Haruka Itakura

675 total citations
21 papers, 474 citations indexed

About

Haruka Itakura is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Cancer Research. According to data from OpenAlex, Haruka Itakura has authored 21 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Haruka Itakura's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Cancer, Lipids, and Metabolism (3 papers) and MRI in cancer diagnosis (2 papers). Haruka Itakura is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Cancer, Lipids, and Metabolism (3 papers) and MRI in cancer diagnosis (2 papers). Haruka Itakura collaborates with scholars based in United States, Japan and Germany. Haruka Itakura's co-authors include Sandra R. Wilson, John Hornberger, Olivier Gevaert, Daniel T. Chang, Achal S. Achrol, Erick M. Westbroek, Kristen W. Yeom, Joshua Loya, Griffith R. Harsh and Abdullah Feroze and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The Journal of Urology.

In The Last Decade

Haruka Itakura

19 papers receiving 448 citations

Peers

Haruka Itakura

RNMI

GENET

GHP

PRM

ONCOL

Marcelo Gerardin Poirot Land Brazil

Jodi Lynch Australia

Jong Myon Bae South Korea

Merete Pedersen Denmark

David Yao United States

Jason C. Ford Canada

Ohad Oren United States

Margaret M. Farrell United States

Rachel Archer United Kingdom

Hayan Jouni United States

Marcelo Gerardin Poirot Land Brazil

Haruka Itakura

40 ×0.2

RNMI

67 ×0.6

GENET

46 ×0.5

GHP

39 ×0.6

PRM

92 ×1.8

ONCOL

Citations per year, relative to Haruka Itakura Haruka Itakura (= 1×) peers Marcelo Gerardin Poirot Land

Countries citing papers authored by Haruka Itakura

Since Specialization

Citations

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

Fields of papers citing papers by Haruka Itakura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haruka Itakura

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

Zheng, Yuanning, et al.. (2025). Response to Antiangiogenic Therapy Is Associated with AIMP Protein Family Expression in Glioblastoma and Lower-Grade Gliomas. Cancer Research Communications. 5(9). 1651–1663.

Yağmurlu, Banu, et al.. (2025). Brain tumor segmentation using deep learning: high performance with minimized MRI data. PubMed. 5. 1616293–1616293. 1 indexed citations

Zheng, Yuanning, A. Mantz, Andrew Kozlov, et al.. (2025). A 20-feature radiomic signature of triple-negative breast cancer identifies patients at high risk of death. npj Breast Cancer. 11(1). 79–79.

Ransohoff, Julia D., Natasha Purington, Summer S. Han, et al.. (2023). Antimicrobial exposure is associated with decreased survival in triple-negative breast cancer. Nature Communications. 14(1). 2053–2053. 21 indexed citations

Kozlov, Andrew, Debra M. Ikeda, Wendy B. DeMartini, et al.. (2022). Harnessing artificial intelligence to automate delineation of volumetric breast cancers from magnetic resonance imaging to improve tumor characterization.. Journal of Clinical Oncology. 40(16_suppl). 597–597. 1 indexed citations

Iv, Michael, et al.. (2022). Deep learning-based brain tumor segmentation on limited sequences of magnetic resonance imaging.. Journal of Clinical Oncology. 40(16_suppl). 2054–2054. 1 indexed citations

Caswell‐Jin, Jennifer L., Alison Callahan, Natasha Purington, et al.. (2021). Treatment and Monitoring Variability in US Metastatic Breast Cancer Care. JCO Clinical Cancer Informatics. 5(5). 600–614. 7 indexed citations

Itakura, Haruka, Debra M. Ikeda, Blaine Rister, et al.. (2019). Radiomics features to identify distinct subtypes of triple-negative breast cancers.. Journal of Clinical Oncology. 37(15_suppl). 3069–3069. 1 indexed citations

Knowles, Joshua W., Haruka Itakura, Audrey Southwick, et al.. (2007). Association of polymorphisms in platelet and hemostasis system genes with acute myocardial infarction. American Heart Journal. 154(6). 1052–1058. 38 indexed citations

10.

Itakura, Haruka, Burton E. Sobel, Derek Boothroyd, et al.. (2007). Do plasma biomarkers of coagulation and fibrinolysis differ between patients who have experienced an acute myocardial infarction versus stable exertional angina?. American Heart Journal. 154(6). 1059–1064. 16 indexed citations

11.

Itakura, Haruka. (2005). Racial disparities in risk factors for thrombosis. Current Opinion in Hematology. 12(5). 364–369. 19 indexed citations

12.

Shapiro, Michael, Mariusz A. Wasik, Jacqueline M. Junkins‐Hopkins, et al.. (2003). Complete remission in advanced blastic NK‐cell lymphoma/leukemia in elderly patients using the hyper‐CVAD regimen. American Journal of Hematology. 74(1). 46–51. 29 indexed citations

13.

Itakura, Haruka, David J. Vaughn, Daniel G. Haller, & Peter J. O’Dwyer. (2003). Rhabdomyolysis from cytochrome p-450 interaction of ketoconazole and simvastatin in prostate cancer.. PubMed. 169(2). 613–613. 16 indexed citations

14.

Itakura, Haruka, et al.. (2003). Rhabdomyolysis from Cytochrome P-450 Interaction of Ketoconazole and Simvastatin in Prostate Cancer. The Journal of Urology. 613–613. 1 indexed citations

15.

Itakura, Haruka, David J. Vaughn, Daniel G. Haller, & Peter J. O’Dwyer. (2003). Rhabdomyolysis from Cytochrome P-450 Interaction of Ketoconazole and Simvastatin in Prostate Cancer. The Journal of Urology. 169(2). 613–613. 12 indexed citations

16.

Terada, Shin, et al.. (2003). Effect of apolipoprotein E polymorphism on bile lipid composition and cholesterol gallstone formation. Journal of Hepatology. 38. 186–186. 2 indexed citations

17.

Lynn, Joanne, Joan M. Teno, Rebecca Dresser, et al.. (1999). Dementia and Advance-Care Planning: Perspectives from Three Countries on Ethics and Epidemiology. The Journal of Clinical Ethics. 10(4). 271–285. 12 indexed citations

18.

Hornberger, John, Haruka Itakura, & Sandra R. Wilson. (1997). Bridging language and cultural barriers between physicians and patients.. PubMed. 112(5). 410–7. 101 indexed citations

19.

Utsunomiya, Kazunori, et al.. (1997). 1.P.335 LpAI levels in Japan. Atherosclerosis. 134(1-2). 87–87. 1 indexed citations

20.

Kuga, Yoshio, et al.. (1994). Apoliprotein A-I/C-III, B gene polymorphisms, apo E phenotype, lipoproteins and coronary atherosclerosis in a Japanese population. Atherosclerosis. 109(1-2). 205–205. 1 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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