Simona D’Amore

52 papers receiving 767 citations

Peers

Simona D’Amore
Comparison fields: 5 of 86
  • Biochemistry 49
  • Cancer Research 98
  • Pathology and Forensic Medicine 111
  • Oncology 113
  • Physiology 109
Replace Martin F. Reiner with:
Martin F. Reiner Switzerland
Jaap van Doorn Netherlands
Heba F. Pasha Egypt
Marina Pauwels Belgium
Lara E. Sucheston‐Campbell United States
Misaki Iwashita Japan
Chih-Pei Lin Taiwan
Stefania Momi Italy
Armando J. Mendez United States
Lovisa Lundholm Sweden
Simona D’Amore relative to Martin F. Reiner Switzerland Martin F. Reiner's profile →
Citations per field
00.5×2.7×
Martin F. Reiner · 1×
Citations per year

Countries citing papers authored by Simona D’Amore

Since Specialization
Citations

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

Fields of papers citing papers by Simona D’Amore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simona D’Amore. 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 Simona D’Amore. The network helps show where Simona D’Amore may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200296
2 201695
3 200581
4 201577
5 201555
6 201844
7 202230
8 201428
9 201323
10 201221
11 201020
12
Osteoprotegerin and RANKL in the pathogenesis of osteoporosis in patients with thalassaemia major.
200919
13 199817
14 201816
15 200915
16 199315
17 200914
18 201113
19 199112
20 202211

About Simona D’Amore

Simona D’Amore is a scholar working on Molecular Biology, Physiology, Rheumatology, Surgery and Epidemiology, having authored 59 papers that have together received 795 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (7 papers), Bone health and treatments (5 papers), Bone and Dental Protein Studies (3 papers), Cholesterol and Lipid Metabolism (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Bone Metabolism and Diseases (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Biochemistry (49 citations), Cancer Research (98 citations), Pathology and Forensic Medicine (111 citations), Oncology (113 citations) and Physiology (109 citations). Simona D’Amore has collaborated with scholars based in Italy, United Kingdom and Sweden. Frequent co-authors include Giuseppe Palasciano, Michèle Vacca, Antonio Moschetta, Giusi Graziano, Marica Cariello, Carlo Sabbà, Andria D’Orazio, Roberto Salvia, Francesco Paolo Cantatore and Margherita Fanelli. Their work appears in journals such as Clinical Rheumatology, PLoS ONE, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Cardiovascular Research and Orphanet Journal of Rare Diseases.

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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