Florence Solari

1.3k citations
25 papers · 1.0k · h-index 19

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 16
    • Bone Metabolism and Diseases 4
    • FOXO transcription factor regulation 3
    • Pluripotent Stem Cells Research 3

Florence Solari

25 papers receiving 1.0k citations

Peers

Florence Solari
Comparison fields: 5 of 91
  • Aging 415
  • Geriatrics and Gerontology 90
  • Endocrine and Autonomic Systems 137
  • Molecular Biology 645
  • Physiology 238
Replace Doreen Kuhlow with:
Doreen Kuhlow Germany
Ahmad R. Heydari United States
María V. Cascajo Spain
Kui Lin United States
Theresa M. Ward United States
Angela Pasparaki Greece
Anson Pierce United States
Diána Papp Hungary
Pabalu P. Karunadharma United States
Henok Kassahun Norway
Florence Solari relative to Doreen Kuhlow Germany Doreen Kuhlow's profile →
Citations per field
00.5×1.5×2.4×
Doreen Kuhlow · 1×
Citations per year

Countries citing papers authored by Florence Solari

Since Specialization
Citations

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

Fields of papers citing papers by Florence Solari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florence Solari, 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 Solari Line = papers co-authored together Florence Solari 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 2000128
2 2011107
3 1999102
4 201068
5 201060
6 200858
7 200554
8 201251
9 200851
10 199544
11 200539
12 201834
13 201433
14 201132
15 201431
16 199529
17 199626
18 202223
19 201223
20 199618

About Florence Solari

Florence Solari is a scholar working on Aging, Molecular Biology, Physiology, Endocrine and Autonomic Systems and Geriatrics and Gerontology, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Circadian rhythm and melatonin (6 papers), Spaceflight effects on biology (4 papers), Adipose Tissue and Metabolism (4 papers), Bone Metabolism and Diseases (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), FOXO transcription factor regulation (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Aging (415 citations), Geriatrics and Gerontology (90 citations), Endocrine and Autonomic Systems (137 citations), Molecular Biology (645 citations) and Physiology (238 citations). Florence Solari has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Julie Ahringer, Laurent Molin, Marc Billaud, Alex Bateman, Laurent Mouchiroud, Ingrid Masse, Pierre Jurdic, Hubert Vidal, Luciano Pirola and Lysiane Brocard. Their work appears in journals such as Aging Cell, Development, Journal of Cell Science, Molecular and Cellular Endocrinology and Cell Metabolism.

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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