Catherine Carrière
- Molecular Biology top 5%
- Genetics top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology top 10%
- Surgery top 10%
- Co-authors
- Michael G. RosenfeldDaniel S. LongneckerMurray KorcBogi AndersenTobias GoetzeIngolf BachJason R. GunnSimon Saule
- Topics
- Growth Hormone and Insulin-like Growth Factors (6 papers)Pancreatic function and diabetes (6 papers)Cancer, Hypoxia, and Metabolism (5 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Catherine Carrière
22 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.5k
- Genetics 714
- Endocrinology, Diabetes and Metabolism 602
- Oncology 390
- Surgery 368
Countries citing papers authored by Catherine Carrière
This map shows the geographic impact of Catherine Carrière'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 Catherine Carrière with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Carrière more than expected).
Fields of papers citing papers by Catherine Carrière
This network shows the impact of papers produced by Catherine Carrière. 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 Catherine Carrière. The network helps show where Catherine Carrière may publish in the future.
Co-authorship network of co-authors of Catherine Carrière
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Carrière. A scholar is included among the top collaborators of Catherine Carrière 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 Catherine Carrière. Catherine Carrière is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 63 | |
| 3 | 60 | |
| 4 | 6 | |
| 5 | 217 | |
| 6 | 170 | |
| 7 | 28 | |
| 8 | 106 | |
| 9 | 20 | |
| 10 | 4 | |
| 11 | 203 | |
| 12 | 68 | |
| 13 | 120 | |
| 14 | 56 | |
| 15 | 256 | |
| 16 | Pituitary lineage determination by the Prophet of Pit-1 homeodomain factor defective in Ames dwarfismbreakdown → | 615 |
| 17 | 98 | |
| 18 | 99 | |
| 19 | Structure and DNA-binding properties of Pax-QNR, a paired box- and homeobox-containing gene. | 30 |
| 20 | Characterization of a paired box- and homeobox-containing quail gene (Pax-QNR) expressed in the neuroretina. | 92 |
About Catherine Carrière
Catherine Carrière is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Molecular Biology, having authored 23 papers that have together received 2.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Pancreatic function and diabetes (6 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Aging (76 citations), Endocrinology, Diabetes and Metabolism (602 citations) and Genetics (714 citations). Catherine Carrière has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Michael G. Rosenfeld, Daniel S. Longnecker, Murray Korc, Bogi Andersen, Tobias Goetze, Ingolf Bach, Jason R. Gunn, Simon Saule, Alison L. Young and Heather P. Ostendorff. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.