L. Redaelli

21 papers receiving 360 citations

Peers

L. Redaelli
Comparison fields: 5 of 57
  • Clinical Biochemistry 72
  • Endocrinology, Diabetes and Metabolism 88
  • Obstetrics and Gynecology 32
  • Cardiology and Cardiovascular Medicine 83
  • Reproductive Medicine 29
Replace Kazuhiko Matsuzawa with:
Kazuhiko Matsuzawa Japan
N Mitsuhashi Japan
Maria Knapik‐Kordecka Poland
Shiao‐Ying Chang Canada
Ki-ichi Okumura Japan
Bahar Toptaş Türkiye
T Nishino Japan
Yanjun Wang China
Chi Chen China
Natalia Nowak Poland
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Citations per field
00.5×3.8×
Kazuhiko Matsuzawa · 1×
Citations per year

Countries citing papers authored by L. Redaelli

Since Specialization
Citations

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

Fields of papers citing papers by L. Redaelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006118
2 200893
3 200460
4 200324
5 201223
6 200523
7 19917
8 19936
9 19874
10 20223
11 20242
12 19882
13 20171
14 20121
15 20231
16 20191
17 20221
18 20191
19 20171
20 20241

About L. Redaelli

L. Redaelli is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Physiology, Reproductive Medicine and Surgery, having authored 23 papers that have together received 375 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diet, Metabolism, and Disease (4 papers), Diet and metabolism studies (3 papers), Blood Pressure and Hypertension Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Gynecological conditions and treatments (2 papers). The work is most often cited by research in Clinical Biochemistry (72 citations), Endocrinology, Diabetes and Metabolism (88 citations), Obstetrics and Gynecology (32 citations), Cardiology and Cardiovascular Medicine (83 citations) and Reproductive Medicine (29 citations). L. Redaelli has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Liliana Grigore, Alberico L. Catapano, Sara Raselli, Giuseppe Danilo Norata, F.M. Maggi, K. Garlaschelli, Per Eriksson, Anders Hamsten, G. Tibolla and G. Buccianti. Their work appears in journals such as Atherosclerosis, Nutrition Metabolism and Cardiovascular Diseases, Annals of Oncology, The Journal of Clinical Endocrinology & Metabolism and European Journal of Obstetrics & Gynecology and Reproductive Biology.

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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