Paride Pelucchi

746 citations
30 papers · 617 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Cells and Metastasis

Papers in

    • Proteoglycans and glycosaminoglycans research 3
    • Cellular transport and secretion 3
    • Cancer Cells and Metastasis 8

Paride Pelucchi

29 papers receiving 605 citations

Peers

Paride Pelucchi
Comparison fields: 5 of 57
  • Cancer Research 198
  • Oncology 137
  • Cell Biology 60
  • Genetics 20
  • Molecular Biology 139
Replace Jun Jia with:
Jun Jia China
Jing Xun China
Stephan Woditschka United States
Valérie Kedinger France
Annalyssa Long United States
Siti Maryam J. M. Yatim Singapore
Johanna I. Partanen Finland
Quqin Lu China
Farzana Noor United Kingdom
Galina Semenova United States
Paride Pelucchi relative to Jun Jia China Jun Jia's profile →
Citations per field
00.5×1.5×1.9×
Jun Jia · 1×
Citations per year

Countries citing papers authored by Paride Pelucchi

Since Specialization
Citations

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

Fields of papers citing papers by Paride Pelucchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009203
2 200781
3 201843
4 200933
5 200832
6 202032
7 202027
8 200823
9 200819
10 202018
11 201416
12 201714
13 200813
14 202011
15 202111
16 20249
17 20105
18 20134
19 20223
20 20243

About Paride Pelucchi

Paride Pelucchi is a scholar working on Cell Biology, Oncology, Molecular Biology, Genetics and Cancer Research, having authored 30 papers that have together received 617 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Pluripotent Stem Cells Research (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Glioma Diagnosis and Treatment (3 papers), Cellular transport and secretion (3 papers), Glycosylation and Glycoproteins Research (2 papers), Genomics and Phylogenetic Studies (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cancer Research (198 citations), Oncology (137 citations), Cell Biology (60 citations), Genetics (20 citations) and Molecular Biology (139 citations). Paride Pelucchi has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Ileana Zucchi, Rolland A. Reinbold, Alberto Albertini, Giovanni Bertalot, Ottavia Barbieri, Simonetta Astigiano, Sveva Sanzone, Ermanno Rizzi, Gloria Rita Bertoli and Giulia Soldà. Their work appears in journals such as International Journal of Molecular Sciences, Advances in protein chemistry and structural biology, Stem Cell Research, BMC Genomics and FEBS Journal.

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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