Sarah E. Flynn
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Genetics top 1%
- Cancer Research top 10%
- Surgery
- Co-authors
- Michael G. RosenfeldHolly A. IngrahamJeremy S. DasenShawn M. O’ConnellDonna M. SimmonsRuoping ChenHarry P. ElsholtzChijen R. Lin
- Topics
- Growth Hormone and Insulin-like Growth Factors (4 papers)TGF-β signaling in diseases (2 papers)Estrogen and related hormone effects (2 papers)
- Journals
- NatureCellNature Genetics
- Partner nations
- United StatesAustriaSwitzerland
In The Last Decade
Sarah E. Flynn
7 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 2.0k
- Endocrinology, Diabetes and Metabolism 1.5k
- Genetics 1.3k
- Cancer Research 292
- Surgery 230
Countries citing papers authored by Sarah E. Flynn
This map shows the geographic impact of Sarah E. Flynn'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 Sarah E. Flynn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah E. Flynn more than expected).
Fields of papers citing papers by Sarah E. Flynn
This network shows the impact of papers produced by Sarah E. Flynn. 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 Sarah E. Flynn. The network helps show where Sarah E. Flynn may publish in the future.
Co-authorship network of co-authors of Sarah E. Flynn
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah E. Flynn. A scholar is included among the top collaborators of Sarah E. Flynn 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 Sarah E. Flynn. Sarah E. Flynn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 246 | |
| 2 | 382 | |
| 3 | 246 | |
| 4 | Determinants of coactivator LXXLL motif specificity in nuclear receptor transcriptional activationbreakdown → | 503 |
| 5 | Pituitary lineage determination by the Prophet of Pit-1 homeodomain factor defective in Ames dwarfismbreakdown → | 615 |
| 6 | 357 | |
| 7 | A tissue-specific transcription factor containing a homeodomain specifies a pituitary phenotypebreakdown → | 870 |
About Sarah E. Flynn
Sarah E. Flynn is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 7 papers that have together received 3.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), TGF-β signaling in diseases (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Aging (93 citations) and Genetics (1.3k citations). Sarah E. Flynn has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include Michael G. Rosenfeld, Holly A. Ingraham, Jeremy S. Dasen, Shawn M. O’Connell, Donna M. Simmons, Ruoping Chen, Harry P. Elsholtz, Chijen R. Lin, Larry W. Swanson and Harry J. Mangalam. Their work appears in journals such as Nature, Cell and Nature Genetics.
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.