Giorgio Crepaldi

955 total citations
16 papers, 739 citations indexed

About

Giorgio Crepaldi is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Giorgio Crepaldi has authored 16 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in Giorgio Crepaldi's work include Colorectal Cancer Surgical Treatments (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Medical Imaging Techniques and Applications (3 papers). Giorgio Crepaldi is often cited by papers focused on Colorectal Cancer Surgical Treatments (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Medical Imaging Techniques and Applications (3 papers). Giorgio Crepaldi collaborates with scholars based in Italy and United Kingdom. Giorgio Crepaldi's co-authors include Antonio Bononi, Daniela Menon, Domenico Rubello, Milena Gusella, Silvia Toso, Eros Ferrazzí, Carlo Capirci, Antonio Piccoli, Lucia Rampin and Stefano Fanti and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and American Journal of Roentgenology.

In The Last Decade

Giorgio Crepaldi

16 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giorgio Crepaldi Italy 13 361 316 214 180 115 16 739
Antonio Bononi Italy 11 181 0.5× 24 0.1× 215 1.0× 67 0.4× 114 1.0× 21 571
Daniela Menon Italy 10 156 0.4× 22 0.1× 217 1.0× 64 0.4× 114 1.0× 18 495
Masanori Teshima Japan 12 182 0.5× 96 0.3× 25 0.1× 378 2.1× 32 0.3× 61 698
Srdjan Nikolić Serbia 14 130 0.4× 124 0.4× 20 0.1× 139 0.8× 9 0.1× 46 710
Sarah Cuddy United States 14 140 0.4× 165 0.5× 211 1.0× 90 0.5× 23 0.2× 57 962
Ramón Martos Ireland 11 65 0.2× 171 0.5× 51 0.2× 193 1.1× 8 0.1× 14 916
In Gyu Kwon South Korea 17 264 0.7× 77 0.2× 66 0.3× 380 2.1× 8 0.1× 45 967
Zhibin Yuan China 8 89 0.2× 97 0.3× 19 0.1× 123 0.7× 22 0.2× 19 377
João Gonçalves Filho Brazil 13 75 0.2× 29 0.1× 94 0.4× 359 2.0× 24 0.2× 28 598
Satoshi Ida Japan 10 164 0.5× 39 0.1× 288 1.3× 334 1.9× 6 0.1× 19 675

Countries citing papers authored by Giorgio Crepaldi

Since Specialization
Citations

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

Fields of papers citing papers by Giorgio Crepaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgio Crepaldi

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

All Works

16 of 16 papers shown
1.
Pasini, Felice, Carmen Barile, Donatella Caruso, et al.. (2018). Oral Metronomic Vinorelbine (OMV) in elderly or pretreated patients with advanced non small cell lung cancer: outcome and pharmacokinetics in the real world. Investigational New Drugs. 36(5). 927–932. 12 indexed citations
2.
Gusella, Milena, Felice Pasini, Donatella Caruso, et al.. (2018). Clinical outcomes of oral metronomic vinorelbine in advanced non-small cell lung cancer: correlations with pharmacokinetics and MDR1 polymorphisms. Cancer Chemotherapy and Pharmacology. 83(3). 493–500. 14 indexed citations
3.
Gusella, Milena, Antonio Bononi, Paola Franceschetti, et al.. (2014). Age affects pegylated liposomal doxorubicin elimination and tolerability in patients over 70 years old. Cancer Chemotherapy and Pharmacology. 73(3). 517–524. 9 indexed citations
4.
Bononi, Antonio, Alessandro Inno, Carmen Barile, et al.. (2013). The prognostic value of rapid screening tests (RST) in geriatric assessment of patients with cancer over 70.. Journal of Clinical Oncology. 31(15_suppl). 9554–9554. 2 indexed citations
5.
Grassetto, Gaia, Carlo Capirci, Maria Cristina Marzola, et al.. (2011). Colorectal cancer: prognostic role of 18F-FDG-PET/CT. Abdominal Imaging. 37(4). 575–579. 18 indexed citations
6.
Gusella, Milena, Felice Pasini, Carmen Barile, et al.. (2010). Equilibrative nucleoside transporter 1 genotype, cytidine deaminase activity and age predict gemcitabine plasma clearance in patients with solid tumours. British Journal of Clinical Pharmacology. 71(3). 437–444. 20 indexed citations
7.
Grassetto, Gaia, A. Fornasiero, Giorgio Bonciarelli, et al.. (2010). 18F-FDG-PET/CT in patients with breast cancer and rising Ca 15-3 with negative conventional imaging: A multicentre study. European Journal of Radiology. 80(3). 828–833. 36 indexed citations
8.
Capirci, Carlo, Domenico Rubello, Felice Pasini, et al.. (2009). The Role of Dual-Time Combined 18-Fluorideoxyglucose Positron Emission Tomography and Computed Tomography in the Staging and Restaging Workup of Locally Advanced Rectal Cancer, Treated With Preoperative Chemoradiation Therapy and Radical Surgery. International Journal of Radiation Oncology*Biology*Physics. 74(5). 1461–1469. 75 indexed citations
9.
Capirci, Carlo, Lucia Rampin, Paola Anna Erba, et al.. (2007). Sequential FDG-PET/CT reliably predicts response of locally advanced rectal cancer to neo-adjuvant chemo-radiation therapy. European Journal of Nuclear Medicine and Molecular Imaging. 34(10). 1583–1593. 143 indexed citations
10.
Capirci, Carlo, Domenico Rubello, Franca Chierichetti, et al.. (2006). Long-Term Prognostic Value of 18F-FDG PET in Patients with Locally Advanced Rectal Cancer Previously Treated with Neoadjuvant Radiochemotherapy. American Journal of Roentgenology. 187(2). W202–W208. 72 indexed citations
11.
Ambrosini, Valentina, Domenico Rubello, Cristina Nanni, et al.. (2005). Additional value of hybrid PET/CT fusion imaging vs. conventional CT scan alone in the staging and management of patients with malignant pleural mesothelioma.. PubMed. 8(2). 111–5. 26 indexed citations
12.
Capirci, Carlo, Domenico Rubello, Franca Chierichetti, et al.. (2004). Restaging after neoadjuvant chemoradiotherapy for rectal adenocarcinoma: role of F18-FDG PET. Biomedicine & Pharmacotherapy. 58(8). 451–457. 54 indexed citations
13.
Toso, Silvia, Antonio Piccoli, Milena Gusella, et al.. (2003). Bioimpedance vector pattern in cancer patients without disease versus locally advanced or disseminated disease. Nutrition. 19(6). 510–514. 58 indexed citations
14.
Bononi, Antonio, Francesco Lanza, Melissa Dabusti, et al.. (2001). Increased myeloperoxidase index and large unstained cell values can predict the neutropenia phase of cancer patients treated with standard dose chemotherapy. Cytometry. 46(2). 92–97. 24 indexed citations
15.
Toso, Silvia, Antonio Piccoli, Milena Gusella, et al.. (2000). Altered tissue electric properties in lung cancer patients as detected by bioelectric impedance vector analysis. Nutrition. 16(2). 120–124. 172 indexed citations
16.
Sartori, Sergio, Lucio Trevisani, Ingrid Nielsen, et al.. (1999). Neuron-Specific Enolase, Thymidine Kinase, and Tissue Polypeptide-Specific Antigen in Diagnosis and Response to Chemotherapy of Small-Cell Lung Cancer. Cancer Detection and Prevention. 23(4). 309–315. 4 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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