Sara Raselli

1.5k citations
20 papers · 1.3k · h-index 16

Impact in

    • Adipokines, Inflammation, and Metabolic Diseases
    • Liver Disease Diagnosis and Treatment
    • Advanced Glycation End Products research

Papers in

Sara Raselli

20 papers receiving 1.2k citations

Peers

Sara Raselli
Comparison fields: 5 of 76
  • Epidemiology 491
  • Clinical Biochemistry 101
  • Endocrinology, Diabetes and Metabolism 235
  • Cardiology and Cardiovascular Medicine 234
  • Endocrine and Autonomic Systems 58
Replace K. Garlaschelli with:
K. Garlaschelli Italy
Hye Kyoung Song South Korea
Masahiro Koseki Japan
J. Hulthe Sweden
Kaoru Takemura Japan
Andreas Stadlmayr Austria
Yuelan Ren United States
K Kozaki Japan
In Suck Choi South Korea
Michele Nutini Italy
Sara Raselli relative to K. Garlaschelli Italy K. Garlaschelli's profile →
Citations per field
00.5×1.5×
K. Garlaschelli · 1×
Citations per year

Countries citing papers authored by Sara Raselli

Since Specialization
Citations

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

Fields of papers citing papers by Sara Raselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2008177
2 2007173
3 2007166
4 2006116
5 200893
6 200569
7 200968
8 200964
9 200458
10 200752
11 200651
12 200640
13 200635
14 200931
15 200629
16 201223
17 200712
18 20063
19 20071
20 20041

About Sara Raselli

Sara Raselli is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology and Oncology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Cardiovascular Health and Disease Prevention (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Fatty Acid Research and Health (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Epidemiology (491 citations), Clinical Biochemistry (101 citations), Endocrinology, Diabetes and Metabolism (235 citations), Cardiology and Cardiovascular Medicine (234 citations) and Endocrine and Autonomic Systems (58 citations). Sara Raselli has collaborated with scholars based in Italy, Sweden and Russia. Frequent co-authors include Alberico L. Catapano, Liliana Grigore, Giuseppe Danilo Norata, K. Garlaschelli, F.M. Maggi, M. Ongari, L. Redaelli, G. Buccianti, Elena Dozio and Paolo Magni. Their work appears in journals such as Atherosclerosis, Nutrition Metabolism and Cardiovascular Diseases, Journal of Internal Medicine, Stroke and Nephrology Dialysis Transplantation.

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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