Agnese Persichetti

27 papers receiving 695 citations

Peers

Agnese Persichetti
Comparison fields: 5 of 76
  • Geriatrics and Gerontology 83
  • Endocrinology, Diabetes and Metabolism 268
  • Physiology 311
  • Health Informatics 13
  • Reproductive Medicine 38
Replace A.J.S. Bhanwer with:
A.J.S. Bhanwer India
Huang-Ping Yu United States
Panwei Mu China
Weiqiong Gu China
Tania Quesada‐López Spain
Kiyomi Saito Japan
Montserrat Cairó Spain
Mahendra Prasad Bhatt South Korea
Fernando M. A. Giuffrida Brazil
Élodie Riant France
Agnese Persichetti relative to A.J.S. Bhanwer India A.J.S. Bhanwer's profile →
Citations per field
00.5×7.6×
A.J.S. Bhanwer · 1×
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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014102
2 2020102
3 202067
4 201859
5 201355
6 202044
7 201438
8 201536
9 201235
10 201833
11 202019
12 201916
13 202216
14 201913
15 202011
16 201810
17 20218
18 20238
19 20207
20 20236

About Agnese Persichetti

Agnese Persichetti is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 702 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Thyroid and Parathyroid Surgery (6 papers), Nutritional Studies and Diet (4 papers), Diet and metabolism studies (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Adipose Tissue and Metabolism (3 papers), Fibroblast Growth Factor Research (3 papers) and Muscle metabolism and nutrition (3 papers). The work is most often cited by research in Geriatrics and Gerontology (83 citations), Endocrinology, Diabetes and Metabolism (268 citations), Physiology (311 citations), Health Informatics (13 citations) and Reproductive Medicine (38 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, Andrea Lenzi, Mikiko Watanabe, Daniela Fiore, Alfredo Genco and Enrico Papini. Their work appears in journals such as Frontiers in Endocrinology, The Journal of Clinical Endocrinology & Metabolism, International Journal of Hyperthermia, PLoS ONE 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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