Anna Casu

2.3k citations
91 papers · 1.7k · h-index 19

Impact in

  • Surgery top 5%
    • Pancreatic function and diabetes
    • Xenotransplantation and immune response
  • Genetics top 5%
    • Diabetes and associated disorders

Papers in

Anna Casu

82 papers receiving 1.7k citations

Peers

Anna Casu
Comparison fields: 5 of 98
  • Surgery 815
  • Genetics 558
  • Endocrinology, Diabetes and Metabolism 290
  • Clinical Biochemistry 110
  • Biochemistry 77
Replace Ken Katagiri with:
Ken Katagiri Japan
Michel Fay France
Zhiguang Su China
H. Preiser United States
Liang Xu China
F. Märki Switzerland
В. В. Носиков Russia
Alice G.M. Bot Netherlands
Akihiro Moriuchi Japan
Yoshio Aizawa Japan
Anna Casu relative to Ken Katagiri Japan Ken Katagiri's profile →
Citations per field
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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 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967254
2 2009230
3 2007145
4 201298
5 196685
6 200780
7 200469
8 200969
9 200947
10 201840
11
Seasonality of month of birth of children and adolescents with type 1 diabetes mellitus in homogenous and heterogeneous populations.
200534
12 201033
13 202232
14 201027
15 201726
16 202224
17 200124
18 200823
19 201122
20 200716

About Anna Casu

Anna Casu is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Genetics and Pharmacology, having authored 91 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes and associated disorders (18 papers), Pancreatic function and diabetes (15 papers), Diabetes Management and Research (15 papers), Drug-Induced Hepatotoxicity and Protection (9 papers), Xenotransplantation and immune response (7 papers), Drug Transport and Resistance Mechanisms (7 papers), Rabbits: Nutrition, Reproduction, Health (6 papers) and Coccidia and coccidiosis research (5 papers). The work is most often cited by research in Surgery (815 citations), Genetics (558 citations), Endocrinology, Diabetes and Metabolism (290 citations), Clinical Biochemistry (110 citations) and Biochemistry (77 citations). Anna Casu has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include David K. C. Cooper, Rita Bottino, Becca Fleischer, Sidney Fleischer, Dirk J. van der Windt, Nathalie Campanile, George Rouser, Massimo Trucco, Gene Kritchevsky and Hidetaka Hara. Their work appears in journals such as Diabetes, Life Sciences, Diabetes Care, Cellular and Molecular Life Sciences and Xenotransplantation.

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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