Bianca Marchetti

120 papers receiving 4.8k citations

Peers

Bianca Marchetti
Comparison fields: 5 of 132
  • Behavioral Neuroscience 499
  • Developmental Neuroscience 555
  • Neurology 881
  • Cellular and Molecular Neuroscience 1.4k
  • Reproductive Medicine 586
Replace Maria C. Morale with:
Maria C. Morale Italy
Rachida Guennoun France
Italo Mocchetti United States
Keiko Mizuno Japan
Gabriele M. Rune Germany
Maria Angela Sortino Italy
Gerard J.M. Martens Netherlands
Volker Höllt Germany
Meharvan Singh United States
Paul E. Gottschall United States
Bianca Marchetti relative to Maria C. Morale Italy Maria C. Morale's profile →
Citations per field
00.5×
Maria C. Morale · 1×
Citations per year

Countries citing papers authored by Bianca Marchetti

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Marchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017176
2 2011168
3 2005165
4 2010161
5 2005148
6 2006142
7 2013135
8 2020132
9 2004127
10 2012115
11 1989115
12 199199
13 201495
14 201893
15 198991
16 199189
17 202087
18 201382
19 201678
20 201377

About Bianca Marchetti

Bianca Marchetti is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 120 papers that have together received 4.9k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (22 papers), Hypothalamic control of reproductive hormones (20 papers), Nerve injury and regeneration (19 papers), Neurogenesis and neuroplasticity mechanisms (18 papers), Nuclear Receptors and Signaling (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Neuroendocrine regulation and behavior (13 papers) and Parkinson's Disease Mechanisms and Treatments (12 papers). The work is most often cited by research in Behavioral Neuroscience (499 citations), Developmental Neuroscience (555 citations), Neurology (881 citations), Cellular and Molecular Neuroscience (1.4k citations) and Reproductive Medicine (586 citations). Bianca Marchetti has collaborated with scholars based in Italy, Canada and United Kingdom. Frequent co-authors include Maria C. Morale, Cataldo Tirolo, Nunzio Testa, Salvatore Caniglia, Francesca L’Episcopo, Stefano Pluchino, Maria Francesca Serapide, Z. Farinella, Francesco Gallo and Maria P. Abbracchio. Their work appears in journals such as Annals of the New York Academy of Sciences, Endocrinology, Breast Cancer Research and Treatment, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Neuroendocrinology.

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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