Samira Daniel
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
Papers in
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- Lipid metabolism and biosynthesis 5
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- Cancer, Lipids, and Metabolism 5
- 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 S. Broyles (1 shared paper)Mitsuhiko Noda (4 shared papers)Anna A DePaoli-Roach (1 shared paper)Hai‐Ying Mary Cheng (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Diabetes (2 papers)Endocrinology (2 papers)European Journal of Biochemistry (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Samira Daniel
15 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 78
- Biochemistry 133
- Cancer Research 171
- Surgery 428
- Cell Biology 135
- Endocrinology, Diabetes and Metabolism 127
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 | 281 | |
| 2 | 2002 | 228 | |
| 3 | 1996 | 197 | |
| 4 | 1999 | 171 | |
| 5 | 1996 | 104 | |
| 6 | 2008 | 84 | |
| 7 | 2002 | 66 | |
| 8 | 1996 | 61 | |
| 9 | 2002 | 58 | |
| 10 | 1994 | 51 | |
| 11 | 2004 | 36 | |
| 12 | 2003 | 32 | |
| 13 | 2002 | 24 | |
| 14 | 2001 | 7 | |
| 15 | 1996 | 4 |
About Samira Daniel
Samira Daniel is a scholar working on Biochemistry, Cancer Research, Cell Biology, Surgery and Molecular Biology, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Lipid metabolism and biosynthesis (5 papers), Cancer, Lipids, and Metabolism (5 papers), Cellular transport and secretion (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Receptor Mechanisms and Signaling (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Biochemistry (133 citations), Cancer Research (171 citations), Surgery (428 citations), Cell Biology (135 citations) and Endocrinology, Diabetes and Metabolism (127 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 S. Broyles, Mitsuhiko Noda, Anna A DePaoli-Roach, Hai‐Ying Mary Cheng, Hiroki Yajima and Thomas Schermerhorn. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Endocrinology, European Journal of Biochemistry 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.