Anna Casu

2.3k citations
95 papers · 1.9k · h-index 22

Impact in

  • Surgery top 5%
    • Xenotransplantation and immune response
    • Pancreatic function and diabetes
    • Lipid metabolism and biosynthesis

Papers in

Anna Casu

90 papers receiving 1.8k citations

Peers

Anna Casu
Comparison fields: 5 of 100
  • Surgery 805
  • Biochemistry 95
  • Hepatology 89
  • Endocrinology, Diabetes and Metabolism 162
  • Genetics 252
Replace Song‐iee Han with:
Song‐iee Han Japan
Horacio Rilo United States
Piero Pingitore Sweden
O. Dhodanand Kowlessar United States
Calvin A. Saravis United States
Franck Chiappini France
William J. Longmore United States
Jeffrey D. Edelson Canada
Zeenat A. Shyr United States
Oliver P. Flint United States
Anna Casu relative to Song‐iee Han Japan Song‐iee Han's profile →
Citations per field
00.5×2×3×4.0×
Song‐iee Han · 1×
Citations per year

Countries citing papers authored by Anna Casu

Since Specialization
Citations

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

Fields of papers citing papers by Anna Casu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967252
2 2009234
3 2007151
4 2012101
5 196684
6 200783
7 200973
8 200471
9 199970
10 200951
11 201841
12
Seasonality of month of birth of children and adolescents with type 1 diabetes mellitus in homogenous and heterogeneous populations.
200535
13 202233
14 201032
15 201030
16 200828
17 202228
18 200127
19 201727
20 202425

About Anna Casu

Anna Casu is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology, Surgery, Molecular Biology and Pharmacology, having authored 95 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes Management and Research (16 papers), Pancreatic function and diabetes (14 papers), Liver physiology and pathology (11 papers), Diabetes and associated disorders (10 papers), Cholesterol and Lipid Metabolism (7 papers), Extracellular vesicles in disease (7 papers), Drug-Induced Hepatotoxicity and Protection (6 papers) and Mitochondrial Function and Pathology (6 papers). The work is most often cited by research in Surgery (805 citations), Biochemistry (95 citations), Hepatology (89 citations), Endocrinology, Diabetes and Metabolism (162 citations) and Genetics (252 citations). Anna Casu has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include David K. C. Cooper, Rita Bottino, Becca Fleischer, Sidney Fleischer, Dirk J. van der Windt, Nathalie Campanile, Massimo Trucco, Gene Kritchevsky, George Rouser and Hidetaka Hara. Their work appears in journals such as Diabetes, Diabetes Care, Life Sciences, Xenotransplantation and Cellular and Molecular Life Sciences.

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.

Explore authors with similar magnitude of impact