Vania Broccoli

15.6k citations
143 papers · 11.2k indexed · 3 hit papers · h-index 55

Impact in

Papers in

Vania Broccoli

142 papers receiving 11.1k citations

Hit Papers

Direct generation of functional dopaminergic neurons from mouse and human fibroblasts 2011 · 781 citations
7812003202620102018250500750

Peers

Vania Broccoli
Comparison fields: 5 of 135
  • Developmental Neuroscience 1.6k
  • Cellular and Molecular Neuroscience 2.7k
  • Molecular Biology 8.1k
  • Genetics 2.9k
  • Neurology 728
Replace Jean‐François Brunet with:
Jean‐François Brunet France
Jane E. Johnson United States
Patrick Charnay France
Vassilis Pachnis United Kingdom
Jamel Chelly France
Paola Arlotta United States
Shinichi Aizawa Japan
Martyn Goulding United States
Joseph G. Gleeson United States
Kinichi Nakashima Japan
Vania Broccoli relative to Jean‐François Brunet France Jean‐François Brunet's profile →
Citations per field
00.5×1.5×2.0×
Jean‐François Brunet · 1×
Citations per year

Countries citing papers authored by Vania Broccoli

Since Specialization
Citations

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

Fields of papers citing papers by Vania Broccoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202424
3 20243
4 20240
5 20238
6 20231
7 20234
8 202327
9 20226
10 202127
11 202012
12 202091
13 201918
14 201820
15 201491
16 20118
17 201031
18 200586
19
Mapping Wnt/β-catenin signaling during mouse development and in colorectal tumors
Hit paper breakdown →
2003684
20 200288

About Vania Broccoli

Vania Broccoli is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Genetics and Neurology, having authored 143 papers that have together received 11.2k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (31 papers), Pluripotent Stem Cells Research (29 papers), Neurogenesis and neuroplasticity mechanisms (25 papers), CRISPR and Genetic Engineering (22 papers), Developmental Biology and Gene Regulation (20 papers), Mitochondrial Function and Pathology (12 papers), Epigenetics and DNA Methylation (12 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Developmental Neuroscience (1.6k citations), Cellular and Molecular Neuroscience (2.7k citations), Molecular Biology (8.1k citations), Genetics (2.9k citations) and Neurology (728 citations). Vania Broccoli has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Edoardo Boncinelli, Alessandro Sessa, Massimo Gulisano, Serena Giannelli, Gaia Colasante, Wolfgang Wurst, Dongdong Fu, Jan Pruszak, Marius Wernig and Rudolf Jaenisch. Their work appears in journals such as Nature Communications, Cell Reports, Human Molecular Genetics, Scientific Reports and Development.

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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