Dan Cassel
- Cell Biology top 0.2%
- Cellular transport and secretion 30
- Endoplasmic Reticulum Stress and Disease 7
- Physiology top 0.2%
- Calcium signaling and nucleotide metabolism 9
- Molecular Biology top 1%
- Lipid Membrane Structure and Behavior 18
- Ion Transport and Channel Regulation 11
- Protein Kinase Regulation and GTPase Signaling 6
- Ion channel regulation and function 6
- Endocrinology top 5%
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- Pancreatic function and diabetes 5
- Co-authors
- Zvi SelingerThomas PfeufferL GlaserMiriam RotmanIrit HuberEdna CukiermanJulie G. DonaldsonRichard Kahn
- Journals
- Journal of Biological Chemistry (20 papers)Proceedings of the National Academy of Sciences (8 papers)Methods in enzymology on CD-ROM/Methods in enzymology (3 papers)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Dan Cassel
66 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cell Biology 2.3k
- Physiology 588
- Molecular Biology 4.9k
- Cellular and Molecular Neuroscience 1.3k
- Endocrinology 149
Countries citing papers authored by Dan Cassel
This map shows the geographic impact of Dan Cassel'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 Dan Cassel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Cassel more than expected).
Fields of papers citing papers by Dan Cassel
This network shows the impact of papers produced by Dan Cassel. 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 Dan Cassel. The network helps show where Dan Cassel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Cassel, 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 | 2017 | 2 | |
| 2 | 2016 | 17 | |
| 3 | 2015 | 5 | |
| 4 | 2008 | 38 | |
| 5 | 2008 | 16 | |
| 6 | 2005 | 22 | |
| 7 | 2003 | 59 | |
| 8 | 2003 | 52 | |
| 9 | 2001 | 41 | |
| 10 | 2001 | 9 | |
| 11 | 2001 | 25 | |
| 12 | 2000 | 60 | |
| 13 | 1999 | 37 | |
| 14 | 1999 | 40 | |
| 15 | 1998 | 41 | |
| 16 | 1997 | 130 | |
| 17 | 1995 | 74 | |
| 18 | 1991 | 9 | |
| 19 | 1988 | 5 | |
| 20 | 1984 | 60 |
About Dan Cassel
Dan Cassel is a scholar working on Physiology, Cell Biology, Molecular Biology, Biochemistry and Cellular and Molecular Neuroscience, having authored 66 papers that have together received 6.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (30 papers), Lipid Membrane Structure and Behavior (18 papers), Ion Transport and Channel Regulation (11 papers), Calcium signaling and nucleotide metabolism (9 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Ion channel regulation and function (6 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Cell Biology (2.3k citations), Physiology (588 citations), Molecular Biology (4.9k citations), Cellular and Molecular Neuroscience (1.3k citations) and Endocrinology (149 citations). Dan Cassel has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Zvi Selinger, Thomas Pfeuffer, L Glaser, Miriam Rotman, Irit Huber, Edna Cukierman, Julie G. Donaldson, Richard Kahn, Paul Rothenberg and R D Klausner. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Methods in enzymology on CD-ROM/Methods in enzymology, The Journal of Cell Biology and Molecular Biology of the Cell.
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.