Chiara Stranieri

52 papers receiving 1.8k citations

Peers

Chiara Stranieri
Comparison fields: 5 of 111
  • Cardiology and Cardiovascular Medicine 485
  • Endocrinology, Diabetes and Metabolism 290
  • Biochemistry 111
  • Biochemistry 85
  • Hematology 130
Replace Masahiro Nezu with:
Masahiro Nezu Japan
Óscar Beloqui Spain
Seok Joon Shin South Korea
Valéria C. Sandrim Brazil
Sungjin Chung South Korea
Sonia Eligini Italy
Sandrine Delbosc France
Günther Silbernagel Austria
Saša Frank Austria
Kyung Pyo Kang South Korea
Chiara Stranieri relative to Masahiro Nezu Japan Masahiro Nezu's profile →
Citations per field
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Masahiro Nezu · 1×
Citations per year

Countries citing papers authored by Chiara Stranieri

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Stranieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015152
2 2005105
3 2003102
4 200986
5 200475
6 200872
7 201261
8 200258
9 200756
10 202151
11 201250
12 200250
13 202149
14 200348
15 202047
16 200445
17 200745
18 200744
19 201143
20
Biochemical and genetic markers of iron status and the risk of coronary artery disease: an angiography-based study.
200240

About Chiara Stranieri

Chiara Stranieri is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine and Rheumatology, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (6 papers), Folate and B Vitamins Research (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Renin-Angiotensin System Studies (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Hormonal Regulation and Hypertension (4 papers) and Apelin-related biomedical research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (485 citations), Endocrinology, Diabetes and Metabolism (290 citations), Biochemistry (111 citations), Biochemistry (85 citations) and Hematology (130 citations). Chiara Stranieri has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Luciano Cominacini, Ulisse Garbin, Chiara Mozzini, Anna Fratta Pasini, Anna Maria Fratta Pasini, Domenico Girelli, Pier Franco Pignatti, Oliviero Olivieri, Roberto Corrocher and Paola Vallerio. Their work appears in journals such as Antioxidants, PLoS ONE, Journal of Hypertension, Free Radical Biology and Medicine and American Journal of Hypertension.

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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