Anna Sepe

1.1k citations
8 papers · 890 · 1 hit paper · h-index 7

Impact in

  • Aging top 5%
    • 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 882 citations

Anna Sepe's Hit Papers

Targeting senescent cells enhances adipogenesis and metabolic function in old age 2015 · 460 citations
4600+3+7Years since publication100200300400

Peers

Anna Sepe
Comparison fields: 5 of 83
  • Aging 88
  • Physiology 539
  • Cardiology and Cardiovascular Medicine 218
  • Geriatrics and Gerontology 28
  • Epidemiology 235
Replace Carolyn M Roos with:
Carolyn M Roos United States
James Chapman United Kingdom
Emily Dookun United Kingdom
Marie-Adeline Marqués France
Ailing Xue United States
Yuwei Jiang United States
Klaus‐Peter Thon Germany
Yusuke Joki Japan
Ana Cardus Figueras Spain
Chikara Ebisui Japan
Anna Sepe relative to Carolyn M Roos United States Carolyn M Roos's profile →
Citations per field
00.5×1.5×2.4×
Carolyn M Roos · 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 →
2015460
2 2010182
3 201091
4 201364
5 201046
6 200928
7 201514
8 20175

About Anna Sepe

Anna Sepe is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Physiology, Immunology and Surgery, having authored 8 papers that have together received 890 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Cardiovascular Disease and Adiposity (3 papers), Adipose Tissue and Metabolism (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Body Composition Measurement Techniques (1 paper), Atrial Fibrillation Management and Outcomes (1 paper), Lipid metabolism and biosynthesis (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Aging (88 citations), Physiology (539 citations), Cardiology and Cardiovascular Medicine (218 citations), Geriatrics and Gerontology (28 citations) and Epidemiology (235 citations). Anna Sepe has collaborated with scholars based in Italy and United States. Frequent co-authors include James L. Kirkland, Tamar Tchkonia, Mauro Zamboni, Thomas Thomou, Husheng Ding, Michael B. Stout, Michael D. Jensen, Kurt O. Johnson, Thomas A. White and Nathan K. LeBrasseur. Their work appears in journals such as Cardiovascular Pathology, Gerontology, Biogerontology, Heart and Vessels 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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