Roberto Towns
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in
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- Growth Hormone and Insulin-like Growth Factors 5
- Diabetes Management and Research 2
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- Metabolism, Diabetes, and Cancer 3
- Co-authors
- John Wiley (6 shared papers)Massimo Pietropaolo (3 shared papers)Piero Marchetti (1 shared paper)Claudio González (1 shared paper)Hirotaka Watada (1 shared paper)Myung‐Shik Lee (1 shared paper)María I. Vaccaro (1 shared paper)George S. Eisenbarth (1 shared paper)
- Journals
- Endocrinology (5 papers)Autophagy (3 papers)Biology of Reproduction (2 papers)Molecular and Cellular Endocrinology (2 papers)Neuroreport (1 paper)
- Partner nations
- United StatesItalyIndia
In The Last Decade
Roberto Towns
25 papers receiving 711 citations
Peers
Comparison fields: 5 of 72
- Endocrinology, Diabetes and Metabolism 154
- Clinical Biochemistry 49
- Reproductive Medicine 52
- Cell Biology 96
- Agronomy and Crop Science 61
Countries citing papers authored by Roberto Towns
This map shows the geographic impact of Roberto Towns'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 Roberto Towns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Towns more than expected).
Fields of papers citing papers by Roberto Towns
This network shows the impact of papers produced by Roberto Towns. 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 Roberto Towns. The network helps show where Roberto Towns may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Towns, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 250 | |
| 2 | 2001 | 72 | |
| 3 | 2012 | 68 | |
| 4 | 2005 | 54 | |
| 5 | 1999 | 53 | |
| 6 | 2005 | 26 | |
| 7 | 2005 | 23 | |
| 8 | 1991 | 22 | |
| 9 | 1991 | 20 | |
| 10 | 2008 | 19 | |
| 11 | 1992 | 19 | |
| 12 | 2000 | 16 | |
| 13 | 1999 | 13 | |
| 14 | 1994 | 12 | |
| 15 | 2005 | 10 | |
| 16 | 2008 | 10 | |
| 17 | 2005 | 9 | |
| 18 | 2008 | 7 | |
| 19 | 1990 | 7 | |
| 20 | 1994 | 6 |
About Roberto Towns
Roberto Towns is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Genetics and Surgery, having authored 25 papers that have together received 729 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Pancreatic function and diabetes (5 papers), Adipose Tissue and Metabolism (4 papers), Autophagy in Disease and Therapy (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Estrogen and related hormone effects (3 papers), Diet and metabolism studies (3 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (154 citations), Clinical Biochemistry (49 citations), Reproductive Medicine (52 citations), Cell Biology (96 citations) and Agronomy and Crop Science (61 citations). Roberto Towns has collaborated with scholars based in United States, Italy and India. Frequent co-authors include John Wiley, Massimo Pietropaolo, Piero Marchetti, Claudio González, Hirotaka Watada, Myung‐Shik Lee, María I. Vaccaro, George S. Eisenbarth, P. Landis Keyes and Jack L. Kostyo. Their work appears in journals such as Endocrinology, Autophagy, Biology of Reproduction, Molecular and Cellular Endocrinology and Neuroreport.
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.