Danièle Pariente

49 papers and 1.6k indexed citations i.

About

Danièle Pariente is a scholar working on Surgery, Hepatology and Epidemiology. According to data from OpenAlex, Danièle Pariente has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Surgery, 28 papers in Hepatology and 14 papers in Epidemiology. Recurrent topics in Danièle Pariente’s work include Liver Disease and Transplantation (16 papers), Organ Transplantation Techniques and Outcomes (13 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). Danièle Pariente is often cited by papers focused on Liver Disease and Transplantation (16 papers), Organ Transplantation Techniques and Outcomes (13 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). Danièle Pariente collaborates with scholars based in France, Italy and United Kingdom. Danièle Pariente's co-authors include Stéphanie Franchi‐Abella, Monique Fabrè, Sophie Branchereau, Frédéric Gauthier, Emmanuel Jacquemin, Derek Roebuck, Rudolf Maibach, Piotr Czauderna, Giorgio Perilongo and Olivier Bernard and has published in prestigious journals such as Gastroenterology, Hepatology and Annals of Surgery.

In The Last Decade

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

Fields of papers citing papers by Danièle Pariente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danièle Pariente

Since Specialization
Citations

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