Samir S. Deeb
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Physiology top 1%
- Adipose Tissue and Metabolism
- Alzheimer's disease research and treatments
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 19
- Cell Biology 19
- melanin and skin pigmentation 12
- Co-authors
- Johan AuwerxLluís FajasMarkku LaaksoReiling PengWilfred Y. FujimotoJohn D. BrunzellJussi PihlajamäkiMasami Nemoto
- Journals
- Journal of Lipid Research (9 papers)Biochemistry (6 papers)Arteriosclerosis Thrombosis and Vascular Biology (6 papers)Journal of Biological Chemistry (5 papers)Diabetes Care (4 papers)
- Partner nations
- United StatesFinlandFrance
In The Last Decade
Samir S. Deeb
114 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Endocrinology, Diabetes and Metabolism 1.5k
- Physiology 1.7k
- Molecular Biology 4.3k
- Biochemistry 456
- Cancer Research 811
Countries citing papers authored by Samir S. Deeb
This map shows the geographic impact of Samir S. Deeb'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 Samir S. Deeb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samir S. Deeb more than expected).
Fields of papers citing papers by Samir S. Deeb
This network shows the impact of papers produced by Samir S. Deeb. 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 Samir S. Deeb. The network helps show where Samir S. Deeb may publish in the future.
Co-authors
The 25 scholars most cited alongside Samir S. Deeb, 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 | Regulation of Retinal Gene Expression by Thyroid Hormone and it Receptors During Mouse Development | 2011 | 1 |
| 2 | 2008 | 41 | |
| 3 | 2007 | 24 | |
| 4 | 2006 | 34 | |
| 5 | 2005 | 4 | |
| 6 | 2003 | 27 | |
| 7 | 2000 | 36 | |
| 8 | 2000 | 45 | |
| 9 | 2000 | 42 | |
| 10 | 1999 | 5 | |
| 11 | 1999 | 78 | |
| 12 | 1997 | 16 | |
| 13 | 1997 | 203 | |
| 14 | 1996 | 28 | |
| 15 | 1996 | 30 | |
| 16 | 1995 | 24 | |
| 17 | 1993 | 80 | |
| 18 | 1993 | 1 | |
| 19 | 1993 | 30 | |
| 20 | 1992 | 1 |
About Samir S. Deeb
Samir S. Deeb is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Biochemistry, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 115 papers that have together received 7.3k indexed citations. Recurring topics across this work include Retinal Development and Disorders (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Lipid metabolism and disorders (17 papers), Metabolism, Diabetes, and Cancer (13 papers), Lipoproteins and Cardiovascular Health (12 papers), melanin and skin pigmentation (12 papers), Pancreatic function and diabetes (12 papers) and Alzheimer's disease research and treatments (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Physiology (1.7k citations), Molecular Biology (4.3k citations), Biochemistry (456 citations) and Cancer Research (811 citations). Samir S. Deeb has collaborated with scholars based in United States, Finland and France. Frequent co-authors include Johan Auwerx, Lluís Fajas, Markku Laakso, Reiling Peng, Wilfred Y. Fujimoto, John D. Brunzell, Jussi Pihlajamäki, Masami Nemoto, Alberto Zambon and Johanna Kuusisto. Their work appears in journals such as Journal of Lipid Research, Biochemistry, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Biological Chemistry and Diabetes Care.
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.