Fernanda Majolo

824 citations
33 papers · 573 · h-index 14

Impact in

    • Phytochemicals and Antioxidant Activities
    • Insect-Plant Interactions and Control
    • Insect and Pesticide Research

Papers in

Fernanda Majolo

31 papers receiving 564 citations

Peers

Fernanda Majolo
Comparison fields: 5 of 95
  • Biochemistry 30
  • Insect Science 61
  • Complementary and alternative medicine 34
  • Developmental Neuroscience 16
  • Toxicology 13
Replace Murtala Bello Abubakar with:
Murtala Bello Abubakar Nigeria
Chong Yan China
Rosanna Avola Italy
Mustafa Ergül Türkiye
Qiyun Wu Hong Kong
Ninoslav Djelić Serbia
Arthur Silveira Prudente Brazil
Yeunhwa Gu Japan
Marco Redaelli Italy
Fernanda Majolo relative to Murtala Bello Abubakar Nigeria Murtala Bello Abubakar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fernanda Majolo

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Majolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fernanda Majolo, 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 Majolo Line = papers co-authored together Fernanda Majolo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019159
2 202251
3 202040
4 202124
5 202024
6 201620
7 202120
8 201619
9 201117
10 202115
11 201315
12 202114
13 201113
14 201713
15 201712
16 202112
17 201811
18 201311
19 201410
20 20199

About Fernanda Majolo

Fernanda Majolo is a scholar working on Molecular Biology, Plant Science, Genetics, Infectious Diseases and Food Science, having authored 33 papers that have together received 573 indexed citations. Recurring topics across this work include Insect and Pesticide Research (4 papers), Pluripotent Stem Cells Research (4 papers), Insect-Plant Interactions and Control (4 papers), Phytochemistry and Biological Activities (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Essential Oils and Antimicrobial Activity (3 papers), CRISPR and Genetic Engineering (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Biochemistry (30 citations), Insect Science (61 citations), Complementary and alternative medicine (34 citations), Developmental Neuroscience (16 citations) and Toxicology (13 citations). Fernanda Majolo has collaborated with scholars based in Brazil, Germany and Portugal. Frequent co-authors include Márcia Inês Goettert, Ivan Cunha Bustamante‐Filho, Diorge Jônatas Marmitt, Stefan Laufer, Jaderson Costa da Costa, Daniel Rodrigo Marinowic, Noeli Juarez Ferla, Denise Cantarelli Machado, Liana Johann and Verônica Contini. Their work appears in journals such as Zootaxa, International Journal of Molecular Sciences, Epilepsy & Behavior, Developmental Neuroscience and Journal of Toxicology and Environmental Health.

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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