Frances T. Yen
- Physiology top 1%
- Epidemiology top 2%
- Molecular Biology top 10%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Bernard E. BihainSandrine JavorschiHarvey F. LodishTsu‐Shuen TsaoJoachim FruebisMary EricksonCarl MannAlison M. Grant
- Topics
- Cholesterol and Lipid Metabolism (19 papers)Alzheimer's disease research and treatments (12 papers)Lipid metabolism and disorders (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- FranceUnited StatesLuxembourg
In The Last Decade
Frances T. Yen
66 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Physiology 1.4k
- Epidemiology 1.4k
- Molecular Biology 1.2k
- Surgery 656
- Endocrinology, Diabetes and Metabolism 600
Countries citing papers authored by Frances T. Yen
This map shows the geographic impact of Frances T. Yen'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 Frances T. Yen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frances T. Yen more than expected).
Fields of papers citing papers by Frances T. Yen
This network shows the impact of papers produced by Frances T. Yen. 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 Frances T. Yen. The network helps show where Frances T. Yen may publish in the future.
Co-authorship network of co-authors of Frances T. Yen
This figure shows the co-authorship network connecting the top 25 collaborators of Frances T. Yen. A scholar is included among the top collaborators of Frances T. Yen 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 Frances T. Yen. Frances T. Yen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 21 | |
| 5 | 8 | |
| 6 | 37 | |
| 7 | 3 | |
| 8 | 13 | |
| 9 | 39 | |
| 10 | 7 | |
| 11 | 32 | |
| 12 | 118 | |
| 13 | 100 | |
| 14 | 60 | |
| 15 | 61 | |
| 16 | 21 | |
| 17 | 65 | |
| 18 | Lipolysis-stimulated receptor: a newcomer on the lipoprotein research scene. | 3 |
| 19 | 49 | |
| 20 | 78 |
About Frances T. Yen
Frances T. Yen is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 67 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (19 papers), Alzheimer's disease research and treatments (12 papers) and Lipid metabolism and disorders (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (487 citations), Physiology (1.4k citations) and Epidemiology (1.4k citations). Frances T. Yen has collaborated with scholars based in France, United States and Luxembourg. Frequent co-authors include Bernard E. Bihain, Sandrine Javorschi, Harvey F. Lodish, Tsu‐Shuen Tsao, Joachim Fruebis, Mary Erickson, Carl Mann, Alison M. Grant, Thierry Oster and Elmira Arab‐Tehrany. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.