Daniela Said

449 total citations
10 papers, 300 citations indexed

About

Daniela Said is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniela Said has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Hepatology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniela Said's work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and MRI in cancer diagnosis (6 papers). Daniela Said is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and MRI in cancer diagnosis (6 papers). Daniela Said collaborates with scholars based in United States, Chile and Switzerland. Daniela Said's co-authors include Bachir Taouli, Sara Lewis, Stefanie J. Hectors, Octavia Bane, Daniel Stocker, Myron Schwartz, Swan N. Thung, Juan Putra, Sacha Gnjatic and Ilaria Laface and has published in prestigious journals such as European Radiology, Abdominal Radiology and Radiology Imaging Cancer.

In The Last Decade

Daniela Said

10 papers receiving 299 citations

Peers

Daniela Said
Yingmei Jia China
Huanhuan Chong China
Zhiyong Xu China
Sidong Xie China
Asra Khan United States
Sungeun Park South Korea
Xijiao Liu China
Mengsu Zeng China
Yingmei Jia China
Daniela Said
Citations per year, relative to Daniela Said Daniela Said (= 1×) peers Yingmei Jia

Countries citing papers authored by Daniela Said

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Said

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Said

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Said. A scholar is included among the top collaborators of Daniela Said 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 Daniela Said. Daniela Said 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.
Said, Daniela, Daniel Stocker, Stefanie J. Hectors, et al.. (2023). Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks. European Radiology. 33(9). 6020–6032. 12 indexed citations
2.
Kennedy, Paul, Daniel Stocker, Daniela Said, et al.. (2022). MR elastography outperforms shear wave elastography for the diagnosis of clinically significant portal hypertension. European Radiology. 32(12). 8339–8349. 18 indexed citations
3.
Hernandez‐Meza, Gabriela, Naïk Vietti Violi, Daniela Said, et al.. (2021). MRI is the most commonly used imaging modality for HCC screening at a tertiary care transplant center. Abdominal Radiology. 46(11). 5142–5151. 5 indexed citations
4.
Kennedy, Paul, Octavia Bane, Maria El Homsi, et al.. (2021). Precision of MRI radiomics features in the liver and hepatocellular carcinoma. European Radiology. 32(3). 2030–2040. 29 indexed citations
5.
Stocker, Daniel, Stefanie J. Hectors, Octavia Bane, et al.. (2021). Dynamic contrast-enhanced MRI perfusion quantification in hepatocellular carcinoma: comparison of gadoxetate disodium and gadobenate dimeglumine. European Radiology. 31(12). 9306–9315. 6 indexed citations
6.
Said, Daniela, Stefanie J. Hectors, Eric Wilck, et al.. (2020). Characterization of solid renal neoplasms using MRI-based quantitative radiomics features. Abdominal Radiology. 45(9). 2840–2850. 42 indexed citations
7.
Violi, Naïk Vietti, Sara Lewis, Miriam Hulkower, et al.. (2020). Gadoxetate-enhanced abbreviated MRI is highly accurate for hepatocellular carcinoma screening. European Radiology. 30(11). 6003–6013. 56 indexed citations
8.
Hectors, Stefanie J., Sara Lewis, Paul Kennedy, et al.. (2020). Assessment of Hepatocellular Carcinoma Response to 90Y Radioembolization Using Dynamic Contrast Material–enhanced MRI and Intravoxel Incoherent Motion Diffusion-weighted Imaging. Radiology Imaging Cancer. 2(4). e190094–e190094. 16 indexed citations
9.
Bane, Octavia, Daniela Said, Daniel Stocker, et al.. (2020). 4D flow MRI for the assessment of renal transplant dysfunction: initial results. European Radiology. 31(2). 909–919. 6 indexed citations
10.
Hectors, Stefanie J., Sara Lewis, Cecilia Besa, et al.. (2020). MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma. European Radiology. 30(7). 3759–3769. 110 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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2026