Roberta Ceruti

1.3k citations
21 papers · 859 · h-index 15

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Protease and Inhibitor Mechanisms
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Angiogenesis and VEGF in Cancer 4
    • RNA Interference and Gene Delivery 2
    • Peptidase Inhibition and Analysis 2

Roberta Ceruti

21 papers receiving 824 citations

Peers

Roberta Ceruti
Comparison fields: 5 of 84
  • Cell Biology 196
  • Cancer Research 158
  • Small Animals 74
  • Oncology 246
  • Genetics 64
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Citations per year

Countries citing papers authored by Roberta Ceruti

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Ceruti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006129
2
BAY 12-9566, a novel inhibitor of matrix metalloproteinases with antiangiogenic activity.
1999101
3 200985
4 200980
5 200673
6 200149
7 200149
8 200042
9
Liposome-delivered angiostatin strongly inhibits tumor growth and metastatization in a transgenic model of spontaneous breast cancer.
200040
10 200240
11 200134
12 201331
13 201319
14 200618
15 200116
16 200113
17
Ringtail in suckling Munich Wistar Fromter rats: a histopathologic study.
200013
18 201012
19 199911
20 20133

About Roberta Ceruti

Roberta Ceruti is a scholar working on Molecular Biology, Oncology, Cancer Research, Hematology and Cell Biology, having authored 21 papers that have together received 859 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Cancer Research and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Microtubule and mitosis dynamics (2 papers), RNA Interference and Gene Delivery (2 papers), Protease and Inhibitor Mechanisms (2 papers), Peptidase Inhibition and Analysis (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Cell Biology (196 citations), Cancer Research (158 citations), Small Animals (74 citations), Oncology (246 citations) and Genetics (64 citations). Roberta Ceruti has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Eugenio Scanziani, Gabriele Ghisleni, M. Caniatti, Enrico Pesenti, Giulia Taraboletti, Raffaella Giavazzi, Patrizia Borsotti, Valter Croci, P. Roccabianca and Rachele Alzani. Their work appears in journals such as Clinical Cancer Research, Gene Therapy, Experimental Hematology, Oncogene and Experimental Cell Research.

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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