Danièle Taras

8 papers and 543 indexed citations i.

About

Danièle Taras is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Danièle Taras has authored 8 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Danièle Taras’s work include Ubiquitin and proteasome pathways (4 papers), Genomics and Chromatin Dynamics (3 papers) and Peptidase Inhibition and Analysis (3 papers). Danièle Taras is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Genomics and Chromatin Dynamics (3 papers) and Peptidase Inhibition and Analysis (3 papers). Danièle Taras collaborates with scholars based in France, United States and Germany. Danièle Taras's co-authors include Jean Rosenbaum, Valérie Haurie, Jean‐Frédéric Blanc, Ludovic Ménard, Alexandra Nicou, Gaëlle Cubel, Nathalie Dugot‐Senant, Anne Rullier, Pierre Costet and Marion Décossas and has published in prestigious journals such as Hepatology, Cancer Research and American Journal Of Pathology.

In The Last Decade

Co-authorship network of co-authors of Danièle Taras i

Fields of papers citing papers by Danièle Taras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danièle Taras

Since Specialization
Citations

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

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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