Florence van Hunsel

175 total papers · 3.0k total citations
122 papers, 1.8k citations indexed

About

Florence van Hunsel is a scholar working on Toxicology, Pharmacology and Pharmacology. According to data from OpenAlex, Florence van Hunsel has authored 122 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Toxicology, 33 papers in Pharmacology and 26 papers in Pharmacology. Recurrent topics in Florence van Hunsel's work include Pharmacovigilance and Adverse Drug Reactions (57 papers), Drug-Induced Adverse Reactions (27 papers) and SARS-CoV-2 and COVID-19 Research (17 papers). Florence van Hunsel is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (57 papers), Drug-Induced Adverse Reactions (27 papers) and SARS-CoV-2 and COVID-19 Research (17 papers). Florence van Hunsel collaborates with scholars based in Netherlands, Portugal and Italy. Florence van Hunsel's co-authors include Kees van Grootheest, Eugène van Puijenbroek, Linda Härmark, Anneke Passier, Leàn Rolfes, A. Kant, Lolkje de Jong‐van den Berg, Tjalling W. de Vries, Katja Taxis and Corine Ekhart and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMJ.

In The Last Decade

Florence van Hunsel

114 papers receiving 1.7k 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 van Hunsel 987 405 403 385 342 122 1.8k
Linda Härmark 804 0.8× 297 0.7× 323 0.8× 283 0.7× 198 0.6× 59 1.4k
Manfred Hauben 1.4k 1.4× 269 0.7× 264 0.7× 446 1.2× 178 0.5× 77 2.4k
Ghada Miremont‐Salamé 793 0.8× 184 0.5× 279 0.7× 329 0.9× 142 0.4× 77 1.8k
Kees van Grootheest 1.1k 1.2× 418 1.0× 487 1.2× 326 0.8× 304 0.9× 40 1.5k
Ronald H.B. Meyboom 897 0.9× 209 0.5× 319 0.8× 459 1.2× 208 0.6× 46 2.2k
Domenico Motola 367 0.4× 247 0.6× 196 0.5× 421 1.1× 177 0.5× 86 1.7k
Peter Arlett 455 0.5× 600 1.5× 210 0.5× 194 0.5× 247 0.7× 54 1.8k
Janet Sultana 371 0.4× 255 0.6× 265 0.7× 238 0.6× 121 0.4× 77 2.1k
Geneviève Durrieu 391 0.4× 184 0.5× 318 0.8× 245 0.6× 189 0.6× 105 1.7k
Paola Maria Cutroneo 533 0.5× 183 0.5× 300 0.7× 283 0.7× 145 0.4× 54 1.6k

Countries citing papers authored by Florence van Hunsel

Since Specialization
Citations

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

Fields of papers citing papers by Florence van Hunsel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence van Hunsel

This figure shows the co-authorship network connecting the top 25 collaborators of Florence van Hunsel. A scholar is included among the top collaborators of Florence van Hunsel 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 van Hunsel. Florence van Hunsel 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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2026