Egesta Lopci

6.1k total citations · 1 hit paper
176 papers, 3.7k citations indexed

About

Egesta Lopci is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Egesta Lopci has authored 176 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Radiology, Nuclear Medicine and Imaging, 73 papers in Pulmonary and Respiratory Medicine and 53 papers in Oncology. Recurrent topics in Egesta Lopci's work include Medical Imaging Techniques and Applications (59 papers), Radiomics and Machine Learning in Medical Imaging (45 papers) and Cancer Immunotherapy and Biomarkers (33 papers). Egesta Lopci is often cited by papers focused on Medical Imaging Techniques and Applications (59 papers), Radiomics and Machine Learning in Medical Imaging (45 papers) and Cancer Immunotherapy and Biomarkers (33 papers). Egesta Lopci collaborates with scholars based in Italy, United States and France. Egesta Lopci's co-authors include Angelo Castello, Stefano Fanti, Arturo Chiti, Luca Toschi, Sabrina Rossi, Arnoldo Piccardo, Cristina Nanni, Nicolas Aide, Rodney J. Hicks and Angelina Cistaro and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Egesta Lopci

168 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Joint EANM/EANO/RANO practice guidelines/SNMMI procedure standards for imaging of gliomas using PET with radiolabelled amino acids and [18F]FDG: version 1.0

2018 341 citations Ian Law, Nathalie L. Albert et al. European Journal of Nuclear Medicine and Molecular Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Egesta Lopci Italy	32	1.7k	1.3k	1.2k	657	628	176	3.7k
Joseph G. Rajendran United States	29	2.0k 1.1×	1.1k 0.9×	902 0.8×	417 0.6×	858 1.4×	74	3.8k
Yvette L. Kasamon United States	34	2.3k 1.3×	1.1k 0.9×	2.1k 1.8×	498 0.8×	371 0.6×	99	5.9k
Stewart Kroll United States	29	1.8k 1.0×	945 0.8×	1.3k 1.0×	389 0.6×	381 0.6×	71	4.0k
Neeta Pandit‐Taskar United States	44	2.8k 1.7×	1.7k 1.4×	2.2k 1.8×	396 0.6×	712 1.1×	215	6.0k
Martin Hutchings Denmark	34	2.7k 1.5×	1.9k 1.5×	2.3k 1.9×	769 1.2×	288 0.5×	193	6.5k
T.A. DeWees United States	35	1.1k 0.7×	1.7k 1.3×	808 0.7×	450 0.7×	281 0.4×	174	3.9k
Jeffrey Y.C. Wong United States	43	2.7k 1.5×	1.8k 1.4×	1.5k 1.2×	239 0.4×	374 0.6×	214	5.4k
Andrew Quon United States	39	2.6k 1.5×	2.0k 1.6×	1.4k 1.2×	257 0.4×	594 0.9×	114	4.8k
Chang‐Ok Suh South Korea	38	582 0.3×	1.3k 1.0×	1.6k 1.3×	889 1.4×	930 1.5×	250	4.8k
Stefan Rieken Germany	38	908 0.5×	1.9k 1.5×	1.5k 1.2×	1.2k 1.8×	462 0.7×	210	4.3k

Countries citing papers authored by Egesta Lopci

Since Specialization

Citations

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

Fields of papers citing papers by Egesta Lopci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Egesta Lopci

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

All Works

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20 of 20 papers shown

1.

Gaffo, Enrico, Stefania Bortoluzzi, Paola Muggeo, et al.. (2024). Extracellular Vesicle miR-122-5p as a Prognostic Biomarker in Pediatric Classical Hodgkin Lymphoma. International Journal of Molecular Sciences. 25(24). 13243–13243. 2 indexed citations

2.

Castello, Angelo, et al.. (2024). Prognostic Role of PSMA-Targeted Imaging in Metastatic Castration-Resistant Prostate Cancer: An Overview. Biomedicines. 12(10). 2355–2355. 2 indexed citations

3.

Castello, Angelo, Luca Urso, Maria Cristina Marzola, et al.. (2023). Comparison of MRI vs. [18F]FDG PET/CT for Treatment Response Evaluation of Primary Breast Cancer after Neoadjuvant Chemotherapy: Literature Review and Future Perspectives. Journal of Clinical Medicine. 12(16). 5355–5355. 4 indexed citations

4.

Lopci, Egesta, Angelo Castello, & Luca Filippi. (2023). Novelties from the Joint EANM/SNMMI/ANZSNM Guidelines on Immunotherapy. Cancer Biotherapy and Radiopharmaceuticals. 38(4). 211–215. 2 indexed citations

5.

Lopci, Egesta, Giovanni Lughezzani, Vittorio Fasulo, et al.. (2023). MP73-16 SUV VARIATION ON PSMA PET/CT CORRELATES WITH BIOCHEMICAL RESPONSE IN PATIENTS WITH PROSTATE CANCER UNDERGOING HIGH-INTENSITY FOCUSED ULTRASOUND (HIFU) FOCAL THERAPY. The Journal of Urology. 209(Supplement 4). 1 indexed citations

6.

Urso, Luca, Alberto Nieri, Angelo Castello, et al.. (2023). The Role of Molecular Imaging in Patients with Brain Metastases: A Literature Review. Cancers. 15(7). 2184–2184. 3 indexed citations

7.

Khalil, David, Samy Ammari, Egesta Lopci, et al.. (2023). Recent Advances in the Field of Artificial Intelligence for Precision Medicine in Patients with a Diagnosis of Metastatic Cutaneous Melanoma. Diagnostics. 13(22). 3483–3483. 3 indexed citations

8.

Lopci, Egesta, Massimo Lazzeri, Piergiuseppe Colombo, et al.. (2023). Diagnostic Performance and Clinical Impact of PSMA PET/CT versus mpMRI in Patients with a High Suspicion of Prostate Cancer and Previously Negative Biopsy: A Prospective Trial (PROSPET-BX). Urologia Internationalis. 107(5). 433–439. 14 indexed citations

9.

Linguanti, Flavia, et al.. (2023). Clinical Application of ImmunoPET Targeting Checkpoint Inhibitors. Cancers. 15(23). 5675–5675. 7 indexed citations

10.

Re, Vallì De, Ombretta Repetto, Lara Mussolin, et al.. (2022). Promising drugs and treatment options for pediatric and adolescent patients with Hodgkin lymphoma. Frontiers in Cell and Developmental Biology. 10. 965803–965803. 5 indexed citations

11.

Linguanti, Flavia, et al.. (2022). Metabolic Imaging in B-Cell Lymphomas during CAR-T Cell Therapy. Cancers. 14(19). 4700–4700. 12 indexed citations

12.

Bauckneht, Matteo, Carlo Genova, Giovanni Rossi, et al.. (2021). The Role of the Immune Metabolic Prognostic Index in Patients with Non-Small Cell Lung Cancer (NSCLC) in Radiological Progression during Treatment with Nivolumab. Cancers. 13(13). 3117–3117. 20 indexed citations

13.

Law, Ian, Nathalie L. Albert, Javier Arbizu, et al.. (2018). Joint EANM/EANO/RANO practice guidelines/SNMMI procedure standards for imaging of gliomas using PET with radiolabelled amino acids and [18F]FDG: version 1.0. European Journal of Nuclear Medicine and Molecular Imaging. 46(3). 540–557. 341 indexed citations breakdown →

14.

Castello, Angelo & Egesta Lopci. (2018). Non-small cell lung carcinoma: understanding cancer microenvironment to drive immunotherapy and patients’ selection. Translational Cancer Research. 7(5). 3 indexed citations

15.

Lecouvet, Frédéric, Daniela E. Oprea‐Lager, Yan Liu, et al.. (2018). Use of modern imaging methods to facilitate trials of metastasis-directed therapy for oligometastatic disease in prostate cancer: a consensus recommendation from the EORTC Imaging Group. The Lancet Oncology. 19(10). e534–e545. 87 indexed citations

16.

Quartuccio, Natale, Giorgio Treglia, Marco Salsano, et al.. (2013). The role of Fluorine-18-Fluorodeoxyglucose positron emission tomography in staging and restaging of patients with osteosarcoma. Radiology and Oncology. 47(2). 97–183. 46 indexed citations

17.

Lopci, Egesta, Daniela D’Ambrosio, Cristina Nanni, et al.. (2012). Feasibility of Carbidopa Premedication in Pediatric Patients: A Pilot Study. Cancer Biotherapy and Radiopharmaceuticals. 27(10). 729–733. 10 indexed citations

18.

Rodari, Marcello, Egesta Lopci, Giovanna Pepe, Lidija Antunovic, & Arturo Chiti. (2011). [11C]-choline PET/CT in imaging locally advanced prostate cancer. Nuclear Medicine Review. 14(2). 118–119. 1 indexed citations

19.

Lopci, Egesta, Roberta Burnelli, Valentina Ambrosini, et al.. (2008). ¹⁸ F-FDG PET in Pediatric Lymphomas: A Comparison with Conventional Imaging. Cancer Biotherapy and Radiopharmaceuticals. 1–10. 3 indexed citations

20.

Lopci, Egesta, Roberta Burnelli, Valentina Ambrosini, et al.. (2008). ¹⁸ F-FDG PET in Pediatric Lymphomas: A Comparison with Conventional Imaging. Cancer Biotherapy and Radiopharmaceuticals. 23(6). 681–690. 17 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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