Samira Daniel
Impact in
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- Diabetes Management and Research
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
- Glycosylation and Glycoproteins Research 2
- Metabolism, Diabetes, and Cancer 2
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- Biotin and Related Studies 4
- Cellular transport and secretion 4
- Co-authors
- Ki-Han Kim (3 shared papers)Geoffrey W.G. Sharp (6 shared papers)Joohun Ha (3 shared papers)Susanne G. Straub (3 shared papers)Steven Broyles (1 shared paper)Mitsuhiko Noda (4 shared papers)Shao-ying Zhang (1 shared paper)Anna Depaoli-Roach (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Diabetes (2 papers)Endocrinology (2 papers)Clinical Chemistry (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Samira Daniel
16 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Endocrinology, Diabetes and Metabolism 279
- Cell Biology 281
- Surgery 507
- Molecular Biology 848
- Physiology 54
Countries citing papers authored by Samira Daniel
This map shows the geographic impact of Samira Daniel'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 Samira Daniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samira Daniel more than expected).
Fields of papers citing papers by Samira Daniel
This network shows the impact of papers produced by Samira Daniel. 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 Samira Daniel. The network helps show where Samira Daniel may publish in the future.
Co-authors
The 25 scholars most cited alongside Samira Daniel, 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 | 1994 | 274 | |
| 2 | 2002 | 226 | |
| 3 | 1996 | 200 | |
| 4 | 1999 | 170 | |
| 5 | 1996 | 105 | |
| 6 | 2008 | 82 | |
| 7 | 2002 | 66 | |
| 8 | 1996 | 64 | |
| 9 | 2002 | 59 | |
| 10 | 1994 | 51 | |
| 11 | 2004 | 37 | |
| 12 | 2003 | 33 | |
| 13 | 2002 | 24 | |
| 14 | 1987 | 21 | |
| 15 | 2001 | 7 | |
| 16 | 1996 | 4 |
About Samira Daniel
Samira Daniel is a scholar working on Molecular Biology, Cell Biology, Surgery, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Biotin and Related Studies (4 papers), Cellular transport and secretion (4 papers), Diabetes Management and Research (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Glycosylation and Glycoproteins Research (2 papers), Metabolism and Genetic Disorders (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (279 citations), Cell Biology (281 citations), Surgery (507 citations), Molecular Biology (848 citations) and Physiology (54 citations). Samira Daniel has collaborated with scholars based in United States and Japan. Frequent co-authors include Ki-Han Kim, Geoffrey W.G. Sharp, Joohun Ha, Susanne G. Straub, Steven Broyles, Mitsuhiko Noda, Shao-ying Zhang, Anna Depaoli-Roach, Subhadra C. Gunawardana and Hiroki Yajima. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Endocrinology, Clinical Chemistry and Biochemical and Biophysical Research Communications.
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.