Stephanie Reignat

23 total papers · 2.4k total citations
13 papers, 1.9k citations indexed

About

Stephanie Reignat is a scholar working on Epidemiology, Immunology and Hepatology. According to data from OpenAlex, Stephanie Reignat has authored 13 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 8 papers in Immunology and 8 papers in Hepatology. Recurrent topics in Stephanie Reignat's work include Hepatitis B Virus Studies (13 papers), Hepatitis C virus research (8 papers) and Immunotherapy and Immune Responses (7 papers). Stephanie Reignat is often cited by papers focused on Hepatitis B Virus Studies (13 papers), Hepatitis C virus research (8 papers) and Immunotherapy and Immune Responses (7 papers). Stephanie Reignat collaborates with scholars based in United Kingdom, India and Italy. Stephanie Reignat's co-authors include Antonio Bertoletti, Graham S. Ogg, Roger Williams, Mala K. Maini, Abigail Selzer King, George Webster, Diego Vergani, Carolina Boni, Carlo Ferrari and J.R. Larrubia and has published in prestigious journals such as The Journal of Experimental Medicine, Gastroenterology and Hepatology.

In The Last Decade

Stephanie Reignat

13 papers receiving 1.9k citations

Hit Papers

The Role of Virus-Specifi... 2000 2026 2008 2017 2000 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Stephanie Reignat 1.6k 1.3k 874 264 100 13 1.9k
Tilman Gerlach 1.6k 1.0× 1.9k 1.5× 689 0.8× 185 0.7× 138 1.4× 25 2.4k
Claire Dunn 1.2k 0.7× 728 0.6× 1.1k 1.3× 202 0.8× 141 1.4× 15 1.9k
A Valli 1.3k 0.8× 1.4k 1.1× 778 0.9× 150 0.6× 202 2.0× 17 2.0k
Geoffrey Dusheiko 1.8k 1.1× 1.7k 1.4× 444 0.5× 419 1.6× 149 1.5× 33 2.2k
Maria–Christina Jung 1.7k 1.1× 1.8k 1.5× 889 1.0× 236 0.9× 139 1.4× 40 2.6k
J.R. Larrubia 1.1k 0.7× 973 0.8× 705 0.8× 168 0.6× 96 1.0× 42 1.6k
Stewart Cooper 1.3k 0.8× 1.4k 1.1× 747 0.9× 144 0.5× 182 1.8× 34 2.2k
Barbara Amadei 1.1k 0.6× 947 0.8× 1.4k 1.6× 248 0.9× 117 1.2× 18 2.2k
A. Cavalli 2.6k 1.6× 2.1k 1.7× 1.2k 1.3× 434 1.6× 153 1.5× 25 3.1k
Svetlana Marukian 790 0.5× 848 0.7× 513 0.6× 178 0.7× 183 1.8× 18 1.6k

Countries citing papers authored by Stephanie Reignat

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Reignat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Reignat

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie Reignat. A scholar is included among the top collaborators of Stephanie Reignat 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 Stephanie Reignat. Stephanie Reignat 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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