Poliane Folador

898 total citations
8 papers, 759 citations indexed

About

Poliane Folador is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Biochemistry. According to data from OpenAlex, Poliane Folador has authored 8 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Biochemistry. Recurrent topics in Poliane Folador's work include Natural Antidiabetic Agents Studies (4 papers), Phytochemicals and Antioxidant Activities (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). Poliane Folador is often cited by papers focused on Natural Antidiabetic Agents Studies (4 papers), Phytochemicals and Antioxidant Activities (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). Poliane Folador collaborates with scholars based in Brazil. Poliane Folador's co-authors include Moacir Geraldo Pizzolatti, Luisa Helena Cazarolli, Leïla Zanatta, Fátima Regina Mena Barreto Silva, Inês Maria Costa Brighente, Henrique Hunger Moresco, Maria Santos Reis Bonorino Figueiredo, Angela Del Rosso, Flávio Henrique Reginatto and Eloir Paulo Schenkel and has published in prestigious journals such as European Journal of Pharmacology, European Journal of Medicinal Chemistry and Biochimie.

In The Last Decade

Poliane Folador

8 papers receiving 708 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Poliane Folador Brazil 8 303 285 241 189 87 8 759
Alhassan Muhammad Alhassan Nigeria 13 216 0.7× 210 0.7× 190 0.8× 214 1.1× 74 0.9× 21 669
Hee Sook Sohn South Korea 12 183 0.6× 304 1.1× 171 0.7× 129 0.7× 124 1.4× 15 777
Smita Narwal India 5 330 1.1× 170 0.6× 227 0.9× 172 0.9× 71 0.8× 16 674
Punit Bansal India 16 232 0.8× 264 0.9× 130 0.5× 196 1.0× 68 0.8× 25 795
Akalpita U. Arvindekar India 18 345 1.1× 236 0.8× 140 0.6× 201 1.1× 69 0.8× 32 831
Vikneswari Perumal Malaysia 13 264 0.9× 209 0.7× 213 0.9× 221 1.2× 60 0.7× 23 752
Chippada Appa Rao India 11 412 1.4× 164 0.6× 141 0.6× 177 0.9× 69 0.8× 26 748
Suganya Murugesu Malaysia 12 228 0.8× 214 0.8× 190 0.8× 197 1.0× 45 0.5× 30 704
Rahman M. Hafizur Pakistan 18 379 1.3× 298 1.0× 192 0.8× 262 1.4× 68 0.8× 45 908
Soon Sung Lim South Korea 21 173 0.6× 383 1.3× 255 1.1× 184 1.0× 123 1.4× 50 1.0k

Countries citing papers authored by Poliane Folador

Since Specialization
Citations

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

Fields of papers citing papers by Poliane Folador

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poliane Folador

This figure shows the co-authorship network connecting the top 25 collaborators of Poliane Folador. A scholar is included among the top collaborators of Poliane Folador 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 Poliane Folador. Poliane Folador is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Cazarolli, Luisa Helena, Danielle Fontana Pereira, Virgínia Demarchi Kappel, et al.. (2013). Insulin signaling: A potential signaling pathway for the stimulatory effect of kaempferitrin on glucose uptake in skeletal muscle. European Journal of Pharmacology. 712(1-3). 1–7. 46 indexed citations
2.
Folador, Poliane, et al.. (2010). Potential insulin secretagogue effects of isovitexin and swertisin isolated from Wilbrandia ebracteata roots in non-diabetic rats. Fitoterapia. 81(8). 1180–1187. 56 indexed citations
3.
Cazarolli, Luisa Helena, et al.. (2009). Stimulatory effect of apigenin-6-C-β-l-fucopyranoside on insulin secretion and glycogen synthesis. European Journal of Medicinal Chemistry. 44(11). 4668–4673. 59 indexed citations
4.
Cazarolli, Luisa Helena, Poliane Folador, Moacir Geraldo Pizzolatti, & Fátima Regina Mena Barreto Silva. (2009). Signaling pathways of kaempferol-3-neohesperidoside in glycogen synthesis in rat soleus muscle. Biochimie. 91(7). 843–849. 38 indexed citations
5.
Cazarolli, Luisa Helena, Poliane Folador, Henrique Hunger Moresco, et al.. (2008). Mechanism of action of the stimulatory effect of apigenin-6-C-(2″-O-α-l-rhamnopyranosyl)-β-l-fucopyranoside on 14C-glucose uptake. Chemico-Biological Interactions. 179(2-3). 407–412. 67 indexed citations
6.
Cazarolli, Luisa Helena, et al.. (2008). Flavonoids: Prospective Drug Candidates. Mini-Reviews in Medicinal Chemistry. 8(13). 1429–1440. 328 indexed citations
7.
Cazarolli, Luisa Helena, et al.. (2008). Flavonoids: Cellular and Molecular Mechanism of Action in Glucose Homeostasis. Mini-Reviews in Medicinal Chemistry. 8(10). 1032–1038. 95 indexed citations
8.
Zanatta, Leïla, Angela Del Rosso, Poliane Folador, et al.. (2008). Insulinomimetic Effect of Kaempferol 3-Neohesperidoside on the Rat Soleus Muscle. Journal of Natural Products. 71(4). 532–535. 70 indexed citations

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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