Florence Naillat

30 total papers · 1.1k total citations
23 papers, 836 citations indexed

About

Florence Naillat is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Florence Naillat has authored 23 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Public Health, Environmental and Occupational Health and 7 papers in Genetics. Recurrent topics in Florence Naillat's work include Renal and related cancers (12 papers), Reproductive Biology and Fertility (10 papers) and Renal cell carcinoma treatment (6 papers). Florence Naillat is often cited by papers focused on Renal and related cancers (12 papers), Reproductive Biology and Fertility (10 papers) and Renal cell carcinoma treatment (6 papers). Florence Naillat collaborates with scholars based in Finland, United States and United Kingdom. Florence Naillat's co-authors include Seppo Vainio, Charmaine Richman, Olga Timofeeva, Alan O. Perantoni, Lee F. Dove, Mark Lewandoski, Catherine P. Wilson, Renata Prunskaite‐Hyyryläinen, Konstantin Beier and Odyssé Michos and has published in prestigious journals such as Development, Endocrinology and Journal of the American Society of Nephrology.

In The Last Decade

Florence Naillat

19 papers receiving 796 citations

Author Peers

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

Author Last Decade Papers Cites
Florence Naillat 669 313 181 131 94 23 836
Sayoko Fujimura 717 1.1× 167 0.5× 140 0.8× 112 0.9× 37 0.4× 20 849
Jingdong Shan 623 0.9× 278 0.9× 138 0.8× 190 1.5× 45 0.5× 30 915
M Erämaa 679 1.0× 117 0.4× 211 1.2× 65 0.5× 26 0.3× 19 850
Anna Latos‐Bieleńska 497 0.7× 504 1.6× 48 0.3× 109 0.8× 44 0.5× 50 891
Joan S. Jorgensen 469 0.7× 319 1.0× 143 0.8× 107 0.8× 25 0.3× 34 831
Mihaela Mureşan 278 0.4× 264 0.8× 101 0.6× 48 0.4× 45 0.5× 21 727
Marilyn Lamm 756 1.1× 181 0.6× 62 0.3× 172 1.3× 102 1.1× 27 984
Pam Siggers 788 1.2× 611 2.0× 94 0.5× 25 0.2× 52 0.6× 21 992
Marie‐France Portnoï 445 0.7× 574 1.8× 109 0.6× 57 0.4× 16 0.2× 29 906
Susanne Ledig 565 0.8× 545 1.7× 199 1.1× 22 0.2× 109 1.2× 33 1.0k

Countries citing papers authored by Florence Naillat

Since Specialization
Citations

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

Fields of papers citing papers by Florence Naillat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Naillat

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