S. Iacobelli

1.1k total citations
30 papers, 675 citations indexed

About

S. Iacobelli is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, S. Iacobelli has authored 30 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 10 papers in Molecular Biology and 6 papers in Hematology. Recurrent topics in S. Iacobelli's work include Cancer Treatment and Pharmacology (8 papers), Multiple Myeloma Research and Treatments (5 papers) and Breast Cancer Treatment Studies (4 papers). S. Iacobelli is often cited by papers focused on Cancer Treatment and Pharmacology (8 papers), Multiple Myeloma Research and Treatments (5 papers) and Breast Cancer Treatment Studies (4 papers). S. Iacobelli collaborates with scholars based in Italy, Netherlands and Sweden. S. Iacobelli's co-authors include Clara Natoli, Nicola Tinari, Domenico Angelucci, Ida Iurisci, Ettore Cianchetti, Curly Morris, Gösta Gahrton, Bo Björkstrand, M Nocaudie and C. Corone and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and European Journal of Endocrinology.

In The Last Decade

S. Iacobelli

27 papers receiving 665 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Iacobelli Italy 11 326 300 255 165 64 30 675
Ugo Consoli Italy 17 239 0.7× 367 1.2× 395 1.5× 257 1.6× 34 0.5× 36 863
Plamen Kossev United States 9 101 0.3× 185 0.6× 238 0.9× 122 0.7× 116 1.8× 13 611
Mark Cornfeld United States 11 157 0.5× 294 1.0× 497 1.9× 127 0.8× 48 0.8× 33 838
SE Martin United States 9 238 0.7× 157 0.5× 167 0.7× 185 1.1× 26 0.4× 15 644
Viktoria Rumjantseva United States 7 141 0.4× 233 0.8× 60 0.2× 441 2.7× 99 1.5× 9 805
Minish Jain United States 14 275 0.8× 258 0.9× 459 1.8× 61 0.4× 44 0.7× 68 828
Poul Knoblauch Denmark 11 237 0.7× 736 2.5× 523 2.1× 76 0.5× 17 0.3× 17 1.3k
Antoine W.T. van Lieshout Netherlands 13 492 1.5× 121 0.4× 200 0.8× 61 0.4× 37 0.6× 15 705
Valter Redoglia Italy 15 433 1.3× 255 0.8× 202 0.8× 246 1.5× 19 0.3× 25 814
Ivana von Metzler Germany 17 150 0.5× 594 2.0× 467 1.8× 350 2.1× 20 0.3× 31 951

Countries citing papers authored by S. Iacobelli

Since Specialization
Citations

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

Fields of papers citing papers by S. Iacobelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Iacobelli

This figure shows the co-authorship network connecting the top 25 collaborators of S. Iacobelli. A scholar is included among the top collaborators of S. Iacobelli 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. Iacobelli. S. Iacobelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sahebi, Firoozeh, S. Iacobelli, Anja van Biezen, et al.. (2015). Comparison of upfront tandem autologous–allogeneic transplantation versus reduced intensity allogeneic transplantation for multiple myeloma. Bone Marrow Transplantation. 50(6). 802–807. 10 indexed citations
2.
Penack, Olaf, Gloria Tridello, Gèrard Socié, et al.. (2015). Influence of pre-existing invasive aspergillosis on allo-HSCT outcome: a retrospective EBMT analysis by the Infectious Diseases and Acute Leukemia Working Parties. Bone Marrow Transplantation. 51(3). 418–423. 19 indexed citations
3.
4.
Innominato, Pasquale F., Sylvie Giacchetti, C. Focan, et al.. (2011). Chemotherapy-induced neutropenia (neutro) association with survival in metastatic colorectal cancer (MCC): Schedule dependency.. Journal of Clinical Oncology. 29(15_suppl). e13024–e13024. 1 indexed citations
5.
Morris, Curly, Mary Drake, Jane F. Apperley, et al.. (2010). Efficacy and outcome of autologous transplantation in rare myelomas. Haematologica. 95(12). 2126–2133. 38 indexed citations
6.
Iacobelli, S., et al.. (2010). Chemoprophylaxis in gastrointestinal tumors.. PubMed. 14(4). 285–91. 2 indexed citations
7.
Esposito, Ciro, et al.. (2009). Exploration of Inguinal Canal is Mandatory in Cases of Non Palpable Testis if Laparoscopy Shows Elements Entering a Closed Inguinal Ring. European Journal of Pediatric Surgery. 20(2). 138–139. 4 indexed citations
8.
Chalandon, Yves, Jakob Passweg, Christoph Schmid, et al.. (2009). Outcome of patients developing GVHD after DLI given to treat CML relapse: a study by the chronic leukemia working party of the EBMT. Bone Marrow Transplantation. 45(3). 558–564. 52 indexed citations
9.
10.
Iacobelli, S., Mauro Piantelli, Georg A. Bjarnason, et al.. (2008). Tumor clock protein PER2 as a determinant of survival in patients (pts) receiving oxaliplatin-5-FU-leucovorin as first-line chemotherapy for metastatic colorectal cancer (MCC). Journal of Clinical Oncology. 26(15_suppl). 11032–11032. 8 indexed citations
11.
12.
Borget, Isabelle, C. Corone, M Nocaudie, et al.. (2007). Sick leave for follow-up control in thyroid cancer patients: comparison between stimulation with Thyrogen and thyroid hormone withdrawal. European Journal of Endocrinology. 156(5). 531–538. 53 indexed citations
13.
Alberti, Saverio, Patrizia Querzoli, Massimo Pedriali, et al.. (2006). Axillary lymph node nanometastases are prognostic factors for metastatic relapse in breast cancer patients. Journal of Clinical Oncology. 24(18_suppl). 610–610. 1 indexed citations
14.
Morris, Curly, S. Iacobelli, Bo Björkstrand, et al.. (2004). Benefit and Timing of Second Transplantations in Multiple Myeloma: Clinical Findings and Methodological Limitations in a European Group for Blood and Marrow Transplantation Registry Study. Journal of Clinical Oncology. 22(9). 1674–1681. 37 indexed citations
15.
Stadlmann, Sylvia, Clara Natoli, Martin Widschwendter, et al.. (2001). Peritoneal mesothelial cells as a significant source of ascitic immunostimulatory protein 90K.. PubMed. 20(6B). 4507–11. 7 indexed citations
16.
Iurisci, Ida, Nicola Tinari, Clara Natoli, et al.. (2000). Concentrations of galectin-3 in the sera of normal controls and cancer patients.. PubMed. 6(4). 1389–93. 243 indexed citations
17.
Jallal, Bahija, et al.. (1995). Suppression of tumor growth in vivo by local and systemic 90K level increase.. PubMed. 55(15). 3223–7. 56 indexed citations
18.
Patrignani, Paola, Maria R. Panara, Anita Greco, et al.. (1995). Characterization of the cyclooxygenase activity of human blood prostaglandin endoperoxide synthases.. PubMed. 23. 129–31. 6 indexed citations
19.
Stoter, G., Steinar Aamdal, Sjoerd Rodenhuis, et al.. (1991). Sequential administration of recombinant human interleukin-2 and dacarbazine in metastatic melanoma: a multicenter phase II study.. Journal of Clinical Oncology. 9(9). 1687–1691. 42 indexed citations
20.
Stoter, G., Eitan Shiloni, S. Gundersen, et al.. (1989). Alternating recombinant human interleukin-2 and dacarbazine in advanced melanoma. A multicentric phase II study. Cancer Treatment Reviews. 16. 59–63. 10 indexed citations

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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