Daniela Antuzzi

1.2k citations
35 papers · 579 · h-index 13

Impact in

  • Physiology top 5%
    • Lysosomal Storage Disorders Research
  • Rheumatology top 10%
    • Glycogen Storage Diseases and Myoclonus

Papers in

    • Lysosomal Storage Disorders Research 20
    • Trypanosoma species research and implications 9

Daniela Antuzzi

33 papers receiving 558 citations

Peers

Daniela Antuzzi
Comparison fields: 5 of 78
  • Physiology 375
  • Rheumatology 136
  • Cell Biology 103
  • Epidemiology 205
  • Clinical Biochemistry 34
Replace M. A. H. Giesberts with:
M. A. H. Giesberts Netherlands
J Calvin United Kingdom
Helen Mundy United Kingdom
Ya Qiu China
M. P. Champion United Kingdom
Elisabeth Jameson United Kingdom
Jiangwei Zhang China
Benjamin Brown United States
Ji Min Kim South Korea
Anthony G. Jay United States
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Citations per field
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M. A. H. Giesberts · 1×
Citations per year

Countries citing papers authored by Daniela Antuzzi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Antuzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004189
2 200942
3 199939
4 200432
5 201229
6 200329
7 200529
8 201225
9 201321
10 201514
11 201613
12 201813
13 200012
14 200810
15 20019
16 20059
17 20219
18
Cervical myelopathy in mucopolysaccharidosis type IV.
19999
19 20117
20 20037

About Daniela Antuzzi

Daniela Antuzzi is a scholar working on Physiology, Epidemiology, Cell Biology, Molecular Biology and Rheumatology, having authored 35 papers that have together received 579 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (20 papers), Cellular transport and secretion (9 papers), Trypanosoma species research and implications (9 papers), Glycosylation and Glycoproteins Research (4 papers), Spinal Dysraphism and Malformations (3 papers), Urinary Bladder and Prostate Research (2 papers), Cerebrospinal fluid and hydrocephalus (2 papers) and Studies on Chitinases and Chitosanases (2 papers). The work is most often cited by research in Physiology (375 citations), Rheumatology (136 citations), Cell Biology (103 citations), Epidemiology (205 citations) and Clinical Biochemistry (34 citations). Daniela Antuzzi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Cristina Chimenti, Andrea Frustaci, Matteo Antonio Russo, Emanuela Morgante, Maurizio Pieroni, Attilio Maseri, Andrea Russo, Anna Zampetti, Amelia Morrone and Claudio Feliciani. Their work appears in journals such as Molecular Genetics and Metabolism, British Journal of Dermatology, Human Mutation, Human Pathology and Circulation.

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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