Catherine Berset

653 citations
12 papers · 416 indexed · h-index 8

Catherine Berset

12 papers receiving 410 citations

Peers

Catherine Berset
Comparison fields: 5 of 62
  • Molecular Biology 339
  • Aging 7
  • Hematology 37
  • Cell Biology 49
  • Oncology 74
Replace Ana P. G. Silva with:
Ana P. G. Silva Australia
Jan Taplick Austria
Werner Fanick Germany
Urszula Nowicka Poland
Zachary C. Poss United States
Caroline Huard Canada
Michael V. Murray United States
Yahya Homsi Germany
Jasper E. Neggers United States
Juran Kato‐Stankiewicz United States
Catherine Berset relative to Ana P. G. Silva Australia Ana P. G. Silva's profile →
Citations per field
00.5×1.5×1.8×
Ana P. G. Silva · 1×
Citations per year

Countries citing papers authored by Catherine Berset

Since Specialization
Citations

This map shows the geographic impact of Catherine Berset'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 Berset with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Berset more than expected).

Fields of papers citing papers by Catherine Berset

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine Berset. 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 Berset. The network helps show where Catherine Berset may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Catherine Berset, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Catherine Berset Line = papers co-authored together Catherine Berset links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20202
2 201613
3 201543
4 201547
5 20121
6 200543
7 200445
8 200358
9 200240
10 1998119
11
The TOR (target of rapamycin) signal transduction pathway regulates the stability of translation initiation factor eIF4G in the yeast Saccharomyces cerevisiae (cell cycleystarvationyprotein degradation)
19984
12
The research situation with regard to natural food colourants.
19901

About Catherine Berset

Catherine Berset is a scholar working on Genetics, Virology and Hematology, having authored 12 papers that have together received 416 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), Fungal and yeast genetics research (3 papers), HIV/AIDS drug development and treatment (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Ubiquitin and proteasome pathways (2 papers), Multiple Myeloma Research and Treatments (2 papers), RNA and protein synthesis mechanisms (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Molecular Biology (339 citations), Aging (7 citations) and Hematology (37 citations). Catherine Berset has collaborated with scholars based in Switzerland, Netherlands and United States. Frequent co-authors include Michael Altmann, Hans Trachsel, Siamak Djafarzadeh, Andreas Zurbriggen, Stefan Lanker, Alcide Barberis, Urs Lüthi, Hanne Hawle, Curt Wittenberg and Peter Griač. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

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.

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