Florence Gattacceca

57 total papers · 987 total citations
32 papers, 800 citations indexed

About

Florence Gattacceca is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Florence Gattacceca has authored 32 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Infectious Diseases. Recurrent topics in Florence Gattacceca's work include Drug Transport and Resistance Mechanisms (5 papers), RNA Interference and Gene Delivery (5 papers) and Nanoparticle-Based Drug Delivery (4 papers). Florence Gattacceca is often cited by papers focused on Drug Transport and Resistance Mechanisms (5 papers), RNA Interference and Gene Delivery (5 papers) and Nanoparticle-Based Drug Delivery (4 papers). Florence Gattacceca collaborates with scholars based in France, United States and Portugal. Florence Gattacceca's co-authors include Mansoor M. Amiji, Bruno Sarmento, Dylan Morrissey, Arun K. Iyer, Shanthi Ganesh, Jing Xu, Claude Penel, Harkiranpreet Kaur Dhaliwal, Maxime Lehmann and Véronique Bourgarel‐Rey and has published in prestigious journals such as PLoS ONE, Journal of Controlled Release and International Journal of Cancer.

In The Last Decade

Florence Gattacceca

30 papers receiving 791 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 Gattacceca 324 235 170 107 104 32 800
Xiaojun Shi 296 0.9× 170 0.7× 117 0.7× 64 0.6× 107 1.0× 40 936
Davoud Jafari-Gharabaghlou 350 1.1× 204 0.9× 150 0.9× 61 0.6× 122 1.2× 42 858
Jacinta O. Pinho 355 1.1× 226 1.0× 250 1.5× 109 1.0× 225 2.2× 26 967
Rebecca Klippstein 336 1.0× 312 1.3× 278 1.6× 119 1.1× 79 0.8× 24 876
Pascal Detampel 543 1.7× 169 0.7× 149 0.9× 176 1.6× 63 0.6× 34 1.0k
Chantal C.M. Appeldoorn 550 1.7× 338 1.4× 145 0.9× 91 0.9× 99 1.0× 22 976
Chunhong Li 309 1.0× 165 0.7× 154 0.9× 115 1.1× 69 0.7× 32 934
Baoyue Ding 365 1.1× 253 1.1× 200 1.2× 72 0.7× 59 0.6× 50 849
Gigi N.C. Chiu 428 1.3× 274 1.2× 178 1.0× 51 0.5× 93 0.9× 19 913
Donghang Xu 442 1.4× 212 0.9× 224 1.3× 102 1.0× 109 1.0× 54 977

Countries citing papers authored by Florence Gattacceca

Since Specialization
Citations

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

Fields of papers citing papers by Florence Gattacceca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Gattacceca

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