Daniel Feltrin
Impact in
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
-
- Melanoma and MAPK Pathways 1
- Retinal Development and Disorders 1
- Metabolism, Diabetes, and Cancer 1
-
- Neuroscience and Neuropharmacology Research 1
- Co-authors
- Olivier Pertz (3 shared papers)Blerina Kola (2 shared papers)Ashley Grossman (2 shared papers)Márta Korbonits (2 shared papers)Kyung‐Jin Jang (1 shared paper)Min Sung Kim (1 shared paper)Noo Li Jeon (1 shared paper)Kahp‐Yang Suh (1 shared paper)
- Journals
- Molecular and Cellular Endocrinology (2 papers)The FASEB Journal (1 paper)Peptides (1 paper)PLoS Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Daniel Feltrin
7 papers receiving 359 citations
Peers
Comparison fields: 5 of 66
- Endocrine and Autonomic Systems 68
- Endocrinology, Diabetes and Metabolism 85
- Developmental Neuroscience 17
- Cell Biology 65
- Cellular and Molecular Neuroscience 67
Countries citing papers authored by Daniel Feltrin
This map shows the geographic impact of Daniel Feltrin'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 Daniel Feltrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Feltrin more than expected).
Fields of papers citing papers by Daniel Feltrin
This network shows the impact of papers produced by Daniel Feltrin. 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 Daniel Feltrin. The network helps show where Daniel Feltrin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Feltrin, 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 | 2008 | 144 | |
| 2 | 2010 | 88 | |
| 3 | 2012 | 56 | |
| 4 | 2012 | 44 | |
| 5 | 2009 | 23 | |
| 6 | 2011 | 9 | |
| 7 | 2007 | 4 |
About Daniel Feltrin
Daniel Feltrin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 7 papers that have together received 368 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (2 papers), Melanoma and MAPK Pathways (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Retinal Development and Disorders (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper), Cancer, Stress, Anesthesia, and Immune Response (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (68 citations), Endocrinology, Diabetes and Metabolism (85 citations), Developmental Neuroscience (17 citations), Cell Biology (65 citations) and Cellular and Molecular Neuroscience (67 citations). Daniel Feltrin has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Olivier Pertz, Blerina Kola, Ashley Grossman, Márta Korbonits, Kyung‐Jin Jang, Min Sung Kim, Noo Li Jeon, Kahp‐Yang Suh, Csaba Fekete and Chung Thong Lim. Their work appears in journals such as Molecular and Cellular Endocrinology, The FASEB Journal, Peptides, PLoS Biology 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.