Daniela Coltrini

2.7k citations
52 papers · 2.2k indexed · h-index 28

Impact in

  • Immunology top 5%
    • Biomarkers in Disease Mechanisms
    • Immune Cell Function and Interaction
    • Proteoglycans and glycosaminoglycans research

Papers in

    • Proteoglycans and glycosaminoglycans research 12
    • Biomarkers in Disease Mechanisms 11
    • Immune Cell Function and Interaction 4

Daniela Coltrini

52 papers receiving 2.2k citations

Peers

Daniela Coltrini
Comparison fields: 5 of 108
  • Immunology 681
  • Cell Biology 381
  • Clinical Biochemistry 139
  • Cancer Research 290
  • Molecular Biology 1.3k
Replace Silvia Montaner with:
Silvia Montaner United States
Jillian Nicholl Australia
Chiharu Uchida Japan
John M. Herndon United States
Parmesh Dutt United States
Hiroaki Ikushima Japan
Anne Dubart‐Kupperschmitt France
Ekkehart Lausch Germany
Akrit Sodhi United States
Pieter De Bleser Belgium
Daniela Coltrini relative to Silvia Montaner United States Silvia Montaner's profile →
Citations per field
00.5×4.5×
Silvia Montaner · 1×
Citations per year

Countries citing papers authored by Daniela Coltrini

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Coltrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202010
2 202015
3 202011
4 202011
5 20193
6 201739
7 20156
8 201362
9 201332
10 201146
11 201026
12 200838
13 200827
14 2006195
15 19978
16 1997170
17 199436
18 199474
19 199317
20 199353

About Daniela Coltrini

Daniela Coltrini is a scholar working on Cell Biology, Immunology, Anatomy, Immunology and Allergy and Cancer Research, having authored 52 papers that have together received 2.2k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (17 papers), Proteoglycans and glycosaminoglycans research (12 papers), Angiogenesis and VEGF in Cancer (11 papers), Biomarkers in Disease Mechanisms (11 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cell Adhesion Molecules Research (4 papers), Immune Cell Function and Interaction (4 papers) and Lysosomal Storage Disorders Research (3 papers). The work is most often cited by research in Immunology (681 citations), Cell Biology (381 citations), Clinical Biochemistry (139 citations), Cancer Research (290 citations) and Molecular Biology (1.3k citations). Daniela Coltrini has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Marco Presta, Mirella Belleri, Roberto Ronca, Marco Rusnati, G Zoppetti, Pasqua Oreste, Stefania Mitola, Daria Leali, Doménico Ribatti and Chiara Urbinati. Their work appears in journals such as Molecular Cancer Therapeutics, Angiogenesis, Arteriosclerosis Thrombosis and Vascular Biology, The Journal of Pathology 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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