tulipano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Tulipano more than expected).
Fields of papers citing papers by Giovanni Tulipano
This network shows the impact of papers produced by Giovanni Tulipano. 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 Giovanni Tulipano. The network helps show where Giovanni Tulipano may publish in the future.
Co-authorship network of co-authors of Giovanni Tulipano
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Tulipano. A scholar is included among the top collaborators of Giovanni Tulipano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giovanni Tulipano. Giovanni Tulipano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 179 | |
| 4 | 18 | |
| 5 | 2 | |
| 6 | Effects of the combined treatment with AMPK activator and somatostatin-14 on hormone secretion and cell proliferation in cultured GH-secreting pituitary tumor cells | 1 |
| 7 | 14 | |
| 8 | 12 | |
| 9 | 11 | |
| 10 | 21 | |
| 11 | 15 | |
| 12 | 15 | |
| 13 | 55 | |
| 14 | 9 | |
| 15 | 148 | |
| 16 | 41 | |
| 17 | 51 | |
| 18 | 96 | |
| 19 | 12 | |
| 20 | 25 |
About Giovanni Tulipano
Giovanni Tulipano is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), Metabolism, Diabetes, and Cancer (10 papers) and Cancer, Hypoxia, and Metabolism (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (241 citations), Endocrinology, Diabetes and Metabolism (379 citations) and Virology (76 citations). Giovanni Tulipano has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Daniela Cocchi, Stefan Schulz, Anna Maria Caroli, V. Sibilia, Andrea Giustina, Hans‐Jürgen Kreienkamp, Marco Rusnati, Marco Presta, Elena Tanghetti and Lara Faggi. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.
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.