Haruka Itakura

686 citations
21 papers · 489 · h-index 11

Impact in

Papers in

    • Radiomics and Machine Learning in Medical Imaging 5
    • MRI in cancer diagnosis 2
    • Medical Imaging Techniques and Applications 2
    • Colorectal Cancer Treatments and Studies 2
    • Inflammatory Biomarkers in Disease Prognosis 1

Haruka Itakura

19 papers receiving 463 citations

Peers

Haruka Itakura
Comparison fields: 5 of 72
  • Genetics 98
  • Internal Medicine 20
  • Radiology, Nuclear Medicine and Imaging 127
  • General Health Professions 84
  • Cancer Research 32
Replace Mohammed Ashraf with:
Mohammed Ashraf United States
Alexandria Brackett United States
Sharon C. Dutton United States
Steffi Pigorsch Germany
Marcelo Gerardin Poirot Land Brazil
Francisco Pedrosa Brazil
Elizabeth Brown Australia
Jessica Weiss Canada
P. Giraud France
Andrew B. Smitherman United States
Haruka Itakura relative to Mohammed Ashraf United States Mohammed Ashraf's profile →
Citations per field
00.5×8.9×
Mohammed Ashraf · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Haruka Itakura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Haruka Itakura Line = papers co-authored together Haruka Itakura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015199
2
Bridging language and cultural barriers between physicians and patients.
1997101
3 200738
4 200329
5 202325
6 200519
7 200316
8 200716
9 200312
10 199912
11 202110
12 20253
13 20222
14 20032
15 20191
16 20221
17 19971
18 20031
19 19941
20 20250

About Haruka Itakura

Haruka Itakura is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Cancer Research, Surgery and Genetics, having authored 21 papers that have together received 489 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Cancer, Lipids, and Metabolism (3 papers), MRI in cancer diagnosis (2 papers), Brain Tumor Detection and Classification (2 papers), Medical Imaging Techniques and Applications (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Genetics (98 citations), Internal Medicine (20 citations), Radiology, Nuclear Medicine and Imaging (127 citations), General Health Professions (84 citations) and Cancer Research (32 citations). Haruka Itakura has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Sandra R. Wilson, John Hornberger, Daniel L. Rubin, Joshua Loya, Sebastian Echegaray, Achal S. Achrol, Abdullah Feroze, Tiffany Liu, Griffith R. Harsh and Olivier Gevaert. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Urology, American Heart Journal, Atherosclerosis and Nature Communications.

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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