Gisele Hansel

66 total papers · 1.2k total citations
45 papers, 980 citations indexed

About

Gisele Hansel is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Gisele Hansel has authored 45 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 16 papers in Molecular Biology and 9 papers in Neurology. Recurrent topics in Gisele Hansel's work include Neuroscience and Neuropharmacology Research (19 papers), Adenosine and Purinergic Signaling (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Gisele Hansel is often cited by papers focused on Neuroscience and Neuropharmacology Research (19 papers), Adenosine and Purinergic Signaling (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Gisele Hansel collaborates with scholars based in Brazil, United States and Germany. Gisele Hansel's co-authors include Diogo O. Souza, Luis Valmor Portela, Eduardo R. Zimmer, Roberto Farina Almeida, Jean Pierre Oses, A. Müller, Olavo B. Amaral, Matilde Achaval, Marcelo Ganzella and Débora Guerini de Souza and has published in prestigious journals such as PLoS ONE, Brain Research and Journal of Neurochemistry.

In The Last Decade

Gisele Hansel

45 papers receiving 975 citations

Author Peers

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

Author Last Decade Papers Cites
Gisele Hansel 302 278 229 191 179 45 980
Ravi Shankar Akundi 248 0.8× 380 1.4× 239 1.0× 157 0.8× 173 1.0× 27 1.1k
Carina Rodrigues Boeck 396 1.3× 275 1.0× 105 0.5× 120 0.6× 150 0.8× 57 1.1k
Paulo Valdeci Worm 184 0.6× 178 0.6× 326 1.4× 91 0.5× 158 0.9× 40 962
Marcelo Ganzella 310 1.0× 437 1.6× 110 0.5× 133 0.7× 115 0.6× 35 890
Henrique B. Silva 436 1.4× 276 1.0× 242 1.1× 430 2.3× 234 1.3× 37 1.1k
Xiaowei Chen 278 0.9× 268 1.0× 137 0.6× 104 0.5× 351 2.0× 44 1.1k
Renata Leke 348 1.2× 218 0.8× 113 0.5× 78 0.4× 115 0.6× 22 859
Sabiha Eddarkaoui 288 1.0× 355 1.3× 218 1.0× 95 0.5× 368 2.1× 28 855
Daniele Lana 309 1.0× 287 1.0× 481 2.1× 92 0.5× 247 1.4× 35 1.0k
Cecilie Morland 423 1.4× 556 2.0× 272 1.2× 59 0.3× 257 1.4× 30 1.2k

Countries citing papers authored by Gisele Hansel

Since Specialization
Citations

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

Fields of papers citing papers by Gisele Hansel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gisele Hansel

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