Federico Pineda

675 total citations
26 papers, 503 citations indexed

About

Federico Pineda is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Federico Pineda has authored 26 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Biomedical Engineering and 2 papers in Biomaterials. Recurrent topics in Federico Pineda's work include MRI in cancer diagnosis (24 papers), Advanced MRI Techniques and Applications (22 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Federico Pineda is often cited by papers focused on MRI in cancer diagnosis (24 papers), Advanced MRI Techniques and Applications (22 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Federico Pineda collaborates with scholars based in United States, Japan and China. Federico Pineda's co-authors include Gregory S. Karczmar, Hiroyuki Abé, David Schacht, Xiaobing Fan, Naoko Mori, Milica Medved, Keiko Tsuchiya, Yulei Jiang, Thomas E. Yankeelov and Aytekin Oto and has published in prestigious journals such as PLoS ONE, Cancer Research and Magnetic Resonance in Medicine.

In The Last Decade

Federico Pineda

24 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Pineda United States 13 403 59 50 47 46 26 503
Jianye Liang China 16 312 0.8× 107 1.8× 62 1.2× 67 1.4× 27 0.6× 30 488
Panli Li China 12 233 0.6× 85 1.4× 170 3.4× 72 1.5× 25 0.5× 31 474
Yinghua Zhao China 11 163 0.4× 82 1.4× 137 2.7× 13 0.3× 15 0.3× 25 394
Mei-Lin W. Ah-See United Kingdom 8 445 1.1× 27 0.5× 38 0.8× 105 2.2× 71 1.5× 12 500
Chunwang Yuan China 13 138 0.3× 73 1.2× 62 1.2× 62 1.3× 15 0.3× 31 400
Jason B. White United States 12 125 0.3× 60 1.0× 28 0.6× 75 1.6× 31 0.7× 27 316
Qingguang Lin China 11 88 0.2× 78 1.3× 101 2.0× 47 1.0× 18 0.4× 21 326
Kjersti V. Lund Norway 10 244 0.6× 34 0.6× 42 0.8× 56 1.2× 25 0.5× 20 340
Sonia P. Li United Kingdom 7 344 0.9× 30 0.5× 24 0.5× 74 1.6× 47 1.0× 8 388

Countries citing papers authored by Federico Pineda

Since Specialization
Citations

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

Fields of papers citing papers by Federico Pineda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Pineda

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Pineda. A scholar is included among the top collaborators of Federico Pineda 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 Federico Pineda. Federico Pineda 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.
2.
Pineda, Federico, et al.. (2023). Pharmacokinetic Analysis of Enhancement-Constrained Acceleration (ECA) reconstruction-based high temporal resolution breast DCE-MRI. PLoS ONE. 18(6). e0286123–e0286123. 1 indexed citations
3.
Pineda, Federico, Frederick M. Howard, Xiaobing Fan, et al.. (2023). Bilateral asymmetry of quantitative parenchymal kinetics at ultrafast DCE-MRI predict response to neoadjuvant chemotherapy in patients with HER2+ breast cancer. Magnetic Resonance Imaging. 104. 9–15. 4 indexed citations
4.
Pineda, Federico, Frederick M. Howard, Milica Medved, et al.. (2022). Differences Between Ipsilateral and Contralateral Early Parenchymal Enhancement Kinetics Predict Response of Breast Cancer to Neoadjuvant Therapy. Academic Radiology. 29(10). 1469–1479. 6 indexed citations
5.
Karczmar, Gregory S., et al.. (2021). Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI. PLoS ONE. 16(10). e0258621–e0258621. 5 indexed citations
6.
Wu, Chengyue, David A. Hormuth, Todd Oliver, et al.. (2020). Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics. IEEE Transactions on Medical Imaging. 39(9). 2760–2771. 24 indexed citations
7.
Zhou, Xueyan, Xiaobing Fan, Devkumar Mustafi, et al.. (2020). Comparison of DCE-MRI of murine model cancers with a low dose and high dose of contrast agent. Physica Medica. 81. 31–39. 3 indexed citations
8.
He, Dianning, Xiaobing Fan, Aritrick Chatterjee, et al.. (2019). A compact solution for estimation of physiological parameters from ultrafast prostate dynamic contrast enhanced MRI. Physics in Medicine and Biology. 64(15). 155012–155012. 4 indexed citations
9.
Pineda, Federico, Deepa Sheth, Hiroyuki Abé, Milica Medved, & Gregory S. Karczmar. (2019). Low-dose imaging technique (LITE) MRI: initial experience in breast imaging. British Journal of Radiology. 92(1103). 20190302–20190302. 13 indexed citations
10.
Mori, Naoko, Hiroyuki Abé, Shunji Mugikura, et al.. (2018). Ultrafast Dynamic Contrast-Enhanced Breast MRI: Kinetic Curve Assessment Using Empirical Mathematical Model Validated with Histological Microvessel Density. Academic Radiology. 26(7). e141–e149. 37 indexed citations
11.
Wu, Chengyue, Federico Pineda, David A. Hormuth, Gregory S. Karczmar, & Thomas E. Yankeelov. (2018). Quantitative analysis of vascular properties derived from ultrafast DCE‐MRI to discriminate malignant and benign breast tumors. Magnetic Resonance in Medicine. 81(3). 2147–2160. 46 indexed citations
12.
Wang, Shiyang, Xiaobing Fan, Milica Medved, et al.. (2018). Comparison of arterial input functions measured from ultra-fast dynamic contrast enhanced MRI and dynamic contrast enhanced computed tomography in prostate cancer patients. Physics in Medicine and Biology. 63(3). 03NT01–03NT01. 2 indexed citations
13.
14.
Chatterjee, Aritrick, Dianning He, Xiaobing Fan, et al.. (2017). Performance of Ultrafast DCE-MRI for Diagnosis of Prostate Cancer. Academic Radiology. 25(3). 349–358. 32 indexed citations
15.
Pineda, Federico, et al.. (2016). Gadolinium-Functionalized Peptide Amphiphile Micelles for Multimodal Imaging of Atherosclerotic Lesions. ACS Omega. 1(5). 996–1003. 54 indexed citations
16.
Pineda, Federico, Milica Medved, Shiyang Wang, et al.. (2016). Ultrafast Bilateral DCE-MRI of the Breast with Conventional Fourier Sampling. Academic Radiology. 23(9). 1137–1144. 67 indexed citations
17.
Abé, Hiroyuki, Naoko Mori, Keiko Tsuchiya, et al.. (2016). Kinetic Analysis of Benign and Malignant Breast Lesions With Ultrafast Dynamic Contrast-Enhanced MRI: Comparison With Standard Kinetic Assessment. American Journal of Roentgenology. 207(5). 1159–1166. 100 indexed citations
18.
Shimauchi, Akiko, Hiroyuki Abé, David Schacht, et al.. (2015). Evaluation of Kinetic Entropy of Breast Masses Initially Found on MRI using Whole-lesion Curve Distribution Data: Comparison with the Standard Kinetic Analysis. European Radiology. 25(8). 2470–2478. 13 indexed citations
19.
Wang, Shiyang, Xiaobing Fan, Milica Medved, et al.. (2015). Arterial input functions (AIFs) measured directly from arteries with low and standard doses of contrast agent, and AIFs derived from reference tissues. Magnetic Resonance Imaging. 34(2). 197–203. 17 indexed citations
20.
Pineda, Federico, Milica Medved, Xiaobing Fan, et al.. (2015). Comparison of dynamic contrast-enhanced MRI parameters of breast lesions at 1.5 and 3.0 T: a pilot study. British Journal of Radiology. 88(1049). 20150021–20150021. 13 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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