Martina Mori

587 total citations
33 papers, 432 citations indexed

About

Martina Mori is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Martina Mori has authored 33 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Martina Mori's work include Radiomics and Machine Learning in Medical Imaging (20 papers), Pancreatic and Hepatic Oncology Research (11 papers) and Advanced Radiotherapy Techniques (7 papers). Martina Mori is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), Pancreatic and Hepatic Oncology Research (11 papers) and Advanced Radiotherapy Techniques (7 papers). Martina Mori collaborates with scholars based in Italy, United Kingdom and Japan. Martina Mori's co-authors include C. Fiorino, Francesco De Cobelli, S. Broggi, Diego Palumbo, Massimo Falconi, Giovanni Mauro Cattaneo, Francesca Muffatti, Stefano Partelli, Giulia Benedetti and Valentina Andreasi and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Annals of Surgical Oncology and Radiotherapy and Oncology.

In The Last Decade

Martina Mori

28 papers receiving 431 citations

Peers

Martina Mori
C. Sini Italy
Andrew McPartlin United Kingdom
Shane P. Krafft United States
Byong Yong Yi United States
A. Noël France
Marc Morcos United States
C. Sini Italy
Martina Mori
Citations per year, relative to Martina Mori Martina Mori (= 1×) peers C. Sini

Countries citing papers authored by Martina Mori

Since Specialization
Citations

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

Fields of papers citing papers by Martina Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Mori

This figure shows the co-authorship network connecting the top 25 collaborators of Martina Mori. A scholar is included among the top collaborators of Martina Mori 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 Martina Mori. Martina Mori 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.
Cicchetti, A., Martina Mori, Paolo Passoni, et al.. (2025). Incorporating Individual Early Response in the Dose-Effect Relationship of Complete Pathological Response Following Neoadjuvant Radiochemotherapy for Rectal Cancer. International Journal of Radiation Oncology*Biology*Physics.
2.
Cicchetti, A., P. Mangili, Andrei Fodor, et al.. (2024). Skin dose-volume predictors of moderate-severe late side effects after whole breast radiotherapy. Radiotherapy and Oncology. 194. 110183–110183. 3 indexed citations
3.
Mori, Martina, A. Cicchetti, P. Mangili, et al.. (2024). Comparing Performances of Predictive Models of Toxicity after Radiotherapy for Breast Cancer Using Different Machine Learning Approaches. Cancers. 16(5). 934–934. 4 indexed citations
4.
Cicchetti, A., Roberta Castriconi, P. Mangili, et al.. (2024). Training and temporally validating an NTCP model of acute toxicity after whole breast radiotherapy, including the impact of advanced delivery techniques. Radiotherapy and Oncology. 204. 110700–110700.
5.
Mori, Martina, Diego Palumbo, Francesca Muffatti, et al.. (2022). Prediction of the characteristics of aggressiveness of pancreatic neuroendocrine neoplasms (PanNENs) based on CT radiomic features. European Radiology. 33(6). 4412–4421. 17 indexed citations
7.
Lena, Marco Schiavo, Maria Giulia Cangi, Chanel E. Smart, et al.. (2022). Proposal for a New Pathologic Prognostic Index After Neoadjuvant Chemotherapy in Pancreatic Ductal Adenocarcinoma (PINC). Annals of Surgical Oncology. 29(6). 3492–3502. 9 indexed citations
8.
Mori, Martina, Diego Palumbo, Francesco De Cobelli, & C. Fiorino. (2022). Does radiomics play a role in the diagnosis, staging and re-staging of gastroesophageal junction adenocarcinoma?. Updates in Surgery. 75(2). 273–279. 7 indexed citations
9.
Fodor, Andrei, Martina Mori, S. Broggi, et al.. (2022). CT radiomic predictors of local relapse after SBRT for lung oligometastases from colorectal cancer: a single institute pilot study. Strahlentherapie und Onkologie. 199(5). 477–484. 3 indexed citations
10.
Mori, Martina, Diego Palumbo, Rebecca De Lorenzo, et al.. (2021). Robust prediction of mortality of COVID-19 patients based on quantitative, operator-independent, lung CT densitometry. Physica Medica. 85. 63–71. 4 indexed citations
11.
Fiorino, C., Alessandro F. Rotta Loria, Martina Mori, et al.. (2021). An Automatic Approach for Individual HU-Based Characterization of Lungs in COVID-19 Patients. Applied Sciences. 11(3). 1238–1238. 7 indexed citations
12.
Palumbo, Diego, Martina Mori, Stefano Crippa, et al.. (2021). Prediction of Early Distant Recurrence in Upfront Resectable Pancreatic Adenocarcinoma: A Multidisciplinary, Machine Learning-Based Approach. Cancers. 13(19). 4938–4938. 19 indexed citations
13.
Benedetti, Giulia, Martina Mori, Marta Panzeri, et al.. (2021). CT-derived radiomic features to discriminate histologic characteristics of pancreatic neuroendocrine tumors. La radiologia medica. 126(6). 745–760. 78 indexed citations
14.
Mori, Martina, Paolo Passoni, Elena Incerti, et al.. (2020). Training and validation of a robust PET radiomic-based index to predict distant-relapse-free-survival after radio-chemotherapy for locally advanced pancreatic cancer. Radiotherapy and Oncology. 153. 258–264. 21 indexed citations
15.
Cusumano, Davide, Luca Boldrini, Poonam Yadav, et al.. (2020). External Validation of Early Regression Index (ERITCP) as Predictor of Pathologic Complete Response in Rectal Cancer Using Magnetic Resonance-Guided Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 108(5). 1347–1356. 36 indexed citations
16.
Mori, Martina, Giulia Benedetti, Stefano Partelli, et al.. (2020). Robustness of CT radiomic features against image discretization and interpolation in characterizing pancreatic neuroendocrine neoplasms. Physica Medica. 76. 125–133. 22 indexed citations
17.
Mori, Martina, G.M. Cattaneo, I. Dell’Oca, et al.. (2019). Skin DVHs predict cutaneous toxicity in Head and Neck Cancer patients treated with Tomotherapy. Physica Medica. 59. 133–141. 19 indexed citations
18.
Fiorino, C., Paolo Passoni, Anna Palmisano, et al.. (2019). Accurate outcome prediction after neo-adjuvant radio-chemotherapy for rectal cancer based on a TCP-based early regression index. Clinical and Translational Radiation Oncology. 19. 12–16. 14 indexed citations
19.
Fiorino, C., Paolo Passoni, Anna Palmisano, et al.. (2018). A TCP-based early regression index predicts the pathological response in neo-adjuvant radio-chemotherapy of rectal cancer. Radiotherapy and Oncology. 128(3). 564–568. 26 indexed citations
20.
Mori, Martina, Giulia Benedetti, Stefano Partelli, et al.. (2018). Ct radiomic features of pancreatic neuroendocrine neoplasms (panNEN) are robust against delineation uncertainty. Physica Medica. 57. 41–46. 30 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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