Anna Francesconi

1.1k citations
25 papers · 888 · h-index 15

Impact in

Papers in

Anna Francesconi

25 papers receiving 884 citations

Peers

Anna Francesconi
Comparison fields: 5 of 78
  • Cellular and Molecular Neuroscience 523
  • Transplantation 29
  • Molecular Biology 607
  • Developmental Neuroscience 35
  • Cell Biology 121
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Tennore Ramesh United Kingdom
Ora Dillon‐Carter United States
R. Brusa Italy
Huang-Chun Tseng United States
Galyna Bondar United States
Michaela Kraus Austria
Nadia Jaafari United Kingdom
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Merewyn K. Loder United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Anna Francesconi

Since Specialization
Citations

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

Fields of papers citing papers by Anna Francesconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004149
2 1998135
3 2000103
4 2009100
5 200272
6 201035
7 201334
8 201634
9 201532
10 200330
11 200528
12 199328
13 201522
14 199318
15 200917
16 199211
17 20038
18 20117
19 20156
20 20226

About Anna Francesconi

Anna Francesconi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Developmental Neuroscience, having authored 25 papers that have together received 888 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Receptor Mechanisms and Signaling (7 papers), RNA Research and Splicing (3 papers), Caveolin-1 and cellular processes (3 papers), RNA and protein synthesis mechanisms (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (523 citations), Transplantation (29 citations), Molecular Biology (607 citations), Developmental Neuroscience (35 citations) and Cell Biology (121 citations). Anna Francesconi has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Robert M. Duvoisin, R. Suzanne Zukin, Ranju Kumari, Michael V. L. Bennett, Vytenis Arvydas Skeberdis, Ying Lin, Magdalena Kalinowska, Francesco Amaldi, Koichi Takeuchi and Yukihiro Takayasu. Their work appears in journals such as Journal of Neuroscience, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Nucleic Acids Research and Neuron.

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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