Chiara Zucchelli

407 citations
15 papers · 287 · h-index 10

Impact in

Papers in

    • Ubiquitin and proteasome pathways 3
    • Cancer-related gene regulation 2
    • Prion Diseases and Protein Misfolding 2
    • T-cell and B-cell Immunology 2

Chiara Zucchelli

15 papers receiving 284 citations

Peers

Chiara Zucchelli
Comparison fields: 5 of 51
  • Clinical Biochemistry 35
  • Immunology 77
  • Endocrinology, Diabetes and Metabolism 46
  • Molecular Biology 140
  • Oncology 35
Replace Yukiyoshi Hirayama with:
Yukiyoshi Hirayama Japan
Linda G. Charles United States
Darian M. Bartkowski United States
Le Feng China
Hui Ren China
Hsiao‐Jung Kao Taiwan
Christina Lam United States
Diane Bruyère Belgium
Svein Lund United States
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Chiara Zucchelli relative to Yukiyoshi Hirayama Japan Yukiyoshi Hirayama's profile →
Citations per field
00.5×2.6×
Yukiyoshi Hirayama · 1×
Citations per year

Countries citing papers authored by Chiara Zucchelli

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Zucchelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200974
2 201936
3 201231
4 201329
5 201521
6 201921
7 202421
8 201614
9 201312
10 201811
11 20176
12 20254
13 20244
14 20242
15 20241

About Chiara Zucchelli

Chiara Zucchelli is a scholar working on Molecular Biology, Immunology, Oncology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 287 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Alzheimer's disease research and treatments (2 papers), T-cell and B-cell Immunology (2 papers), Advanced Glycation End Products research (2 papers), Cancer-related gene regulation (2 papers), Adrenal Hormones and Disorders (2 papers), Prion Diseases and Protein Misfolding (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Clinical Biochemistry (35 citations), Immunology (77 citations), Endocrinology, Diabetes and Metabolism (46 citations), Molecular Biology (140 citations) and Oncology (35 citations). Chiara Zucchelli has collaborated with scholars based in Italy, Estonia and United States. Frequent co-authors include Giovanna Musco, Pärt Peterson, Valeria Mannella, Massimiliano Gaetani, Luca Mollica, Andrea Spitaleri, Francesca Chignola, Giacomo Quilici, Ana Rebane and Tõnis Org. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, FEBS Journal, Nature Communications and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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