Olga Charlat

21 total papers · 7.6k total citations
14 papers, 3.6k citations indexed

About

Olga Charlat is a scholar working on Molecular Biology, Oncology and Endocrine and Autonomic Systems. According to data from OpenAlex, Olga Charlat has authored 14 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Olga Charlat's work include Wnt/β-catenin signaling in development and cancer (7 papers), Cancer-related gene regulation (5 papers) and Ubiquitin and proteasome pathways (3 papers). Olga Charlat is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (7 papers), Cancer-related gene regulation (5 papers) and Ubiquitin and proteasome pathways (3 papers). Olga Charlat collaborates with scholars based in United States, Switzerland and China. Olga Charlat's co-authors include Geoffrey M. Duyk, Louis A. Tartaglia, Janice Culpepper, Nathan Lakey, Hong Chen, Robert I. Tepper, Elizabeth A. Woolf, Roger E. Breitbart, Xun Weng and Stephen J. Ellis and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Olga Charlat

14 papers receiving 3.6k citations

Hit Papers

Evidence That the Diabete... 1996 2026 2006 2016 1996 2012 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Olga Charlat 1.8k 1.2k 769 736 664 14 3.6k
Elizabeth A. Woolf 1.6k 0.9× 1.3k 1.1× 1.1k 1.4× 1.3k 1.8× 643 1.0× 18 4.8k
J. Daniel Frantz 1.4k 0.8× 1.0k 0.9× 641 0.8× 1.1k 1.5× 330 0.5× 14 3.3k
Jay P. Morgenstern 2.7k 1.5× 1.2k 1.1× 840 1.1× 1.1k 1.5× 900 1.4× 27 5.9k
Jennifer Gallagher 1.7k 1.0× 629 0.5× 316 0.4× 917 1.2× 379 0.6× 24 3.6k
Anjali K. Nath 1.4k 0.8× 770 0.7× 323 0.4× 700 1.0× 336 0.5× 37 3.2k
Kenneth R. Watterson 2.4k 1.4× 637 0.5× 376 0.5× 960 1.3× 283 0.4× 22 4.1k
Michio Suda 1.0k 0.6× 903 0.8× 659 0.9× 763 1.0× 416 0.6× 36 3.3k
Judy H. Dunmore 1.4k 0.8× 2.1k 1.8× 1.6k 2.1× 1.1k 1.5× 231 0.3× 16 4.3k
John W. Bullen 1.7k 1.0× 835 0.7× 325 0.4× 923 1.3× 497 0.7× 25 3.7k
Rima Boyadjian 765 0.4× 907 0.8× 560 0.7× 815 1.1× 200 0.3× 16 2.5k

Countries citing papers authored by Olga Charlat

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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