Christiane Danilo

16 total papers · 958 total citations
14 papers, 765 citations indexed

About

Christiane Danilo is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Christiane Danilo has authored 14 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Cancer Research. Recurrent topics in Christiane Danilo's work include Cancer, Lipids, and Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Cholesterol and Lipid Metabolism (4 papers). Christiane Danilo is often cited by papers focused on Cancer, Lipids, and Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Cholesterol and Lipid Metabolism (4 papers). Christiane Danilo collaborates with scholars based in United States, Canada and Australia. Christiane Danilo's co-authors include Philippe G. Frank, Michael P. Lisanti, Isabelle Le Mercier, Gemma Llaverı́as, Kristin M. Daumer, Federica Sotgia, Franco Capozza, Terence M. Williams, Jorge L. Gutiérrez-Pajares and Yu Wang and has published in prestigious journals such as Biophysical Journal, American Journal Of Pathology and Archives of Biochemistry and Biophysics.

In The Last Decade

Christiane Danilo

13 papers receiving 755 citations

Author Peers

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

Author Last Decade Papers Cites
Christiane Danilo 462 349 234 180 105 14 765
J.K. Mellon 216 0.5× 380 1.1× 161 0.7× 169 0.9× 120 1.1× 20 731
Ylenia Perone 345 0.7× 390 1.1× 128 0.5× 120 0.7× 46 0.4× 11 808
Sheng Zhou 377 0.8× 449 1.3× 120 0.5× 132 0.7× 126 1.2× 20 735
Jorge L. Gutiérrez-Pajares 223 0.5× 328 0.9× 143 0.6× 69 0.4× 204 1.9× 15 636
Monika Lewińska 257 0.6× 379 1.1× 227 1.0× 182 1.0× 40 0.4× 25 815
Romain Riscal 348 0.8× 485 1.4× 102 0.4× 192 1.1× 49 0.5× 12 805
Peggy Robinet 185 0.4× 312 0.9× 264 1.1× 78 0.4× 58 0.6× 19 731
Dan Fan 345 0.7× 523 1.5× 58 0.2× 116 0.6× 51 0.5× 19 784
Sandra Mattu 357 0.8× 486 1.4× 111 0.5× 96 0.5× 89 0.8× 8 793
S. Mazurek 416 0.9× 495 1.4× 76 0.3× 187 1.0× 33 0.3× 17 765

Countries citing papers authored by Christiane Danilo

Since Specialization
Citations

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

Fields of papers citing papers by Christiane Danilo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christiane Danilo

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