Daniela Guasco

487 citations
15 papers · 388 · h-index 8

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Bone health and treatments
    • Peptidase Inhibition and Analysis
    • Chemokine receptors and signaling

Papers in

    • Multiple Myeloma Research and Treatments 9
    • Peptidase Inhibition and Analysis 6
    • Bone health and treatments 4

Daniela Guasco

14 papers receiving 381 citations

Peers

Daniela Guasco
Comparison fields: 5 of 40
  • Hematology 210
  • Oncology 192
  • Cancer Research 53
  • Immunology 74
  • Immunology and Allergy 18
Replace Joséphine Muller with:
Joséphine Muller Belgium
E Martella Italy
Lucia Di Marzo Italy
A.Yu. Zaritskey Russia
Sylvia Faict Belgium
Maryla Niewolna United States
M Minischetti Italy
Oshrat Attar‐Schneider Israel
Clive Buckle United Kingdom
Sanchari Bhattacharyya United States
Daniela Guasco relative to Joséphine Muller Belgium Joséphine Muller's profile →
Citations per field
00.5×1.5×2×2.4×
Joséphine Muller · 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

15 of 15 papers shown
#Work
1 201397
2 201270
3 201546
4 201346
5 201244
6 201633
7 201733
8 201510
9 20143
10 20112
11 20121
12 20131
13 20161
14
PROTEASOME INHIBITORS MODULATE OSTEOCYTE DEATH AND AUTOPHAGY IN MULTIPLE MYELOMA.
20141
15 20110

About Daniela Guasco

Daniela Guasco is a scholar working on Hematology, Oncology, Molecular Biology, Cancer Research and Immunology, having authored 15 papers that have together received 388 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Peptidase Inhibition and Analysis (6 papers), Bone health and treatments (4 papers), Ubiquitin and proteasome pathways (3 papers), Glycosylation and Glycoproteins Research (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Hematology (210 citations), Oncology (192 citations), Cancer Research (53 citations), Immunology (74 citations) and Immunology and Allergy (18 citations). Daniela Guasco has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Marina Bolzoni, Nicola Giuliani, Paola Storti, Franco Aversa, Luca Agnelli, Antonino Neri, Denise Toscani, Sabrina Bonomini, Garson David Roodman and Mirca Lazzaretti. Their work appears in journals such as Blood, Leukemia, Haematologica and Experimental Hematology.

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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