Faan Wen Bangerter
- Molecular Biology top 10%
- Cell Biology top 5%
- Surgery
- Physiology
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Robert R. RandoWilliam J. JohnsonElisabeth P.C. KilsdonkGenevieve StoudtMichael C. PhillipsGeorge H. RothblatPatricia G. YanceyG A Orr
- Topics
- Lipid Membrane Structure and Behavior (5 papers)Glycosylation and Glycoproteins Research (4 papers)Cholesterol and Lipid Metabolism (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesSwitzerland
In The Last Decade
Faan Wen Bangerter
17 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 816
- Cell Biology 231
- Surgery 222
- Physiology 162
- Cellular and Molecular Neuroscience 130
Countries citing papers authored by Faan Wen Bangerter
This map shows the geographic impact of Faan Wen Bangerter'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 Faan Wen Bangerter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faan Wen Bangerter more than expected).
Fields of papers citing papers by Faan Wen Bangerter
This network shows the impact of papers produced by Faan Wen Bangerter. 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 Faan Wen Bangerter. The network helps show where Faan Wen Bangerter may publish in the future.
Co-authorship network of co-authors of Faan Wen Bangerter
This figure shows the co-authorship network connecting the top 25 collaborators of Faan Wen Bangerter. A scholar is included among the top collaborators of Faan Wen Bangerter 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 Faan Wen Bangerter. Faan Wen Bangerter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 29 | |
| 3 | Cellular Cholesterol Efflux Mediated by Cyclodextrinsbreakdown → | 791 |
| 4 | 38 | |
| 5 | 2 | |
| 6 | 117 | |
| 7 | 2 | |
| 8 | 53 | |
| 9 | 9 | |
| 10 | 10 | |
| 11 | 16 | |
| 12 | 10 | |
| 13 | 55 | |
| 14 | 20 | |
| 15 | 16 | |
| 16 | 30 | |
| 17 | 78 |
About Faan Wen Bangerter
Faan Wen Bangerter is a scholar working on Molecular Biology, Pharmaceutical Science and Clinical Biochemistry, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Cholesterol and Lipid Metabolism (4 papers). The work is most often cited by research in Cell Biology (231 citations), Molecular Biology (816 citations) and Biochemistry (63 citations). Faan Wen Bangerter has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Robert R. Rando, William J. Johnson, Elisabeth P.C. Kilsdonk, Genevieve Stoudt, Michael C. Phillips, George H. Rothblat, Patricia G. Yancey, G A Orr, Charles E. Chandler and Patricia G. Cosgrove. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.