Roberta De Mori

1.4k citations
14 papers · 1.0k · h-index 10

Impact in

Papers in

    • Muscle Physiology and Disorders 4
    • Renal and related cancers 2
    • Congenital heart defects research 2
    • Genetic and Kidney Cyst Diseases 3
    • Genetic Syndromes and Imprinting 2

Roberta De Mori

13 papers receiving 1.0k citations

Peers

Roberta De Mori
Comparison fields: 5 of 83
  • Clinical Biochemistry 117
  • Rehabilitation 103
  • Genetics 110
  • Molecular Biology 643
  • Surgery 238
Replace Mika Wada with:
Mika Wada Japan
Alessandra Castiglioni United States
Mark Luquette United States
Aurélie Guguin France
S. Williams United States
Vijesh Vaghjiani Australia
Sandra Heller Germany
Nicol Poncina Italy
Clementina Sitzia Italy
Manon C. Zweers Netherlands
Roberta De Mori relative to Mika Wada Japan Mika Wada's profile →
Citations per field
00.5×3.5×
Mika Wada · 1×
Citations per year

Countries citing papers authored by Roberta De Mori

Since Specialization
Citations

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

Fields of papers citing papers by Roberta De Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberta De Mori. 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 Roberta De Mori. The network helps show where Roberta De Mori may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2008201
2 2007173
3 2008139
4 2004114
5 2009110
6 201698
7 200781
8 200447
9 201039
10 201113
11 20245
12 20145
13
[Serum inhibitor active against hemolytic activity of polychlorinated biphenyls (author's transl)].
19791
14 20260

About Roberta De Mori

Roberta De Mori is a scholar working on Molecular Biology, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Rehabilitation, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Genetic and Kidney Cyst Diseases (3 papers), Genetic Syndromes and Imprinting (2 papers), Renal and related cancers (2 papers), Congenital heart defects research (2 papers), Advanced Glycation End Products research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Diabetic Foot Ulcer Assessment and Management (2 papers). The work is most often cited by research in Clinical Biochemistry (117 citations), Rehabilitation (103 citations), Genetics (110 citations), Molecular Biology (643 citations) and Surgery (238 citations). Roberta De Mori has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Maurizio C. Capogrossi, Antonia Germani, Anna Di Carlo, Antonella Mangoni, Giulio Pompilio, Fabio Martelli, Stefania Straino, Federica Limana, David Mocini and Antonella Zacheo. Their work appears in journals such as Cell and Tissue Research, Circulation, Cells, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Biological Chemistry.

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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