Olga Charlat
- Molecular Biology top 5%
- Endocrine and Autonomic Systems top 0.5%
- Nutrition and Dietetics top 1%
- Physiology top 5%
- Oncology top 5%
- Co-authors
- Geoffrey M. DuykXun WengElizabeth A. WoolfNathan LakeyJanice CulpepperRobert I. TepperJay P. MorgensternLouis A. Tartaglia
- Topics
- Wnt/β-catenin signaling in development and cancer (7 papers)Cancer-related gene regulation (5 papers)Peptidase Inhibition and Analysis (3 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Olga Charlat
14 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.8k
- Endocrine and Autonomic Systems 1.2k
- Nutrition and Dietetics 768
- Physiology 734
- Oncology 669
Countries citing papers authored by Olga Charlat
This map shows the geographic impact of Olga Charlat'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 Olga Charlat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Charlat more than expected).
Fields of papers citing papers by Olga Charlat
This network shows the impact of papers produced by Olga Charlat. 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 Olga Charlat. The network helps show where Olga Charlat may publish in the future.
Co-authorship network of co-authors of Olga Charlat
This figure shows the co-authorship network connecting the top 25 collaborators of Olga Charlat. A scholar is included among the top collaborators of Olga Charlat 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 Olga Charlat. Olga Charlat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 13 | |
| 3 | 93 | |
| 4 | 55 | |
| 5 | 141 | |
| 6 | 325 | |
| 7 | ZNRF3 promotes Wnt receptor turnover in an R-spondin-sensitive mannerbreakdown → | 709 |
| 8 | 58 | |
| 9 | 339 | |
| 10 | BHQ880, a novel anti-DKK1 neutralizing antibody, inhibits tumor-induced osteolytic bone disease | 5 |
| 11 | 18 | |
| 12 | 62 | |
| 13 | 12 | |
| 14 | Evidence That the Diabetes Gene Encodes the Leptin Receptor: Identification of a Mutation in the Leptin Receptor Gene in db/db Micebreakdown → | 1814 |
About Olga Charlat
Olga Charlat is a scholar working on Endocrine and Autonomic Systems, Hematology and Oncology, having authored 14 papers that have together received 3.7k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (7 papers), Cancer-related gene regulation (5 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Nutrition and Dietetics (768 citations) and Physiology (734 citations). Olga Charlat has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Geoffrey M. Duyk, Xun Weng, Elizabeth A. Woolf, Nathan Lakey, Janice Culpepper, Robert I. Tepper, Jay P. Morgenstern, Louis A. Tartaglia, Stephen J. Ellis and Roger E. Breitbart. Their work appears in journals such as Nature, Cell 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.