L.C. Orlandini

477 total citations
41 papers, 334 citations indexed

About

L.C. Orlandini is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, L.C. Orlandini has authored 41 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiation, 25 papers in Pulmonary and Respiratory Medicine and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in L.C. Orlandini's work include Advanced Radiotherapy Techniques (30 papers), Radiation Therapy and Dosimetry (14 papers) and Medical Imaging Techniques and Applications (10 papers). L.C. Orlandini is often cited by papers focused on Advanced Radiotherapy Techniques (30 papers), Radiation Therapy and Dosimetry (14 papers) and Medical Imaging Techniques and Applications (10 papers). L.C. Orlandini collaborates with scholars based in China, Italy and Australia. L.C. Orlandini's co-authors include Jie Li, Pei Wang, Gang Yin, Davide Fontanarosa, Fan Wu, M. Stasi, Lidia Strigari, Qing Hou, Jinyi Lang and Silvia Strolin and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

L.C. Orlandini

36 papers receiving 332 citations

Peers

L.C. Orlandini

RADIA

RNMI

PRM

ONCOL

Yu Lei United States

Sumeet Hindocha United Kingdom

Landon S. Wootton United States

E. Infusino Italy

Reza Reiazi Iran

Issam M. El Naqa United States

Angela Pathmanathan United Kingdom

Christian V. Guthier United States

Ana Vaniqui Netherlands

L. Persoon Netherlands

Yu Lei United States

L.C. Orlandini

229 ×1.1

RADIA

205 ×1.0

RNMI

189 ×1.4

PRM

54 ×0.9

55 ×1.5

ONCOL

Citations per year, relative to L.C. Orlandini L.C. Orlandini (= 1×) peers Yu Lei

Countries citing papers authored by L.C. Orlandini

Since Specialization

Citations

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

Fields of papers citing papers by L.C. Orlandini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.C. Orlandini. 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 L.C. Orlandini. The network helps show where L.C. Orlandini may publish in the future.

Co-authorship network of co-authors of L.C. Orlandini

This figure shows the co-authorship network connecting the top 25 collaborators of L.C. Orlandini. A scholar is included among the top collaborators of L.C. Orlandini 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 L.C. Orlandini. L.C. Orlandini 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

Xu, Peng, Dongmei Liu, Hongsheng Hu, et al.. (2025). Magnetic resonance spectroscopy guided radiotherapy boost for patients with glioblastoma. Scientific Reports. 15(1). 13371–13371. 1 indexed citations

Tang, Bin, et al.. (2024). Computed tomography-based radiomics nomogram for prediction of lympho-vascular and perineural invasion in esophageal squamous cell cancer patients: a retrospective cohort study. Cancer Imaging. 24(1). 131–131. 3 indexed citations

Yang, Feng, et al.. (2024). Reproducibility and stability of voluntary deep inspiration breath hold and free breath in breast radiotherapy based on real-time 3-dimensional optical surface imaging system. Radiation Oncology. 19(1). 158–158.

Orlandini, L.C., et al.. (2024). Potential dosimetric error in the adaptive workflow of a 1.5 T MR-Linac from patient movement relative to immobilisation systems. Physical and Engineering Sciences in Medicine. 47(1). 351–359.

Yao, Xinghong, et al.. (2023). Comparing breath hold versus free breathing irradiation for left-sided breast radiotherapy by PlanIQ™. Radiation Oncology. 18(1). 200–200.

Xiao, Juan, Yihong Li, Fan Wu, et al.. (2023). Feasibility of delta radiomics–based pCR prediction for rectal cancer patients treated with magnetic resonance–guided adaptive radiotherapy. Frontiers in Oncology. 13. 1230519–1230519. 2 indexed citations

Feng, Xi, et al.. (2023). Effectiveness of bladder filling control during online MR-guided adaptive radiotherapy for rectal cancer. Radiation Oncology. 18(1). 136–136. 6 indexed citations

Wang, Bingjie, Peng Diao, Jie Li, et al.. (2022). Improving the clinical workflow of a MR-Linac by dosimetric evaluation of synthetic CT. Frontiers in Oncology. 12. 920443–920443. 6 indexed citations

Lenkowicz, Jacopo, Qian Peng, Luca Boldrini, et al.. (2022). Local tuning of radiomics-based model for predicting pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. BMC Medical Imaging. 22(1). 44–44. 7 indexed citations

10.

Boldrini, Luca, Jacopo Lenkowicz, L.C. Orlandini, et al.. (2022). Applicability of a pathological complete response magnetic resonance-based radiomics model for locally advanced rectal cancer in intercontinental cohort. Radiation Oncology. 17(1). 78–78. 18 indexed citations

11.

Orlandini, L.C., et al.. (2021). Feasibility of using a novel automatic cardiac segmentation algorithm in the clinical routine of lung cancer patients. PLoS ONE. 16(1). e0245364–e0245364. 5 indexed citations

12.

Diao, Peng, Da Zhang, Xin Xin, et al.. (2020). Impact of Positioning Errors on the Dosimetry of Breath-Hold-Based Volumetric Arc Modulated and Tangential Field-in-Field Left-Sided Breast Treatments. Frontiers in Oncology. 10. 554131–554131. 12 indexed citations

13.

Li, Tao, Pei Wang, Weidong Wang, et al.. (2020). Experts consensus on epidemic prevention and control in radiotherapy centers during the COVID-19 outbreak: Experiences from Sichuan Province. Clinical and Translational Radiation Oncology. 24. 88–91. 4 indexed citations

14.

Wu, Fan, et al.. (2020). Impact of positioning errors in the dosimetry of VMAT left-sided post mastectomy irradiation. Radiation Oncology. 15(1). 103–103. 5 indexed citations

15.

Wang, Pei, Qing Hou, Lintao Li, et al.. (2020). An Inverse Dose Optimization Algorithm for Three-Dimensional Brachytherapy. Frontiers in Oncology. 10. 564580–564580. 5 indexed citations

16.

Li, Jie, et al.. (2019). Evaluation of interfraction setup variations for postmastectomy radiation therapy using EPID‐based in vivo dosimetry. Journal of Applied Clinical Medical Physics. 20(10). 43–52. 9 indexed citations

17.

Orlandini, L.C., et al.. (2017). Dose tracking assessment for image-guided radiotherapy of the prostate bed and the impact on clinical workflow. Radiation Oncology. 12(1). 78–78. 14 indexed citations

18.

Orlandini, L.C., et al.. (2015). Dosimetric impact of different multileaf collimators on prostate intensity modulated treatment planning. Reports of Practical Oncology & Radiotherapy. 20(5). 358–364. 4 indexed citations

19.

Fontanarosa, Davide, et al.. (2009). Commissioning Varian enhanced dynamic wedge in the PINNACLE treatment planning system using Gafchromic™ EBT film. Medical Physics. 36(10). 4504–4510. 16 indexed citations

20.

Strigari, Lidia, et al.. (2008). A mathematical approach for evaluating the influence of dose heterogeneity on TCP for prostate cancer brachytherapy treatment. Physics in Medicine and Biology. 53(18). 5045–5059. 9 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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