Richard M. Epand
- Microbiology top 0.01%
- Antimicrobial Peptides and Activities 64
- Molecular Biology top 0.05%
- Lipid Membrane Structure and Behavior 285
- Protein Structure and Dynamics 57
- RNA Interference and Gene Delivery 47
- Protein Kinase Regulation and GTPase Signaling 32
- Sphingolipid Metabolism and Signaling 28
- Virology top 0.5%
- Biochemistry top 0.2%
- Lipid metabolism and biosynthesis 37
- Cell Biology top 0.5%
- Cellular transport and secretion 38
- Co-authors
- Raquel F. EpandHans J. VogelPaul B. SavageMatthew K. TophamRemo BottegaHarold A. ScheragaDavid P. SiegelSamuel H. Gellman
- Journals
- Chemical Reviews (2 papers)Proceedings of the National Academy of Sciences (6 papers)Journal of the American Chemical Society (6 papers)
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Richard M. Epand
537 papers receiving 24.8k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Microbiology 5.9k
- Molecular Biology 19.2k
- Virology 825
- Biochemistry 1.2k
- Cell Biology 2.1k
Countries citing papers authored by Richard M. Epand
This map shows the geographic impact of Richard M. Epand'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 Richard M. Epand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard M. Epand more than expected).
Fields of papers citing papers by Richard M. Epand
This network shows the impact of papers produced by Richard M. Epand. 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 Richard M. Epand. The network helps show where Richard M. Epand may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard M. Epand, 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 | 2023 | 7 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 97 | |
| 5 | 2019 | 55 | |
| 6 | 2019 | 63 | |
| 7 | The biophysics of cell membranes: biological consequences | 2017 | 11 |
| 8 | 2017 | 24 | |
| 9 | 2014 | 46 | |
| 10 | 2012 | 85 | |
| 11 | 2011 | 56 | |
| 12 | 2010 | 61 | |
| 13 | 2010 | 160 | |
| 14 | 2006 | 83 | |
| 15 | 2005 | 30 | |
| 16 | 1996 | 54 | |
| 17 | 1996 | 29 | |
| 18 | EFFECT OF CHOLESTEROL ON RETINAL ROD OUTER SEGMENT DISK MEMBRANES | 1994 | 1 |
| 19 | 1992 | 8 | |
| 20 | 1991 | 68 |
About Richard M. Epand
Richard M. Epand is a scholar working on Microbiology, Molecular Biology and Biochemistry, having authored 541 papers that have together received 25.4k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (285 papers), Antimicrobial Peptides and Activities (64 papers), Protein Structure and Dynamics (57 papers), RNA Interference and Gene Delivery (47 papers), Cellular transport and secretion (38 papers), Lipid metabolism and biosynthesis (37 papers), Protein Kinase Regulation and GTPase Signaling (32 papers) and Sphingolipid Metabolism and Signaling (28 papers). The work is most often cited by research in Microbiology (5.9k citations), Molecular Biology (19.2k citations) and Virology (825 citations). Richard M. Epand has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Raquel F. Epand, Hans J. Vogel, Paul B. Savage, Matthew K. Topham, Remo Bottega, Harold A. Scheraga, David P. Siegel, Samuel H. Gellman, Brian G. Sayer and Nathan A. Magarvey. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.