M. Cau

422 citations
8 papers · 335 · h-index 6

Impact in

  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Erythropoietin and Anemia Treatment
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • Neurogenetic and Muscular Disorders Research

Papers in

M. Cau

8 papers receiving 313 citations

Peers

M. Cau
Comparison fields: 5 of 38
  • Hematology 155
  • Genetics 143
  • Cardiology and Cardiovascular Medicine 91
  • Nutrition and Dietetics 54
  • Molecular Biology 137
Replace Т. Тодоров with:
Т. Тодоров Bulgaria
Stephanie Sontag Germany
Amandine Perrin Germany
Sara Luscieti Italy
Michael A. Bukys United States
Yumiko Yamauchi Japan
Michael Yau United Kingdom
Emine İkbal Atlı Türkiye
Ruiji Jiang United States
Victor Luu United States
M. Cau relative to Т. Тодоров Bulgaria Т. Тодоров's profile →
Citations per field
00.5×2×4×6×8.4×
Т. Тодоров · 1×
Citations per year

Countries citing papers authored by M. Cau

Since Specialization
Citations

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

Fields of papers citing papers by M. Cau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2008151
2 199771
3 199858
4 199326
5 200820
6 19936
7
A report on 528 intragenic deletions detected in DMD and BMD patients by an Italian collaborative study.
19942
8 19931

About M. Cau

M. Cau is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Cellular and Molecular Neuroscience and Biomaterials, having authored 8 papers that have together received 335 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Cardiomyopathy and Myosin Studies (4 papers), Ubiquitin and proteasome pathways (1 paper), Silk-based biomaterials and applications (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), Hemoglobinopathies and Related Disorders (1 paper), RNA regulation and disease (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Hematology (155 citations), Genetics (143 citations), Cardiology and Cardiovascular Medicine (91 citations), Nutrition and Dietetics (54 citations) and Molecular Biology (137 citations). M. Cau has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Antonio Cao, R. Galanello, Rita Congiu, Maria Antonietta Melis, M. Cazzola, Susanna Barella, M. Westerman, Gabriella Sole, Francesco Muntoni and Anna Mateddu. Their work appears in journals such as Heart, Developmental Medicine & Child Neurology, Haematologica, Public Health Genomics and Journal of Neurology Neurosurgery & Psychiatry.

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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