Francesca Novara

5.5k total citations · 1 hit paper
56 papers, 2.3k citations indexed

About

Francesca Novara is a scholar working on Genetics, Molecular Biology and Genetics. According to data from OpenAlex, Francesca Novara has authored 56 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 20 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in Francesca Novara's work include Genomic variations and chromosomal abnormalities (16 papers), Genetics and Neurodevelopmental Disorders (14 papers) and Mesenchymal stem cell research (8 papers). Francesca Novara is often cited by papers focused on Genomic variations and chromosomal abnormalities (16 papers), Genetics and Neurodevelopmental Disorders (14 papers) and Mesenchymal stem cell research (8 papers). Francesca Novara collaborates with scholars based in Italy, United States and United Kingdom. Francesca Novara's co-authors include Orsetta Zuffardi, Rita Maccario, Angela Cometa, Maria Antonietta Avanzini, Antonia Moretta, Maria Ester Bernardo, Franco Locatelli, Raffaella Villa, Nadia Zaffaroni and Maria Grazia Daidone and has published in prestigious journals such as Nature Communications, Blood and Neurology.

In The Last Decade

Francesca Novara

55 papers receiving 2.2k citations

Hit Papers

Human Bone Marrow–Derived Mesenchymal Stem Cells Do Not U... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers

Francesca Novara
Comparison fields: 5 of 100
  • Genetics 895
  • Molecular Biology 881
  • Genetics 579
  • Surgery 505
  • Oncology 289
Replace Sung Keun Kang with:
Sung Keun Kang South Korea
Anna Spagnoli United States
Maria Kirchhoff Denmark
Gopalrao V.N. Velagaleti United States
Przemko Tylżanowski Belgium
Mohan C. Vemuri United States
Ben A. Scheven United Kingdom
Erja Kerkelä Finland
Makoto Migita Japan
Jun-ichi Hata Japan
Sung Keun Kang South Korea View profile →
Citations per field, relative to Francesca Novara
Francesca Novara · 1×
Citations per year, relative to Francesca Novara
Francesca Novara · 1×

Countries citing papers authored by Francesca Novara

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Novara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Novara

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 11
2 7
3 3
4 18
5 19
6 31
7 11
8 24
9 11
10 5
11 2
12 11
13 18
14
Refining the phenotype associated with MEF2C haploinsufficiency
4
15 171
16 65
17 99
18 12
19 50
20 34

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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