Florence Malisan
Impact in
- Aging top 5%
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
-
- Genetic Neurodegenerative Diseases 14
- Co-authors
- Roberto TestiBarbara TomassiniIvano CondòMaria Rita RippoAlessandra RufiniHéctor Martínez-ValdezNatascia VenturaLuisa Lenti
- Journals
- Human Molecular Genetics (6 papers)Experimental Gerontology (3 papers)The Journal of Experimental Medicine (2 papers)The FASEB Journal (2 papers)PLoS ONE (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Florence Malisan
38 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 99
- Aging 56
- Immunology 641
- Cellular and Molecular Neuroscience 400
- Cell Biology 357
- Molecular Biology 1.4k
Countries citing papers authored by Florence Malisan
This map shows the geographic impact of Florence Malisan'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 Florence Malisan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Malisan more than expected).
Fields of papers citing papers by Florence Malisan
This network shows the impact of papers produced by Florence Malisan. 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 Florence Malisan. The network helps show where Florence Malisan may publish in the future.
Co-authors
The 25 scholars most cited alongside Florence Malisan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2022 | 7 | |
| 3 | 2019 | 21 | |
| 4 | 2014 | 29 | |
| 5 | 2012 | 50 | |
| 6 | 2011 | 40 | |
| 7 | 2011 | 48 | |
| 8 | 2010 | 54 | |
| 9 | 2007 | 97 | |
| 10 | 2006 | 75 | |
| 11 | 2006 | 55 | |
| 12 | 2005 | 27 | |
| 13 | 2004 | 97 | |
| 14 | 2002 | 51 | |
| 15 | 2002 | 105 | |
| 16 | 2000 | 3 | |
| 17 | 1999 | 27 | |
| 18 | 1996 | 253 | |
| 19 | 1996 | 140 | |
| 20 | 1993 | 7 |
About Florence Malisan
Florence Malisan is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience, Aging, Cell Biology and Immunology, having authored 38 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (14 papers), Mitochondrial Function and Pathology (13 papers), Glycosylation and Glycoproteins Research (9 papers), Sphingolipid Metabolism and Signaling (9 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Immune Cell Function and Interaction (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Aging (56 citations), Immunology (641 citations), Cellular and Molecular Neuroscience (400 citations), Cell Biology (357 citations) and Molecular Biology (1.4k citations). Florence Malisan has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Roberto Testi, Barbara Tomassini, Ivano Condò, Maria Rita Rippo, Alessandra Rufini, Héctor Martínez-Valdez, Natascia Ventura, Luisa Lenti, Federica D’Agostino and Ann Zeuner. Their work appears in journals such as Human Molecular Genetics, Experimental Gerontology, The Journal of Experimental Medicine, The FASEB Journal and PLoS ONE.
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.