Carolina Terragna

3.9k total citations
99 papers, 2.3k citations indexed

About

Carolina Terragna is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Carolina Terragna has authored 99 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Hematology, 45 papers in Molecular Biology and 30 papers in Oncology. Recurrent topics in Carolina Terragna's work include Multiple Myeloma Research and Treatments (51 papers), Chronic Myeloid Leukemia Treatments (29 papers) and Protein Degradation and Inhibitors (25 papers). Carolina Terragna is often cited by papers focused on Multiple Myeloma Research and Treatments (51 papers), Chronic Myeloid Leukemia Treatments (29 papers) and Protein Degradation and Inhibitors (25 papers). Carolina Terragna collaborates with scholars based in Italy, United States and Greece. Carolina Terragna's co-authors include Michèle Cavo, Elena Zamagni, S Tura, Michele Baccarani, Giovanni Martinelli, Paola Tacchetti, Nicoletta Testoni, Patrizia Tosi, Giulia Perrone and Annamaria Brioli and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Carolina Terragna

96 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carolina Terragna Italy 25 1.8k 1.2k 885 354 311 99 2.3k
Éric Jourdan France 18 1.3k 0.7× 733 0.6× 570 0.6× 407 1.1× 568 1.8× 54 2.1k
María Teresa Cibeira Spain 23 1.3k 0.7× 1.3k 1.1× 709 0.8× 398 1.1× 182 0.6× 91 2.0k
Todd M. Zimmerman United States 28 1.6k 0.9× 1.2k 1.0× 990 1.1× 219 0.6× 313 1.0× 95 2.2k
Toshiko Motoji Japan 26 1.5k 0.9× 915 0.8× 578 0.7× 700 2.0× 399 1.3× 121 2.6k
Álvaro Aguayo Mexico 19 867 0.5× 933 0.8× 506 0.6× 501 1.4× 148 0.5× 46 1.8k
Shinichi Mizuno Japan 16 698 0.4× 1.0k 0.9× 405 0.5× 210 0.6× 316 1.0× 46 1.8k
Christine Arnoulet France 28 1.6k 0.9× 885 0.7× 624 0.7× 702 2.0× 809 2.6× 69 2.6k
K.R. Desikan United States 18 1.6k 0.9× 997 0.8× 787 0.9× 245 0.7× 176 0.6× 31 1.9k
Leonard T. Heffner United States 21 996 0.6× 856 0.7× 784 0.9× 561 1.6× 227 0.7× 86 1.8k
Hélène A. Poirel Belgium 23 778 0.4× 804 0.7× 674 0.8× 637 1.8× 351 1.1× 56 2.1k

Countries citing papers authored by Carolina Terragna

Since Specialization
Citations

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

Fields of papers citing papers by Carolina Terragna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolina Terragna

This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Terragna. A scholar is included among the top collaborators of Carolina Terragna 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 Carolina Terragna. Carolina Terragna 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.
Borsi, Enrica, Marina Martello, Elena Zamagni, et al.. (2023). High levels of CRBN isoform lacking IMiDs binding domain predicts for a worse response to IMiDs-based upfront therapy in newly diagnosed myeloma patients. Clinical and Experimental Medicine. 23(8). 5227–5239. 4 indexed citations
2.
Sabattini, Elena, Alessandro Broccoli, Claudio Agostinelli, et al.. (2022). Primary pulmonary T-cell lymphoproliferative disorders with a limited-stage, low proliferative index, and unusual clinical behavior: two cases of a rare occurrence. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 482(5). 899–904.
3.
Broccoli, Alessandro, Lisa Argnani, Carolina Terragna, et al.. (2021). The treatment of hairy cell leukemia with a focus on long lasting responses to cladribine: A 30‐year experience. American Journal of Hematology. 96(10). 1204–1210. 8 indexed citations
4.
Ziccheddu, Bachisio, Giulia Biancon, Chiara De Philippis, et al.. (2020). Integrative analysis of the genomic and transcriptomic landscape of double-refractory multiple myeloma. Blood Advances. 4(5). 830–844. 49 indexed citations
5.
Forte, Dorian, Flaminia Fanelli, Marco Mezzullo, et al.. (2020). Disease-Specific Derangement of Circulating Endocannabinoids and N-Acylethanolamines in Myeloproliferative Neoplasms. International Journal of Molecular Sciences. 21(9). 3399–3399. 5 indexed citations
6.
Rorà, Andrea Ghelli Luserna di, Anna Ferrari, Carolina Terragna, et al.. (2019). Synergism Through WEE1 and CHK1 Inhibition in Acute Lymphoblastic Leukemia. Cancers. 11(11). 1654–1654. 22 indexed citations
7.
Zamagni, Elena, et al.. (2016). Multiple myeloma: disease response assessment. Expert Review of Hematology. 9(9). 831–837. 7 indexed citations
8.
Zamagni, Elena, Cristina Nanni, Katia Mancuso, et al.. (2015). PET/CT Improves the Definition of Complete Response and Allows to Detect Otherwise Unidentifiable Skeletal Progression in Multiple Myeloma. Clinical Cancer Research. 21(19). 4384–4390. 107 indexed citations
9.
Zamagni, Elena, Cristina Nanni, Paola Tacchetti, et al.. (2014). Positron Emission Tomography With Computed Tomography–Based Diagnosis of Massive Extramedullary Progression in a Patient With High-Risk Multiple Myeloma. Clinical Lymphoma Myeloma & Leukemia. 14(3). e101–e104. 7 indexed citations
11.
Porro, Antônio, Nunzio Iraci, Simona Soverini, et al.. (2011). c-MYC Oncoprotein Dictates Transcriptional Profiles of ATP-Binding Cassette Transporter Genes in Chronic Myelogenous Leukemia CD34+ Hematopoietic Progenitor Cells. Molecular Cancer Research. 9(8). 1054–1066. 38 indexed citations
13.
Martinelli, Giovanni, Ilaria Iacobucci, Daniela Cilloni, et al.. (2009). New drugs to overcome meccanisms of resistance in Ph+ leukemia: bosutinib. 2(5). 27–32. 1 indexed citations
15.
Cavo, Michèle, Elena Zamagni, Paola Tacchetti, et al.. (2009). Single or Double Autologous Stem Cell Transplantation Before and After the Era of Novel Agents. Clinical Lymphoma & Myeloma. 9. S51–S52.
16.
Re, Francesca, Mario Arpinati, Nicoletta Testoni, et al.. (2002). Expression of CD86 in acute myelogenous leukemia is a marker of dendritic/monocytic lineage. Experimental Hematology. 30(2). 126–134. 41 indexed citations
17.
Amabile, Marilina, Barbara Giannini, Nicoletta Testoni, et al.. (2001). Real-time quantification of different types of bcr-abl transcript in chronic myeloid leukemia.. PubMed. 86(3). 252–9. 36 indexed citations
18.
Giannini, Barbara, Vittorio Montefusco, Nicoletta Testoni, et al.. (2000). Real-time quantification of different types of BcrAbl transcript in chronic myeloid leukemia. Blood. 96. 16 indexed citations
19.
Martinelli, Giovanni, Carolina Terragna, Marilina Amabile, et al.. (2000). Alu and translisin recognition site sequences flanking translocation sites in a novel type of chimeric bcr-abl transcript suggest a possible general mechanism for bcr-abl breakpoints.. PubMed. 85(1). 40–6. 21 indexed citations
20.
Ratta, Marina, Damiano Rondelli, Alessandra Fortuna, et al.. (1998). Generation and functional characterization of human dendritic cells derived from CD34+ cells mobilized into peripheral blood: comparison with bone marrow CD34+ cells. British Journal of Haematology. 101(4). 756–765. 52 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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