Anna Francesconi
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuropeptides and Animal Physiology
- Transplantation top 10%
Papers in
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- Receptor Mechanisms and Signaling 7
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
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- Neuroscience and Neuropharmacology Research 12
- Co-authors
- Robert M. Duvoisin (4 shared papers)R. Suzanne Zukin (4 shared papers)Ranju Kumari (5 shared papers)Michael V. L. Bennett (2 shared papers)Vytenis Arvydas Skeberdis (1 shared paper)Ying Lin (1 shared paper)Magdalena Kalinowska (3 shared papers)Francesco Amaldi (3 shared papers)
- Journals
- Journal of Neuroscience (3 papers)Journal of Biological Chemistry (3 papers)Nucleic Acids Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)Gene (1 paper)
- Partner nations
- United StatesItalyBelgium
In The Last Decade
Anna Francesconi
26 papers receiving 909 citations
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 504
- Transplantation 29
- Molecular Biology 586
- Developmental Neuroscience 31
- Cell Biology 118
Countries citing papers authored by Anna Francesconi
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
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.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 150 | |
| 2 | 1998 | 136 | |
| 3 | 2000 | 104 | |
| 4 | 2009 | 100 | |
| 5 | 2002 | 72 | |
| 6 | 2010 | 35 | |
| 7 | 2016 | 34 | |
| 8 | 2013 | 34 | |
| 9 | 2015 | 33 | |
| 10 | 2003 | 30 | |
| 11 | 2005 | 29 | |
| 12 | 1993 | 28 | |
| 13 | 2010 | 24 | |
| 14 | 2015 | 22 | |
| 15 | 1993 | 18 | |
| 16 | 2009 | 17 | |
| 17 | 1992 | 11 | |
| 18 | 2003 | 8 | |
| 19 | 2011 | 7 | |
| 20 | 2015 | 6 |
About Anna Francesconi
Anna Francesconi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Developmental Neuroscience, having authored 26 papers that have together received 917 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Receptor Mechanisms and Signaling (7 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Caveolin-1 and cellular processes (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (504 citations), Transplantation (29 citations), Molecular Biology (586 citations), Developmental Neuroscience (31 citations) and Cell Biology (118 citations). Anna Francesconi has collaborated with scholars based in United States, Italy and Belgium. 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, Yukihiro Takayasu and Andrés E. Chávez. Their work appears in journals such as Journal of Neuroscience, Journal of Biological Chemistry, Nucleic Acids Research, Proceedings of the National Academy of Sciences and Gene.
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.