Daniel M. Raben
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Cell Biology top 2%
- Cellular transport and secretion
Papers in
- Biochemistry 19
- Lipid metabolism and biosynthesis 17
- Cell Biology 26
- Cellular transport and secretion 12
- Endoplasmic Reticulum Stress and Disease 10
- Co-authors
- Joseph J. BaldassareMelissa S. PessinJason D. WeberTimothy M. WrightBecky Tu‐SekineKaren L. LeachH S ShinMatt Jarpe
- Journals
- Journal of Biological Chemistry (17 papers)Advances in Biological Regulation (9 papers)Biochemical Journal (6 papers)Journal of Lipid Research (5 papers)Biochemistry (4 papers)
- Partner nations
- United StatesBelgiumRussia
In The Last Decade
Daniel M. Raben
75 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 107
- Biochemistry 351
- Cell Biology 629
- Sensory Systems 172
- Molecular Biology 2.2k
- Physiology 443
Countries citing papers authored by Daniel M. Raben
This map shows the geographic impact of Daniel M. Raben'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 M. Raben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Raben more than expected).
Fields of papers citing papers by Daniel M. Raben
This network shows the impact of papers produced by Daniel M. Raben. 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 M. Raben. The network helps show where Daniel M. Raben may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel M. Raben, 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 | 2022 | 7 | |
| 2 | 2022 | 5 | |
| 3 | 2019 | 125 | |
| 4 | 2016 | 9 | |
| 5 | 2016 | 47 | |
| 6 | 2014 | 36 | |
| 7 | 2013 | 14 | |
| 8 | 2012 | 14 | |
| 9 | 2012 | 14 | |
| 10 | 2011 | 38 | |
| 11 | 2010 | 243 | |
| 12 | 2009 | 10 | |
| 13 | 2006 | 112 | |
| 14 | 2002 | 11 | |
| 15 | 2002 | 6 | |
| 16 | 2001 | 46 | |
| 17 | 2000 | 6 | |
| 18 | 1997 | 167 | |
| 19 | 1997 | 75 | |
| 20 | 1991 | 12 |
About Daniel M. Raben
Daniel M. Raben is a scholar working on Biochemistry, Cell Biology, Molecular Biology, Hematology and Physiology, having authored 75 papers that have together received 3.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (31 papers), Lipid metabolism and biosynthesis (17 papers), Cellular transport and secretion (12 papers), Pancreatic function and diabetes (12 papers), Endoplasmic Reticulum Stress and Disease (10 papers), Lipid Membrane Structure and Behavior (9 papers), Adipose Tissue and Metabolism (8 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Biochemistry (351 citations), Cell Biology (629 citations), Sensory Systems (172 citations), Molecular Biology (2.2k citations) and Physiology (443 citations). Daniel M. Raben has collaborated with scholars based in United States, Belgium and Russia. Frequent co-authors include Joseph J. Baldassare, Melissa S. Pessin, Jason D. Weber, Timothy M. Wright, Becky Tu‐Sekine, Karen L. Leach, H S Shin, Matt Jarpe, Binks W. Wattenberg and Polly J. Phillips‐Mason. Their work appears in journals such as Journal of Biological Chemistry, Advances in Biological Regulation, Biochemical Journal, Journal of Lipid Research and Biochemistry.
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.