David E. Saslowsky

2.0k citations
22 papers · 1.6k · h-index 19

Impact in

Papers in

    • 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
    • Erythrocyte Function and Pathophysiology 5

David E. Saslowsky

22 papers receiving 1.6k citations

Peers

David E. Saslowsky
Comparison fields: 5 of 104
  • Endocrinology 172
  • Cell Biology 304
  • Molecular Biology 1.2k
  • Biochemistry 75
  • Immunology 168
Replace Jeffrey S. Rush with:
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Abhay H. Pande India
Jing Song China
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Andrzej Rapak Poland
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Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by David E. Saslowsky

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with David E. Saslowsky Line = papers co-authored together David E. Saslowsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003189
2 2006184
3 2005182
4 2001155
5 2002140
6 2012106
7 200591
8 201068
9 201458
10 200053
11 200453
12 200848
13 201348
14 201548
15 201047
16 199733
17 200225
18 200325
19 200722
20 200810

About David E. Saslowsky

David E. Saslowsky is a scholar working on Molecular Biology, Physiology, Cell Biology, Endocrinology and Infectious Diseases, 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), Escherichia coli research studies (3 papers), Caveolin-1 and cellular processes (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Endocrinology (172 citations), Cell Biology (304 citations), Molecular Biology (1.2k citations), Biochemistry (75 citations) and Immunology (168 citations). David E. Saslowsky has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include A. Winkel, Wayne I. Lencer, J. Michael Edwardson, Robert M. Henderson, Daniel J.‐F. Chinnapen, Ujwala Warek, Deborah A. Brown, Xiaoyan Ren, Jessica Wagner and Nicholas A. Geisse. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Membrane Biology, Developmental Cell, Gene and The FASEB Journal.

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.

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