Dariya Malyarenko

2.5k total citations · 1 hit paper
60 papers, 1.3k citations indexed

About

Dariya Malyarenko is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Molecular Biology. According to data from OpenAlex, Dariya Malyarenko has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Spectroscopy and 9 papers in Molecular Biology. Recurrent topics in Dariya Malyarenko's work include MRI in cancer diagnosis (33 papers), Advanced Neuroimaging Techniques and Applications (22 papers) and Advanced MRI Techniques and Applications (19 papers). Dariya Malyarenko is often cited by papers focused on MRI in cancer diagnosis (33 papers), Advanced Neuroimaging Techniques and Applications (22 papers) and Advanced MRI Techniques and Applications (19 papers). Dariya Malyarenko collaborates with scholars based in United States, Germany and Netherlands. Dariya Malyarenko's co-authors include Thomas L. Chenevert, Brian D. Ross, Craig J. Galbán, Charles R. Meyer, Amita Shukla‐Dave, Timothy D. Johnson, Alnawaz Rehemtulla, Wei Huang, Nancy A. Obuchowski and William E. Cooke and has published in prestigious journals such as Physical review. B, Condensed matter, Blood and PLoS ONE.

In The Last Decade

Dariya Malyarenko

55 papers receiving 1.3k 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.

Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials

2018 252 citations Amita Shukla‐Dave, Nancy A. Obuchowski et al. Journal of Magnetic Resonance Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dariya Malyarenko United States	20	937	195	166	131	107	60	1.3k
A S K Dzik-Jurasz United Kingdom	15	805 0.9×	96 0.5×	118 0.7×	97 0.7×	61 0.6×	29	1.1k
Hai‐Ling Margaret Cheng Canada	23	1.1k 1.2×	133 0.7×	72 0.4×	139 1.1×	286 2.7×	77	1.9k
Ruud B. van Heeswijk Switzerland	22	1.5k 1.6×	262 1.3×	247 1.5×	171 1.3×	308 2.9×	77	2.6k
Edward C. Parsons United States	19	1.1k 1.1×	103 0.5×	62 0.4×	342 2.6×	139 1.3×	32	1.7k
Gwénaël Herigault France	10	644 0.7×	84 0.4×	60 0.4×	95 0.7×	73 0.7×	12	1.0k
Qun Chen China	18	703 0.8×	69 0.4×	61 0.4×	272 2.1×	61 0.6×	55	1.1k
Guoying Liu United States	9	1.9k 2.0×	79 0.4×	52 0.3×	253 1.9×	42 0.4×	13	2.2k
Simon Walker‐Samuel United Kingdom	24	1.3k 1.4×	272 1.4×	43 0.3×	195 1.5×	395 3.7×	72	2.1k
Bram F. Coolen Netherlands	22	741 0.8×	118 0.6×	38 0.2×	267 2.0×	97 0.9×	85	1.3k

Countries citing papers authored by Dariya Malyarenko

Since Specialization

Citations

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

Fields of papers citing papers by Dariya Malyarenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dariya Malyarenko

This figure shows the co-authorship network connecting the top 25 collaborators of Dariya Malyarenko. A scholar is included among the top collaborators of Dariya Malyarenko 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 Dariya Malyarenko. Dariya Malyarenko 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

Lee, Winston, Kristen Pettit, Dariya Malyarenko, et al.. (2025). Quantitative MRI Assessment of Bone Marrow Disease in Myelofibrosis: A Prospective Study. Radiology Imaging Cancer. 7(6). e240501–e240501.

Boss, Michael A., Dariya Malyarenko, Savannah C. Partridge, et al.. (2024). The QIBA Profile for Diffusion-Weighted MRI: Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker. Radiology. 313(1). e233055–e233055. 15 indexed citations

Heist, Kevin, Heang‐Ping Chan, Brian D. Ross, et al.. (2023). Improved Repeatability of Mouse Tibia Volume Segmentation in Murine Myelofibrosis Model Using Deep Learning. Tomography. 9(2). 589–602. 4 indexed citations

Malyarenko, Dariya, et al.. (2023). Technical note: hydrogel‐based mimics of prostate cancer with matched relaxation, diffusion and kurtosis for validating multi‐parametric MRI. Medical Physics. 51(5). 3590–3596. 1 indexed citations

Akın, Oğuz, Ramesh Paudyal, Amaresha Shridhar Konar, et al.. (2023). Multiparametric MRI in Era of Artificial Intelligence for Bladder Cancer Therapies. Cancers. 15(22). 5468–5468. 8 indexed citations

Malyarenko, Dariya, Stephen Pickup, Rong Zhou, et al.. (2023). Evaluation of Apparent Diffusion Coefficient Repeatability and Reproducibility for Preclinical MRIs Using Standardized Procedures and a Diffusion-Weighted Imaging Phantom. Tomography. 9(1). 375–386. 4 indexed citations

Ross, Brian D., Dariya Malyarenko, Kevin Heist, et al.. (2023). Repeatability of Quantitative Magnetic Resonance Imaging Biomarkers in the Tibia Bone Marrow of a Murine Myelofibrosis Model. Tomography. 9(2). 552–566. 3 indexed citations

Boss, Michael A., Bradley S. Snyder, Eun‐Hee Kim, et al.. (2022). Repeatability and Reproducibility Assessment of the Apparent Diffusion Coefficient in the Prostate: A Trial of the ECOG‐ACRIN Research Group (ACRIN 6701). Journal of Magnetic Resonance Imaging. 56(3). 668–679. 12 indexed citations

Heist, Kevin, Brock A. Humphries, Johanna M. Buschhaus, et al.. (2022). Multiparametric MRI to quantify disease and treatment response in mice with myeloproliferative neoplasms. JCI Insight. 7(19). 9 indexed citations

10.

Newitt, David C., Savannah C. Partridge, Helga S. Marques, et al.. (2020). Repeatability and Reproducibility of ADC Histogram Metrics from the ACRIN 6698 Breast Cancer Therapy Response Trial. Tomography. 6(2). 177–185. 11 indexed citations

11.

Neal, Colleen H., Akshat C. Pujara, Ashok Srinivasan, et al.. (2020). Prospective Imaging Trial Assessing Gadoteridol Retention in the Deep Brain Nuclei of Women Undergoing Breast MRI. Academic Radiology. 27(12). 1734–1741. 6 indexed citations

12.

Shukla‐Dave, Amita, Nancy A. Obuchowski, Thomas L. Chenevert, et al.. (2019). Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials. Journal of Magnetic Resonance Imaging. 49(7). 35 indexed citations

13.

Malyarenko, Dariya, Scott D. Swanson, Amaresha Shridhar Konar, et al.. (2019). Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom. Tomography. 5(1). 36–43. 12 indexed citations

14.

Chenevert, Thomas L., Dariya Malyarenko, Craig J. Galbán, et al.. (2019). Comparison of Voxel-Wise and Histogram Analyses of Glioma ADC Maps for Prediction of Early Therapeutic Change. Tomography. 5(1). 7–14. 22 indexed citations

15.

Shukla‐Dave, Amita, Nancy A. Obuchowski, Thomas L. Chenevert, et al.. (2018). Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials. Journal of Magnetic Resonance Imaging. 49(7). e101–e121. 252 indexed citations breakdown →

16.

Davenport, Matthew S., Dariya Malyarenko, Yuxi Pang, Hero K. Hussain, & Thomas L. Chenevert. (2016). Effect of Gadoxetate Disodium on Arterial Phase Respiratory Waveforms Using a Quantitative Fast Fourier Transformation–Based Analysis. American Journal of Roentgenology. 208(2). 328–336. 11 indexed citations

17.

Swanson, Scott D., Dariya Malyarenko, Mario L. Fabiilli, et al.. (2016). Molecular, dynamic, and structural origin of inhomogeneous magnetization transfer in lipid membranes. Magnetic Resonance in Medicine. 77(3). 1318–1328. 48 indexed citations

18.

Tracy, Maureen B., William E. Cooke, Christine L. Gatlin, et al.. (2011). Improved signal processing and normalization for biomarker protein detection in broad‐mass‐range TOF mass spectra from clinical samples. PROTEOMICS - CLINICAL APPLICATIONS. 5(7-8). 440–447. 3 indexed citations

19.

Malyarenko, Dariya, et al.. (2010). A Bayesian network approach to feature selection in mass spectrometry data. BMC Bioinformatics. 11(1). 177–177. 21 indexed citations

20.

Malyarenko, Dariya, et al.. (2009). Automated assignment of ionization states in broad‐mass matrix‐assisted laser desorption/ionization spectra of protein mixtures. Rapid Communications in Mass Spectrometry. 24(1). 138–146. 3 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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