S Triolo

21 total papers · 474 total citations
13 papers, 366 citations indexed

About

S Triolo is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, S Triolo has authored 13 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 8 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in S Triolo's work include Multiple Myeloma Research and Treatments (11 papers), Cancer Treatment and Pharmacology (5 papers) and Hematopoietic Stem Cell Transplantation (4 papers). S Triolo is often cited by papers focused on Multiple Myeloma Research and Treatments (11 papers), Cancer Treatment and Pharmacology (5 papers) and Hematopoietic Stem Cell Transplantation (4 papers). S Triolo collaborates with scholars based in Italy and Switzerland. S Triolo's co-authors include Antonio Palumbo, Mario Boccadoro, Alessandro Pileri, Cecilia Rus, Sara Galimberti, Paola Omedè, Alida Dominietto, Luisa Giaccone, Alessandra Bertola and Eugenio Gallo and has published in prestigious journals such as Blood, European Journal of Immunology and British Journal of Haematology.

In The Last Decade

S Triolo

12 papers receiving 358 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S Triolo 346 222 198 35 25 13 366
Cecilia Rus 360 1.0× 247 1.1× 203 1.0× 33 0.9× 20 0.8× 12 377
Miguel Teodoro Hernández‐Garcia 326 0.9× 263 1.2× 168 0.8× 39 1.1× 14 0.6× 10 372
Susanne Strifler 241 0.7× 187 0.8× 178 0.9× 29 0.8× 19 0.8× 16 340
Pamela Hardwick 277 0.8× 223 1.0× 178 0.9× 32 0.9× 10 0.4× 13 295
Paul Schoen 348 1.0× 266 1.2× 206 1.0× 54 1.5× 7 0.3× 9 377
Leah Fink 375 1.1× 274 1.2× 226 1.1× 59 1.7× 9 0.4× 15 399
E. Stadtmauer 272 0.8× 185 0.8× 168 0.8× 55 1.6× 42 1.7× 16 366
Carmen Martínez‐Chamorro 338 1.0× 128 0.6× 173 0.9× 43 1.2× 38 1.5× 15 379
Henrieta Grešlíková 299 0.9× 275 1.2× 150 0.8× 50 1.4× 14 0.6× 13 375
Ma Teresa Cibeira 272 0.8× 224 1.0× 153 0.8× 51 1.5× 6 0.2× 13 306

Countries citing papers authored by S Triolo

Since Specialization
Citations

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

Fields of papers citing papers by S Triolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Triolo

This figure shows the co-authorship network connecting the top 25 collaborators of S Triolo. A scholar is included among the top collaborators of S Triolo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S Triolo. S Triolo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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