Giulia Ramazzotti

2.2k citations
67 papers · 1.7k · h-index 27

Impact in

Papers in

    • Nuclear Structure and Function 12
    • Protein Kinase Regulation and GTPase Signaling 11
    • Ubiquitin and proteasome pathways 10
    • Cell death mechanisms and regulation 9
    • Metabolism, Diabetes, and Cancer 7
    • RNA Research and Splicing 7
    • Cellular transport and secretion 9

Giulia Ramazzotti

66 papers receiving 1.7k citations

Peers

Giulia Ramazzotti
Comparison fields: 5 of 104
  • Hematology 253
  • Cell Biology 332
  • Cancer Research 246
  • Molecular Biology 1.2k
  • Genetics 141
Replace Verónica Ayllón with:
Verónica Ayllón Spain
Laurens T. van der Meer Netherlands
Sara Mongiorgi Italy
Sylvia Kaden Germany
Boris Bartholdy United States
Tsutomu Toki Japan
Cornelis F. Calkhoven Netherlands
Mondira Kundu United States
Roberto Taramelli Italy
Christina Halsey United Kingdom
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Citations per field
00.5×3.2×
Verónica Ayllón · 1×
Citations per year

Countries citing papers authored by Giulia Ramazzotti

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Ramazzotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017185
2 201197
3 200993
4 202059
5 200858
6 202257
7 200651
8 201543
9 201641
10 200639
11 200837
12 201635
13 202035
14 201033
15 201933
16 201732
17 201232
18 201232
19 201531
20 201031

About Giulia Ramazzotti

Giulia Ramazzotti is a scholar working on Molecular Biology, Cell Biology, Hematology, Genetics and Surgery, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Nuclear Structure and Function (12 papers), Protein Kinase Regulation and GTPase Signaling (11 papers), Ubiquitin and proteasome pathways (10 papers), Cellular transport and secretion (9 papers), Cell death mechanisms and regulation (9 papers), Metabolism, Diabetes, and Cancer (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Hematology (253 citations), Cell Biology (332 citations), Cancer Research (246 citations), Molecular Biology (1.2k citations) and Genetics (141 citations). Giulia Ramazzotti has collaborated with scholars based in Italy, United States and South Korea. Frequent co-authors include Lucio Cocco, Irene Faenza, Lucia Manzoli, Matilde Y. Follo, Roberta Fiume, Alberto M. Martelli, Manuela Piazzi, Sara Mongiorgi, Alberto Bavelloni and James A. McCubrey. Their work appears in journals such as Advances in Biological Regulation, Journal of Cellular Physiology, Oncotarget, Biomolecules and Cells.

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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