Daniela Antuzzi

33 papers receiving 590 citations

Peers

Daniela Antuzzi
Comparison fields: 5 of 76
  • Physiology 381
  • Rheumatology 104
  • Clinical Biochemistry 41
  • Cell Biology 90
  • Epidemiology 152
Replace Beatriz San Millán with:
Beatriz San Millán Spain
M. A. H. Giesberts Netherlands
Giulia Polo Italy
Alain Fouilhoux France
J Calvin United Kingdom
Elisabeth Jameson United Kingdom
Benjamin Brown United States
Yuki Wada Japan
Helen Mundy United Kingdom
Atsuko Noguchi Japan
Daniela Antuzzi relative to Beatriz San Millán Spain Beatriz San Millán's profile →
Citations per field
00.5×2.6×
Beatriz San Millán · 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 2004205
2 199943
3 200941
4 201235
5 200332
6 200432
7 200530
8 201226
9 201321
10 201514
11
Cervical myelopathy in mucopolysaccharidosis type IV.
199914
12 201813
13 201613
14 200012
15 200311
16 200511
17 200810
18 20019
19 20219
20 20117

About Daniela Antuzzi

Daniela Antuzzi is a scholar working on Physiology, Molecular Biology, Epidemiology, Cell Biology and Surgery, having authored 35 papers that have together received 623 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (20 papers), Trypanosoma species research and implications (6 papers), Cellular transport and secretion (6 papers), Glycosylation and Glycoproteins Research (4 papers), Spinal Dysraphism and Malformations (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Autoimmune Bullous Skin Diseases (2 papers) and Urinary Bladder and Prostate Research (2 papers). The work is most often cited by research in Physiology (381 citations), Rheumatology (104 citations), Clinical Biochemistry (41 citations), Cell Biology (90 citations) and Epidemiology (152 citations). Daniela Antuzzi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Andrea Frustaci, Emanuela Morgante, Cristina Chimenti, Matteo Antonio Russo, Maurizio Pieroni, Andrea Russo, Attilio Maseri, Anna Zampetti, Amelia Morrone and Claudio Feliciani. Their work appears in journals such as Molecular Genetics and Metabolism, Human Mutation, British Journal of Dermatology, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology 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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