Barbara Valsasina

2.9k citations
42 papers · 1.5k · h-index 23

Impact in

    • Microtubule and mitosis dynamics
    • Endoplasmic Reticulum Stress and Disease
    • DNA Repair Mechanisms
    • Wnt/β-catenin signaling in development and cancer
    • Ubiquitin and proteasome pathways

Papers in

    • Protein purification and stability 4
    • Cancer therapeutics and mechanisms 4
    • Fibroblast Growth Factor Research 4
    • Microtubule and mitosis dynamics 11
    • Endoplasmic Reticulum Stress and Disease 4

Barbara Valsasina

42 papers receiving 1.4k citations

Peers

Barbara Valsasina
Comparison fields: 5 of 97
  • Cell Biology 380
  • Molecular Biology 978
  • Oncology 292
  • Biotechnology 92
  • Immunology and Allergy 37
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Citations per field
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Citations per year

Countries citing papers authored by Barbara Valsasina

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Valsasina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003265
2 2006171
3 199291
4 201182
5 199474
6 199367
7 201550
8
Phosphorylation of TCTP as a marker for polo-like kinase-1 activity in vivo.
201047
9 200945
10 200342
11 200140
12 199736
13 201730
14 201330
15 199730
16 200529
17 201428
18 199228
19 200327
20 201026

About Barbara Valsasina

Barbara Valsasina is a scholar working on Molecular Biology, Cell Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Cancer-related Molecular Pathways (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), HER2/EGFR in Cancer Research (4 papers), Protein purification and stability (4 papers), Cancer therapeutics and mechanisms (4 papers) and Fibroblast Growth Factor Research (4 papers). The work is most often cited by research in Cell Biology (380 citations), Molecular Biology (978 citations), Oncology (292 citations), Biotechnology (92 citations) and Immunology and Allergy (37 citations). Barbara Valsasina has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Henryk M. Kalisz, Cinzia Cristiani, J. A. Bertrand, Sandrine Thieffine, Stefan Knapp, Sonia Troiani, Anna Vulpetti, Maria M. Flocco, Gianpaolo Nitti and Agnese Molinari. Their work appears in journals such as Cancer Research, European Journal of Biochemistry, Bioorganic & Medicinal Chemistry Letters, FEBS Letters and Journal of Biological Chemistry.

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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