Sofia Chiatamone Ranieri

24 papers receiving 724 citations

Peers

Sofia Chiatamone Ranieri
Comparison fields: 5 of 95
  • Aging 49
  • Geriatrics and Gerontology 42
  • Physiology 181
  • Biological Psychiatry 15
  • Endocrinology, Diabetes and Metabolism 92
Replace Yun‐Song Lee with:
Yun‐Song Lee South Korea
Chiara Gatti Italy
Manling Liu China
Edward G. Lynn Canada
Motoyuki Igata Japan
Vera Lemos Switzerland
Ninu Poulose United States
Stefania Di Mauro Italy
Justin Chapman United States
Marina C. Muñoz Argentina
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Citations per field
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Citations per year

Countries citing papers authored by Sofia Chiatamone Ranieri

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Chiatamone Ranieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofia Chiatamone Ranieri. 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 Sofia Chiatamone Ranieri. The network helps show where Sofia Chiatamone Ranieri may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011134
2 200893
3 201090
4 201780
5 200969
6 200864
7
Liver autoreactivity in acute virus A, B and non-A, non-B hepatitis.
198841
8 201535
9 201328
10 201027
11 201320
12 202213
13 20239
14 20199
15 20216
16 20234
17 20244
18 20193
19 20202
20 20242

About Sofia Chiatamone Ranieri

Sofia Chiatamone Ranieri is a scholar working on Molecular Biology, Physiology, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 29 papers that have together received 737 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Adipose Tissue and Metabolism (3 papers), COVID-19 diagnosis using AI (2 papers), Pleural and Pulmonary Diseases (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Digital Imaging for Blood Diseases (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Aging (49 citations), Geriatrics and Gerontology (42 citations), Physiology (181 citations), Biological Psychiatry (15 citations) and Endocrinology, Diabetes and Metabolism (92 citations). Sofia Chiatamone Ranieri has collaborated with scholars based in Italy, Lebanon and United States. Frequent co-authors include Giovambattista Pani, Salvatore Fusco, Tommaso Galeotti, Paolo Giorgi Rossi, Paola Ballotari, Valeria Manicardi, Marco De Spirito, Giuseppe Maulucci, Massimo Vicentini and Gabriele Toietta. Their work appears in journals such as Frontiers in Microbiology, Proceedings of the National Academy of Sciences, Journal of Digital Imaging, Clinical Chemistry and Laboratory Medicine (CCLM) and Aging.

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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