Katy Billot

41 total papers · 723 total citations
15 papers, 290 citations indexed

About

Katy Billot is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Katy Billot has authored 15 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Katy Billot's work include NF-κB Signaling Pathways (6 papers), Genetic and Kidney Cyst Diseases (4 papers) and Lymphoma Diagnosis and Treatment (2 papers). Katy Billot is often cited by papers focused on NF-κB Signaling Pathways (6 papers), Genetic and Kidney Cyst Diseases (4 papers) and Lymphoma Diagnosis and Treatment (2 papers). Katy Billot collaborates with scholars based in France, Germany and United States. Katy Billot's co-authors include Véronique Baud, Didier Bordereaux, Angelita Rebollo, Hélène Authier, Fanny Chéreau, Dominique Mazier, Sylvain Thépot, Lorenzo Galluzzi, Guido Kroemer and Oliver Kepp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Katy Billot

15 papers receiving 289 citations

Author Peers

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

Author Last Decade Papers Cites
Katy Billot 170 62 60 59 50 15 290
Núria Palau 141 0.8× 66 1.1× 60 1.0× 33 0.6× 40 0.8× 13 304
Yaluan Ma 99 0.6× 111 1.8× 31 0.5× 47 0.8× 52 1.0× 17 300
Marília I. Figueira 158 0.9× 39 0.6× 30 0.5× 67 1.1× 50 1.0× 19 303
Duowei Wang 171 1.0× 80 1.3× 25 0.4× 66 1.1× 71 1.4× 15 299
Jason Clark 165 1.0× 57 0.9× 22 0.4× 42 0.7× 44 0.9× 14 310
Farzana L. Walcott 124 0.7× 33 0.5× 61 1.0× 55 0.9× 130 2.6× 17 291
Barbora Ravčuková 82 0.5× 98 1.6× 42 0.7× 43 0.7× 42 0.8× 22 297
Vinay Raj 134 0.8× 52 0.8× 23 0.4× 96 1.6× 50 1.0× 17 294
Rupert Engelhardt 81 0.5× 98 1.6× 25 0.4× 34 0.6× 64 1.3× 17 318
André Jefremow 116 0.7× 86 1.4× 73 1.2× 60 1.0× 122 2.4× 12 327

Countries citing papers authored by Katy Billot

Since Specialization
Citations

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

Fields of papers citing papers by Katy Billot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katy Billot

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