Ivan de Curtis

3.9k citations
90 papers · 3.1k · h-index 33

Impact in

    • Cell Adhesion Molecules Research
  • Cell Biology top 0.5%
    • Cellular transport and secretion
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics

Papers in

    • Protein Kinase Regulation and GTPase Signaling 14
    • RNA Research and Splicing 6
    • S100 Proteins and Annexins 6
    • Cellular Mechanics and Interactions 27
    • Cellular transport and secretion 19
    • Microtubule and mitosis dynamics 6

Ivan de Curtis

89 papers receiving 3.1k citations

Peers

Ivan de Curtis
Comparison fields: 5 of 110
  • Immunology and Allergy 657
  • Cell Biology 1.2k
  • Developmental Neuroscience 181
  • Cellular and Molecular Neuroscience 670
  • Reproductive Medicine 211
Replace Shinji Hirano with:
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Ivan de Curtis relative to Shinji Hirano Japan Shinji Hirano's profile →
Citations per field
00.5×4.0×
Shinji Hirano · 1×
Citations per year

Countries citing papers authored by Ivan de Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Ivan de Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan de Curtis. 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 Ivan de Curtis. The network helps show where Ivan de Curtis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988153
2 1991146
3 1989121
4 1995108
5 2000107
6 200596
7 199390
8 200386
9 199881
10 200980
11 200774
12 201270
13 200370
14 200168
15 199767
16 201463
17 198959
18 198454
19 200054
20 200953

About Ivan de Curtis

Ivan de Curtis is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 90 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (29 papers), Cellular Mechanics and Interactions (27 papers), Cellular transport and secretion (19 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Neuroscience and Neuropharmacology Research (11 papers), Microtubule and mitosis dynamics (6 papers), RNA Research and Splicing (6 papers) and S100 Proteins and Annexins (6 papers). The work is most often cited by research in Immunology and Allergy (657 citations), Cell Biology (1.2k citations), Developmental Neuroscience (181 citations), Cellular and Molecular Neuroscience (670 citations) and Reproductive Medicine (211 citations). Ivan de Curtis has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Simona Paris, Kai Simons, Chiara Albertinazzi, Louis F. Reichardt, Veronica Astro, Sara Corbetta, Renato Longhi, Richard N. Tamura, Vito Quaranta and Sara Gualdoni. Their work appears in journals such as Journal of Cell Science, PLoS ONE, Biology of the Cell, The Journal of Cell Biology and Scientific Reports.

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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