Florence Malisan

2.6k citations
38 papers · 2.1k indexed · h-index 25

Impact in

  • Aging top 5%
  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

Florence Malisan

38 papers receiving 2.1k citations

Peers

Florence Malisan
Comparison fields: 5 of 99
  • Aging 56
  • Immunology 641
  • Cellular and Molecular Neuroscience 400
  • Cell Biology 357
  • Molecular Biology 1.4k
Replace Nancy Olashaw with:
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Jean Paul ten Klooster Netherlands
Maria-Magdalena Georgescu United States
Caretha L. Creasy United States
Vania Gelmetti Italy
Pengbo Zhou United States
Yuichi Sekine Japan
Quintus G. Medley United States
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Citations per field
00.5×2.9×
Nancy Olashaw · 1×
Citations per year

Countries citing papers authored by Florence Malisan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Florence Malisan Line = papers co-authored together Florence Malisan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 20227
3 201921
4 201429
5 201250
6 201140
7 201148
8 201054
9 200797
10 200675
11 200655
12 200527
13 200497
14 200251
15 2002105
16 20003
17 199927
18 1996253
19 1996140
20 19937

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.

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