Daniel Fraga
Impact in
-
- Diabetes Management and Research
- Surgery top 5%
- Pancreatic function and diabetes
- Tissue Engineering and Regenerative Medicine
Papers in
- Surgery 36
- Pancreatic function and diabetes 34
-
- Diabetes Management and Research 17
- Co-authors
- A. Osama Gaber (35 shared papers)Omaima M. Sabek (29 shared papers)Aleksander Roberto Zampronio (10 shared papers)Malak Kotb (8 shared papers)Alessandro Grattoni (6 shared papers)Ram I. Mahato (3 shared papers)Donna Hathaway (3 shared papers)Glória Emília Petto de Souza (4 shared papers)
- Journals
- Transplantation (5 papers)Cell Transplantation (3 papers)Biomaterials (3 papers)Cell Biochemistry and Biophysics (3 papers)Endocrinology (2 papers)
- Partner nations
- United StatesBrazilItaly
In The Last Decade
Daniel Fraga
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Endocrinology, Diabetes and Metabolism 377
- Surgery 761
- Genetics 367
- Pharmacology 220
- Biological Psychiatry 25
Countries citing papers authored by Daniel Fraga
This map shows the geographic impact of Daniel Fraga'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 Fraga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fraga more than expected).
Fields of papers citing papers by Daniel Fraga
This network shows the impact of papers produced by Daniel Fraga. 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 Fraga. The network helps show where Daniel Fraga may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Fraga, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 74 | |
| 2 | 1998 | 72 | |
| 3 | 2004 | 68 | |
| 4 | 2017 | 65 | |
| 5 | 2015 | 61 | |
| 6 | 2003 | 56 | |
| 7 | 2014 | 56 | |
| 8 | 2001 | 54 | |
| 9 | 2018 | 47 | |
| 10 | 2013 | 47 | |
| 11 | 2016 | 44 | |
| 12 | 2004 | 41 | |
| 13 | 2005 | 39 | |
| 14 | 2020 | 39 | |
| 15 | 2011 | 39 | |
| 16 | 2009 | 30 | |
| 17 | 2007 | 29 | |
| 18 | 2003 | 28 | |
| 19 | 2004 | 27 | |
| 20 | 2016 | 24 |
About Daniel Fraga
Daniel Fraga is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Pharmacology, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (34 papers), Diabetes Management and Research (17 papers), Diabetes and associated disorders (15 papers), Cannabis and Cannabinoid Research (12 papers), Metabolism, Diabetes, and Cancer (7 papers), Neuropeptides and Animal Physiology (7 papers), Genetics and Neurodevelopmental Disorders (5 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (377 citations), Surgery (761 citations), Genetics (367 citations), Pharmacology (220 citations) and Biological Psychiatry (25 citations). Daniel Fraga has collaborated with scholars based in United States, Brazil and Italy. Frequent co-authors include A. Osama Gaber, Omaima M. Sabek, Aleksander Roberto Zampronio, Malak Kotb, Alessandro Grattoni, Ram I. Mahato, Donna Hathaway, Glória Emília Petto de Souza, James Henry and Ajit S. Narang. Their work appears in journals such as Transplantation, Cell Transplantation, Biomaterials, Cell Biochemistry and Biophysics and 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.