Anna Sepe

1.1k citations
8 papers · 925 · 1 hit paper · h-index 7

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 5%
    • Telomeres, Telomerase, and Senescence
    • Adipose Tissue and Metabolism
    • Nutrition and Health in Aging

Papers in

Anna Sepe

8 papers receiving 916 citations

Anna Sepe's Hit Papers

Targeting senescent cells enhances adipogenesis and metabolic function in old age 2015 · 480 citations
4800+3+7Years since publication100200300400

Peers

Anna Sepe
Comparison fields: 5 of 80
  • Aging 93
  • Physiology 531
  • Cardiology and Cardiovascular Medicine 211
  • Geriatrics and Gerontology 23
  • Epidemiology 222
Replace Nassir M Thalji with:
Nassir M Thalji United States
Carolyn M Roos United States
Michael A Hagler United States
Marie-Adeline Marqués France
Andrew Cartwright United States
Yuwei Jiang United States
James Wordsworth United Kingdom
Anthony B. Lagnado United States
Ju Hee Lee Canada
Ailing Xue United States
Anna Sepe relative to Nassir M Thalji United States Nassir M Thalji's profile →
Citations per field
00.5×1.7×
Nassir M Thalji · 1×
Citations per year

Countries citing papers authored by Anna Sepe

Since Specialization
Citations

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

Fields of papers citing papers by Anna Sepe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Targeting senescent cells enhances adipogenesis and metabolic function in old age
Hit paper breakdown →
2015480
2 2010189
3 201096
4 201364
5 201047
6 200930
7 201514
8 20175

About Anna Sepe

Anna Sepe is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Physiology, Immunology and Molecular Biology, having authored 8 papers that have together received 925 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Cardiovascular Disease and Adiposity (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Adipose Tissue and Metabolism (2 papers), Body Composition Measurement Techniques (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Sports injuries and prevention (1 paper) and Lipid metabolism and disorders (1 paper). The work is most often cited by research in Aging (93 citations), Physiology (531 citations), Cardiology and Cardiovascular Medicine (211 citations), Geriatrics and Gerontology (23 citations) and Epidemiology (222 citations). Anna Sepe has collaborated with scholars based in Italy and United States. Frequent co-authors include Tamar Tchkonia, James L. Kirkland, Mauro Zamboni, Thomas Thomou, Michael D. Jensen, Ming Xu, Husheng Ding, Kurt O. Johnson, Nathan K. LeBrasseur and Michael B. Stout. Their work appears in journals such as Obesity, Biogerontology, The Journal of Clinical Endocrinology & Metabolism, Gerontology and eLife.

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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