Florencia Rosignoli

15 total papers · 547 total citations
14 papers, 492 citations indexed

About

Florencia Rosignoli is a scholar working on Cellular and Molecular Neuroscience, Physiology and Pharmacology. According to data from OpenAlex, Florencia Rosignoli has authored 14 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 7 papers in Physiology and 4 papers in Pharmacology. Recurrent topics in Florencia Rosignoli's work include Neuropeptides and Animal Physiology (9 papers), Inflammatory mediators and NSAID effects (4 papers) and Nitric Oxide and Endothelin Effects (4 papers). Florencia Rosignoli is often cited by papers focused on Neuropeptides and Animal Physiology (9 papers), Inflammatory mediators and NSAID effects (4 papers) and Nitric Oxide and Endothelin Effects (4 papers). Florencia Rosignoli collaborates with scholars based in Spain and Argentina. Florencia Rosignoli's co-authors include Javier Leceta, Rosa P. Gomariz, Yasmina Juarranz, Carmen Martínez, Claudia Pérez Leirós, Catalina Abad, Alicia Arranz, M. Torroba, Irene Gutiérrez‐Cañas and Roberto P. Meiss and has published in prestigious journals such as Annals of the New York Academy of Sciences, British Journal of Pharmacology and European Journal of Pharmacology.

In The Last Decade

Florencia Rosignoli

14 papers receiving 483 citations

Author Peers

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

Author Last Decade Papers Cites
Florencia Rosignoli 199 147 135 114 71 14 492
V. Argentiero 79 0.4× 86 0.6× 189 1.4× 109 1.0× 37 0.5× 16 523
J A Sandler 88 0.4× 192 1.3× 151 1.1× 186 1.6× 36 0.5× 11 528
Marie Liebmann 70 0.4× 162 1.1× 48 0.4× 167 1.5× 42 0.6× 15 475
Xiao-Hong Lin 119 0.6× 155 1.1× 47 0.3× 161 1.4× 20 0.3× 18 532
Zen-ichiro Honda 77 0.4× 114 0.8× 64 0.5× 267 2.3× 35 0.5× 10 503
M. G. Juarranz 270 1.4× 56 0.4× 49 0.4× 173 1.5× 80 1.1× 14 432
T. H. Jackson 86 0.4× 82 0.6× 58 0.4× 144 1.3× 24 0.3× 8 448
Anuradha Chakrabarty 81 0.4× 43 0.3× 91 0.7× 218 1.9× 21 0.3× 13 531
J. Garcia-Leme 53 0.3× 132 0.9× 184 1.4× 95 0.8× 30 0.4× 22 523
Bradford E. Hall 56 0.3× 143 1.0× 135 1.0× 149 1.3× 38 0.5× 11 433

Countries citing papers authored by Florencia Rosignoli

Since Specialization
Citations

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

Fields of papers citing papers by Florencia Rosignoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florencia Rosignoli

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