Lisa C. Edsall
- Molecular Biology top 1%
- Cell Biology top 0.5%
- Physiology top 5%
- Immunology top 5%
- Biochemistry top 2%
- Co-authors
- Sarah SpiegelOlivier CuvillierTakafumi KohamaAna OliveraVictor E. NavaJames R. Van BrocklynSheldon MilstienSamantha Poulton
- Topics
- Sphingolipid Metabolism and Signaling (23 papers)Lipid Membrane Structure and Behavior (11 papers)Cellular transport and secretion (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Lisa C. Edsall
30 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 4.3k
- Cell Biology 1.8k
- Physiology 679
- Immunology 499
- Biochemistry 213
Countries citing papers authored by Lisa C. Edsall
This map shows the geographic impact of Lisa C. Edsall'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 Lisa C. Edsall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa C. Edsall more than expected).
Fields of papers citing papers by Lisa C. Edsall
This network shows the impact of papers produced by Lisa C. Edsall. 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 Lisa C. Edsall. The network helps show where Lisa C. Edsall may publish in the future.
Co-authorship network of co-authors of Lisa C. Edsall
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa C. Edsall. A scholar is included among the top collaborators of Lisa C. Edsall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lisa C. Edsall. Lisa C. Edsall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 61 | |
| 2 | 29 | |
| 3 | 58 | |
| 4 | 119 | |
| 5 | 168 | |
| 6 | 104 | |
| 7 | Sphingosine enhances apoptosis of radiation-resistant prostate cancer cells. | 138 |
| 8 | 154 | |
| 9 | Molecular Cloning and Functional Characterization of a Novel Mammalian Sphingosine Kinase Type 2 Isoformbreakdown → | 558 |
| 10 | 236 | |
| 11 | Sphingosine-1-phosphate inhibits motility of human breast cancer cells independently of cell surface receptors. | 80 |
| 12 | 5 | |
| 13 | 38 | |
| 14 | 167 | |
| 15 | 164 | |
| 16 | 188 | |
| 17 | 468 | |
| 18 | 436 | |
| 19 | 92 | |
| 20 | 138 |
About Lisa C. Edsall
Lisa C. Edsall is a scholar working on Cell Biology, Biochemistry and Molecular Biology, having authored 30 papers that have together received 4.8k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (23 papers), Lipid Membrane Structure and Behavior (11 papers) and Cellular transport and secretion (10 papers). The work is most often cited by research in Cell Biology (1.8k citations), Molecular Biology (4.3k citations) and Physiology (141 citations). Lisa C. Edsall has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Sarah Spiegel, Olivier Cuvillier, Takafumi Kohama, Ana Olivera, Victor E. Nava, James R. Van Brocklyn, Sheldon Milstien, Samantha Poulton, Grisha Pirianov and Hee‐Yong Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.