Silvia Gimondi

537 total citations
10 papers, 267 citations indexed

About

Silvia Gimondi is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Silvia Gimondi has authored 10 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Silvia Gimondi's work include Hematopoietic Stem Cell Transplantation (4 papers), Multiple Myeloma Research and Treatments (3 papers) and Protein Degradation and Inhibitors (3 papers). Silvia Gimondi is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), Multiple Myeloma Research and Treatments (3 papers) and Protein Degradation and Inhibitors (3 papers). Silvia Gimondi collaborates with scholars based in Italy, France and United Kingdom. Silvia Gimondi's co-authors include Cristiana Carniti, Paolo Corradini, Antonio Vendramin, Giulia Biancon, Camilla Recordati, Jacopo Mariotti, Paolo Longoni, Dario Baratti, Massimo Milione and Filippo Pietrantonio and has published in prestigious journals such as Blood, Cancer Research and Clinical Cancer Research.

In The Last Decade

Silvia Gimondi

10 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvia Gimondi Italy 5 175 118 57 50 43 10 267
Yoshitaka Zaimoku Japan 11 264 1.5× 172 1.5× 35 0.6× 35 0.7× 47 1.1× 37 343
Diego Quinones Raffo United States 9 152 0.9× 125 1.1× 83 1.5× 44 0.9× 72 1.7× 17 304
Ruba Shalhoub United States 8 275 1.6× 75 0.6× 25 0.4× 45 0.9× 65 1.5× 24 314
Christin B. DeStefano United States 10 147 0.8× 59 0.5× 99 1.7× 138 2.8× 34 0.8× 30 292
T.A. Lane United States 4 231 1.3× 87 0.7× 38 0.7× 103 2.1× 67 1.6× 6 301
Liwei Fang China 11 244 1.4× 54 0.5× 108 1.9× 28 0.6× 147 3.4× 31 329
MC del Cañizo Spain 8 219 1.3× 36 0.3× 64 1.1× 107 2.1× 111 2.6× 8 293
Laura Todt United States 6 264 1.5× 147 1.2× 123 2.2× 160 3.2× 49 1.1× 8 432
A M Huelskamp United States 8 253 1.4× 101 0.9× 48 0.8× 177 3.5× 36 0.8× 10 362
Laurence Pearce United Kingdom 7 206 1.2× 80 0.7× 72 1.3× 29 0.6× 68 1.6× 10 288

Countries citing papers authored by Silvia Gimondi

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Gimondi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Gimondi

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

All Works

10 of 10 papers shown
1.
Biancon, Giulia, Silvia Gimondi, Antonio Vendramin, Cristiana Carniti, & Paolo Corradini. (2018). Noninvasive Molecular Monitoring in Multiple Myeloma Patients Using Cell-Free Tumor DNA. Journal of Molecular Diagnostics. 20(6). 859–870. 44 indexed citations
2.
Gimondi, Silvia, Matteo Dugo, Antonio Vendramin, et al.. (2016). Circulating miRNA panel for prediction of acute graft-versus-host disease in lymphoma patients undergoing matched unrelated hematopoietic stem cell transplantation. Experimental Hematology. 44(7). 624–634.e1. 27 indexed citations
3.
Baratti, Dario, Shigeki Kusamura, Domenico Iusco, et al.. (2016). Hyperthermic Intraperitoneal Chemotherapy (HIPEC) at the Time of Primary Curative Surgery in Patients with Colorectal Cancer at High Risk for Metachronous Peritoneal Metastases. Annals of Surgical Oncology. 24(1). 167–175. 31 indexed citations
4.
Vendramin, Antonio, Silvia Gimondi, Giulia Biancon, et al.. (2016). Synergistic Anti-Tumor Efficacy of BET Inhibitors JQ1 and Otx-015 in Combination with Dasatinib in Preclinical Models of T-Cell Lymphomas. Blood. 128(22). 3967–3967. 3 indexed citations
5.
Carniti, Cristiana, Silvia Gimondi, Antonio Vendramin, et al.. (2015). Pharmacologic Inhibition of JAK1/JAK2 Signaling Reduces Experimental Murine Acute GVHD While Preserving GVT Effects. Clinical Cancer Research. 21(16). 3740–3749. 95 indexed citations
6.
Bolli, Niccolò, Hervé Avet‐Loiseau, Silvia Gimondi, et al.. (2015). Genomic Landscape and Its Prognostic Implications in Multiple Myeloma Using a Targeted Sequencing Approach. Blood. 126(23). 370–370. 1 indexed citations
7.
Gimondi, Silvia, Antonio Vendramin, Giulia Biancon, et al.. (2015). Identification of Clonal Igh Gene Rearrangements By High-Throughput Sequencing of Cell Free DNA in Multiple Myeloma Patients. Blood. 126(23). 2987–2987. 2 indexed citations
10.

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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