David E. Saslowsky
- Endocrinology top 2%
- Escherichia coli research studies 3
- Cell Biology top 5%
- Caveolin-1 and cellular processes 3
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior 14
- Sphingolipid Metabolism and Signaling 7
- Plant Gene Expression Analysis 4
- Plant biochemistry and biosynthesis 3
- Glycosylation and Glycoproteins Research 2
- Biochemistry top 10%
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- Erythrocyte Function and Pathophysiology 5
- Co-authors
- A. WinkelWayne I. LencerJ. Michael EdwardsonRobert M. HendersonDaniel J.‐F. ChinnapenUjwala WarekXiaoyan RenDeborah A. Brown
- Journals
- Journal of Biological Chemistry (3 papers)The Journal of Membrane Biology (2 papers)The FASEB Journal (1 paper)
- Partner nations
- United StatesUnited KingdomBangladesh
In The Last Decade
David E. Saslowsky
22 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 106
- Endocrinology 173
- Cell Biology 307
- Molecular Biology 1.2k
- Biochemistry 81
- Immunology 175
Countries citing papers authored by David E. Saslowsky
This map shows the geographic impact of David E. Saslowsky'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 David E. Saslowsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Saslowsky more than expected).
Fields of papers citing papers by David E. Saslowsky
This network shows the impact of papers produced by David E. Saslowsky. 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 David E. Saslowsky. The network helps show where David E. Saslowsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David E. Saslowsky, 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 | 2015 | 4 | |
| 2 | 2015 | 47 | |
| 3 | 2014 | 55 | |
| 4 | 2013 | 48 | |
| 5 | 2012 | 105 | |
| 6 | 2010 | 66 | |
| 7 | 2010 | 47 | |
| 8 | 2008 | 9 | |
| 9 | 2007 | 22 | |
| 10 | 2006 | 184 | |
| 11 | 2005 | 90 | |
| 12 | 2005 | 178 | |
| 13 | 2004 | 53 | |
| 14 | 2003 | 187 | |
| 15 | 2003 | 25 | |
| 16 | 2002 | 25 | |
| 17 | 2002 | 139 | |
| 18 | 2001 | 155 | |
| 19 | 2000 | 53 | |
| 20 | 1997 | 33 |
About David E. Saslowsky
David E. Saslowsky is a scholar working on Endocrinology, Molecular Biology, Cell Biology, Physiology and Biochemistry, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (14 papers), Sphingolipid Metabolism and Signaling (7 papers), Erythrocyte Function and Pathophysiology (5 papers), Plant Gene Expression Analysis (4 papers), Plant biochemistry and biosynthesis (3 papers), Caveolin-1 and cellular processes (3 papers), Escherichia coli research studies (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Endocrinology (173 citations), Cell Biology (307 citations), Molecular Biology (1.2k citations), Biochemistry (81 citations) and Immunology (175 citations). David E. Saslowsky has collaborated with scholars based in United States, United Kingdom and Bangladesh. Frequent co-authors include A. Winkel, Wayne I. Lencer, J. Michael Edwardson, Robert M. Henderson, Daniel J.‐F. Chinnapen, Ujwala Warek, Xiaoyan Ren, Deborah A. Brown, Jessica Wagner and Nicholas A. Geisse. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Membrane Biology, The FASEB Journal, Gene and Physiology.
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.