Daniela Guasco

477 citations
10 papers · 245 · h-index 4

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Bone health and treatments
    • Peptidase Inhibition and Analysis
    • Chemokine receptors and signaling

Papers in

    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 1
    • Wnt/β-catenin signaling in development and cancer 1
    • Multiple Myeloma Research and Treatments 6

Daniela Guasco

10 papers receiving 241 citations

Peers

Daniela Guasco
Comparison fields: 5 of 39
  • Hematology 144
  • Oncology 135
  • Cancer Research 45
  • Molecular Biology 125
  • Immunology and Allergy 9
Replace Lucia Di Marzo with:
Lucia Di Marzo Italy
Jin Asano Japan
Maryla Niewolna United States
E Martella Italy
Petter O. Veiby United States
Oshrat Attar‐Schneider Israel
Katia Codeluppi Italy
Johannes M. Waldschmidt Germany
Vincent Nadeem Canada
Antoine Crinquette France
Daniela Guasco relative to Lucia Di Marzo Italy Lucia Di Marzo's profile →
Citations per field
00.5×1.5×
Lucia Di Marzo · 1×
Citations per year

Countries citing papers authored by Daniela Guasco

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Guasco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201389
2 201265
3 201242
4 201541
5 20143
6
PROTEASOME INHIBITORS MODULATE OSTEOCYTE DEATH AND AUTOPHAGY IN MULTIPLE MYELOMA.
20141
7 20161
8 20121
9 20111
10 20131

About Daniela Guasco

Daniela Guasco is a scholar working on Molecular Biology, Hematology, Oncology, Cancer Research and Epidemiology, having authored 10 papers that have together received 245 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), Peptidase Inhibition and Analysis (5 papers), Bone health and treatments (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (1 paper), Galectins and Cancer Biology (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Hematology (144 citations), Oncology (135 citations), Cancer Research (45 citations), Molecular Biology (125 citations) and Immunology and Allergy (9 citations). Daniela Guasco has collaborated with scholars based in Italy, United States and Poland. Frequent co-authors include Marina Bolzoni, Nicola Giuliani, Antonino Neri, Paola Storti, Denise Toscani, Luca Agnelli, Franco Aversa, Sabrina Bonomini, Simona Colla and Vittorio Rizzoli. Their work appears in journals such as Blood, Leukemia, Experimental Hematology and IRIS UNIMORE (University of Modena and Reggio Emilia).

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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