Massimo D’Amore

491 citations
18 papers · 409 · h-index 12

Impact in

Papers in

    • Salivary Gland Disorders and Functions 10
    • Glycosylation and Glycoproteins Research 3
    • Protein Tyrosine Phosphatases 2

Massimo D’Amore

18 papers receiving 406 citations

Peers

Massimo D’Amore
Comparison fields: 5 of 69
  • Physiology 176
  • Immunology and Allergy 37
  • Immunology 125
  • Oncology 112
  • Cancer Research 59
Replace Krisztina Szabó with:
Krisztina Szabó Hungary
Maria Winzer Germany
Élodie Rivière France
Ahu Turkoz United States
Sara Sjöberg Sweden
Maria Juárez United Kingdom
Shengxian Shen China
Ana P. Lopes Netherlands
Simon Rauber Germany
Heidi Wong United States
Massimo D’Amore relative to Krisztina Szabó Hungary Krisztina Szabó's profile →
Citations per field
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Krisztina Szabó · 1×
Citations per year

Countries citing papers authored by Massimo D’Amore

Since Specialization
Citations

This map shows the geographic impact of Massimo 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 Massimo 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 Massimo D’Amore more than expected).

Fields of papers citing papers by Massimo D’Amore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Massimo 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 Massimo D’Amore Line = papers co-authored together Massimo D’Amore links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201466
2 201152
3 201150
4 200939
5 201036
6 201233
7 201322
8 201020
9 200919
10 201415
11 201415
12 201312
13 200911
14 200811
15 20093
16
[RANKL/RANK, OPG and OPT in a group of patients affected by chronic arthritis. Preliminary report].
20052
17
[Complication after vertebroplasty in patient with senile osteoporosis: strategical therapy to revise?].
20062
18
[Asymptomatic hyper-creatine-phosphokinasemia: a veritable disease? Observation in some cases].
20051

About Massimo D’Amore

Massimo D’Amore is a scholar working on Physiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Immunology, having authored 18 papers that have together received 409 indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), NF-κB Signaling Pathways (4 papers), Immune Response and Inflammation (3 papers), Glycosylation and Glycoproteins Research (3 papers), Lymphatic System and Diseases (2 papers), Protein Tyrosine Phosphatases (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Physiology (176 citations), Immunology and Allergy (37 citations), Immunology (125 citations), Oncology (112 citations) and Cancer Research (59 citations). Massimo D’Amore has collaborated with scholars based in Italy. Frequent co-authors include Sabrina Lisi, Margherita Sisto, Dario Domenico Lofrumento, Giuseppe Ingravallo, Vincenzo Mitolo, Eugenio Maiorano, Simona D’Amore, Doménico Ribatti, Maria Antonia Frassanito and Maria Felicia Faienza. Their work appears in journals such as Clinical and Experimental Medicine, Histochemistry and Cell Biology, Immunobiology, The Journal of Clinical Endocrinology & Metabolism and Immunology.

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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