Fernanda Bianchi

517 citations
12 papers · 397 · h-index 9

Impact in

Papers in

Fernanda Bianchi

11 papers receiving 390 citations

Peers

Fernanda Bianchi
Comparison fields: 5 of 57
  • Nutrition and Dietetics 134
  • Food Science 157
  • Gastroenterology 25
  • Physiology 98
  • Molecular Biology 251
Replace Hyang Mi An with:
Hyang Mi An South Korea
Fenfen Yan China
Mateus Kawata Salgaço Brazil
Yingxue Yue China
Rávila Graziany Machado de Souza Brazil
Justin Carlson United States
Omar Granados‐Portillo Mexico
Jihee Kang South Korea
Carlota Bussolo de Souza Netherlands
Joseph Lupien‐Meilleur Canada
Fernanda Bianchi relative to Hyang Mi An South Korea Hyang Mi An's profile →
Citations per field
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Hyang Mi An · 1×
Citations per year

Countries citing papers authored by Fernanda Bianchi

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Fernanda Bianchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fernanda Bianchi Line = papers co-authored together Fernanda Bianchi links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2019122
2 201871
3 201851
4 201449
5 201838
6 201822
7 201817
8 201112
9 20218
10 20175
11
Percevejos (Heteroptera) fitófagos e predadores associados à cultura da canola no norte do estado do Rio Grande do Sul.
20172
12
Desenvolvimento e avaliação em simulador do ecossistema microbiano humano de uma bebida simbiótica à base de extratos aquosos de quinoa (chenopodium quinoa willd) e de soja
20130

About Fernanda Bianchi

Fernanda Bianchi is a scholar working on Molecular Biology, Food Science, Nutrition and Dietetics, Physiology and Gastroenterology, having authored 12 papers that have together received 397 indexed citations. Recurring topics across this work include Gut microbiota and health (8 papers), Probiotics and Fermented Foods (7 papers), Microbial Metabolites in Food Biotechnology (5 papers), Food composition and properties (3 papers), Diet and metabolism studies (2 papers), Gastrointestinal motility and disorders (2 papers), Agricultural and Food Sciences (1 paper) and Polysaccharides and Plant Cell Walls (1 paper). The work is most often cited by research in Nutrition and Dietetics (134 citations), Food Science (157 citations), Gastroenterology (25 citations), Physiology (98 citations) and Molecular Biology (251 citations). Fernanda Bianchi has collaborated with scholars based in Brazil, Denmark and Belgium. Frequent co-authors include Kátia Sivieri, Susana Marta Isay Saad, Maria Ângela Tallarico Adorno, Mateus Kawata Salgaço, Giselle Nobre Costa, Nadja Larsen, Lene Jespersen, Isabel Kimiko Sakamoto, Elizeu Antônio Rossi and Witold Kot. Their work appears in journals such as Applied Microbiology and Biotechnology, Food Research International, Journal of Functional Foods, International Journal of Food Sciences and Nutrition and Functional Foods in Health and Disease.

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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