S Caltagirone

2.6k citations
11 papers · 251 indexed · h-index 5
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments 9
    • Peptidase Inhibition and Analysis 3
    • Cancer Treatment and Pharmacology 3
    • Protein Degradation and Inhibitors 4
    • Glycosylation and Glycoproteins Research 1
    • Cancer therapeutics and mechanisms 1
    • Cholangiocarcinoma and Gallbladder Cancer Studies 1
    • Peripheral Neuropathies and Disorders 1

S Caltagirone

11 papers receiving 245 citations

Peers

S Caltagirone
Comparison fields: 5 of 19
  • Hematology 230
  • Oncology 123
  • Molecular Biology 219
  • Genetics 15
  • Cancer Research 8
Replace Sandra Wear with:
Sandra Wear United States
Adrienne Briggs United States
Eli Gabayan United States
Luca Bertamini Italy
Petra H.M. Westveer Netherlands
C. Hulin France
A. Keith Stewart United States
Rafael Martínez-Martinez Mexico
Kathryn McDonnell United States
Jean‐Richard Saint‐Martin United States
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Citations per field
00.5×3.2×
Sandra Wear · 1×
Citations per year

Countries citing papers authored by S Caltagirone

Since Specialization
Citations

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

Fields of papers citing papers by S Caltagirone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 20218
2 20193
3 20173
4 201417
5 20144
6 201392
7 2010114
8 20104
9 20091
10
Lenalidomide, melophalan, prednisone and thalidomide (RMPT) for relapsed/refractory multiple myeloma
20082
11 20083

About S Caltagirone

S Caltagirone is a scholar working on Hematology, Oncology and Molecular Biology, having authored 11 papers that have together received 251 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Protein Degradation and Inhibitors (4 papers), Peptidase Inhibition and Analysis (3 papers), Cancer Treatment and Pharmacology (3 papers), Glycosylation and Glycoproteins Research (1 paper), Cancer therapeutics and mechanisms (1 paper), Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper) and Peripheral Neuropathies and Disorders (1 paper). The work is most often cited by research in Hematology (230 citations), Oncology (123 citations) and Molecular Biology (219 citations). S Caltagirone has collaborated with scholars based in Italy, Austria and Czechia. Frequent co-authors include Antonio Palumbo, Mario Boccadoro, Alberto Rocci, Heinz Gisslinger, Martin Schreder, Ulrich Jäger, Niklas Zojer, Heinz Ludwig, Sabine Pfeifer and Daniel Heintel. Their work appears in journals such as Journal of Clinical Oncology, Blood and British Journal of Haematology.

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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