Agnese Persichetti

1.1k citations
31 papers · 755 · h-index 15

Impact in

Papers in

Agnese Persichetti

28 papers receiving 743 citations

Peers

Agnese Persichetti
Comparison fields: 5 of 70
  • Geriatrics and Gerontology 92
  • Endocrinology, Diabetes and Metabolism 245
  • Physiology 283
  • Health Informatics 8
  • Reproductive Medicine 40
Replace Jinmi Lee with:
Jinmi Lee South Korea
Montserrat Cairó Spain
Hou-Hsien Chiang United States
Weiqiong Gu China
Élodie Riant France
Kiyomi Saito Japan
Cheng‐Chih Chung Taiwan
Jingrong Lin China
Junnosuke Miura Japan
Francesc Ribas‐Aulinas Spain
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Citations per field
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Citations per year

Countries citing papers authored by Agnese Persichetti

Since Specialization
Citations

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

Fields of papers citing papers by Agnese Persichetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 2014106
3 202071
4 201861
5 201355
6 202049
7 201242
8 201441
9 201537
10 201834
11 202020
12 202219
13 201918
14 201914
15 202014
16 201811
17 20239
18 20218
19 20207
20 20236

About Agnese Persichetti

Agnese Persichetti is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Oncology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 755 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (10 papers), Diet and metabolism studies (4 papers), Bone Tumor Diagnosis and Treatments (3 papers), Nutritional Studies and Diet (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Muscle metabolism and nutrition (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Geriatrics and Gerontology (92 citations), Endocrinology, Diabetes and Metabolism (245 citations), Physiology (283 citations), Health Informatics (8 citations) and Reproductive Medicine (40 citations). Agnese Persichetti has collaborated with scholars based in Italy, Malaysia and Denmark. Frequent co-authors include Lucio Gnessi, Sabrina Basciani, Carla Lubrano, Stefania Mariani, Savina Contini, Mikiko Watanabe, Andrea Lenzi, Daniela Fiore, Alfredo Genco and Enrico Papini. Their work appears in journals such as Frontiers in Endocrinology, The Journal of Clinical Endocrinology & Metabolism, PLoS ONE, International Journal of Hyperthermia and Nutrients.

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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