Manuela Vecchi

3.5k citations
42 papers · 2.6k indexed · 1 hit paper · h-index 27

Manuela Vecchi

40 papers receiving 2.5k citations

Hit Papers

Biological and Molecular Heterogeneity of Breast Cancers ...7282010202620152020200400600

Peers

Manuela Vecchi
Comparison fields: 5 of 99
  • Oncology 1.0k
  • Cancer Research 531
  • Immunology and Allergy 141
  • Molecular Biology 1.5k
  • Cell Biology 351
Replace Mitchell J. Frederick with:
Mitchell J. Frederick United States
Valérie Gouyer France
Cathy Staedel France
William E. Fogler United States
Kathryn A. Hjerrild United States
María C. Garrido Spain
Yulia Nefedova United States
Joanna M. Woodcock Australia
Srikumar M. Raja United States
Glenn M. Swartz United States
Manuela Vecchi relative to Mitchell J. Frederick United States Mitchell J. Frederick's profile →
Citations per field
00.5×1.6×
Mitchell J. Frederick · 1×
Citations per year

Countries citing papers authored by Manuela Vecchi

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Vecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20226
3 20219
4 201728
5 201626
6 201677
7 201628
8 20144
9 200944
10 200767
11 200767
12 200790
13 2007100
14 200536
15 20048
16 200234
17 200187
18 1999111
19 199875
20 19939

About Manuela Vecchi

Manuela Vecchi is a scholar working on Cancer Research, Virology and Infectious Diseases, having authored 42 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Cellular transport and secretion (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer Genomics and Diagnostics (5 papers), Glycosylation and Glycoproteins Research (4 papers), RNA modifications and cancer (4 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Oncology (1.0k citations), Cancer Research (531 citations) and Immunology and Allergy (141 citations). Manuela Vecchi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Pier Paolo Di Fiore, Graham Carpenter, Stefano Confalonieri, Giuseppe Viale, Salvatore Pece, Giovanni Mazzarol, Daniela Tosoni, Simona Ronzoni, Pier Giuseppe Pelicci and Loris Bernard. Their work appears in journals such as The Journal of Cell Biology, Journal of Biological Chemistry, Oncogene, Antimicrobial Agents and Chemotherapy and Molecular and Cellular Biology.

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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