Anna Sepe

1.1k total citations · 1 hit paper
8 papers, 890 citations indexed

About

Anna Sepe is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Physiology. According to data from OpenAlex, Anna Sepe has authored 8 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Epidemiology and 5 papers in Physiology. Recurrent topics in Anna Sepe's work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Cardiovascular Disease and Adiposity (3 papers) and Adipose Tissue and Metabolism (3 papers). Anna Sepe is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (5 papers), Cardiovascular Disease and Adiposity (3 papers) and Adipose Tissue and Metabolism (3 papers). Anna Sepe collaborates with scholars based in Italy and United States. Anna Sepe's co-authors include James L. Kirkland, Tamar Tchkonia, Mauro Zamboni, Thomas Thomou, Allyson K. Palmer, Megan Weivoda, Ming Xu, Tamar Pirtskhalava, Thomas A. White and Michael D. Jensen and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, eLife and Obesity.

In The Last Decade

Anna Sepe

8 papers receiving 882 citations

Hit Papers

Targeting senescent cells enhances adipogenesis and metab... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna Sepe Italy 7 539 235 218 217 142 8 890
Carolyn M Roos United States 7 467 0.9× 99 0.4× 128 0.6× 280 1.3× 70 0.5× 26 949
James Chapman United Kingdom 9 235 0.4× 76 0.3× 114 0.5× 268 1.2× 51 0.4× 11 620
Marie-Adeline Marqués France 12 437 0.8× 279 1.2× 181 0.8× 157 0.7× 72 0.5× 15 707
Yuwei Jiang United States 15 651 1.2× 460 2.0× 180 0.8× 228 1.1× 74 0.5× 25 908
Chikara Ebisui Japan 15 395 0.7× 148 0.6× 61 0.3× 555 2.6× 133 0.9× 72 1.2k
Emily Dookun United Kingdom 7 275 0.5× 44 0.2× 76 0.3× 190 0.9× 43 0.3× 7 482
Ana Cardus Figueras Spain 15 139 0.3× 85 0.4× 77 0.4× 278 1.3× 102 0.7× 22 1.2k
Yusuke Joki Japan 13 295 0.5× 274 1.2× 285 1.3× 314 1.4× 98 0.7× 23 833
Xiang Zhao China 16 213 0.4× 170 0.7× 162 0.7× 402 1.9× 179 1.3× 34 1.1k
Klaus‐Peter Thon Germany 16 390 0.7× 55 0.2× 34 0.2× 103 0.5× 315 2.2× 22 801

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-authorship network of co-authors of Anna Sepe

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Sepe. A scholar is included among the top collaborators of Anna Sepe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna Sepe. Anna Sepe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Sepe, Anna, et al.. (2017). Can we reliably predict the level of anticoagulation after enoxaparin injection in elderly patients with renal failure?. Aging Clinical and Experimental Research. 30(6). 605–608. 5 indexed citations
2.
Mazzali, Gloria, Francesco Fantin, Elena Zoico, et al.. (2015). Heart Fat Infiltration In Subjects With and Without Coronary Artery Disease. The Journal of Clinical Endocrinology & Metabolism. 100(9). 3364–3371. 14 indexed citations
3.
Xu, Ming, Allyson K. Palmer, Husheng Ding, et al.. (2015). Targeting senescent cells enhances adipogenesis and metabolic function in old age. eLife. 4. e12997–e12997. 460 indexed citations breakdown →
4.
Bambace, Clara, Anna Sepe, Elena Zoico, et al.. (2013). Inflammatory profile in subcutaneous and epicardial adipose tissue in men with and without diabetes. Heart and Vessels. 29(1). 42–48. 64 indexed citations
5.
Sepe, Anna, Tamar Tchkonia, Thomas Thomou, Mauro Zamboni, & James L. Kirkland. (2010). Aging and Regional Differences in Fat Cell Progenitors – A Mini-Review. Gerontology. 57(1). 66–75. 182 indexed citations
6.
Bambace, Clara, Elena Zoico, Anna Sepe, et al.. (2010). Adiponectin gene expression and adipocyte diameter: a comparison between epicardial and subcutaneous adipose tissue in men. Cardiovascular Pathology. 20(5). e153–e156. 91 indexed citations
7.
Rossi, Andrea P., Elena Zoico, Bret H. Goodpaster, et al.. (2010). Quantification of Intermuscular Adipose Tissue in the Erector Spinae Muscle by MRI: Agreement With Histological Evaluation. Obesity. 18(12). 2379–2384. 46 indexed citations
8.
Zoico, Elena, Vincenzo Di Francesco, Debora Olioso, et al.. (2009). In vitro aging of 3T3-L1 mouse adipocytes leads to altered metabolism and response to inflammation. Biogerontology. 11(1). 111–122. 28 indexed citations

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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