Akane Ohashi

598 citations
25 papers · 432 · h-index 13

Impact in

Papers in

Akane Ohashi

24 papers receiving 429 citations

Peers

Akane Ohashi
Comparison fields: 5 of 35
  • Radiology, Nuclear Medicine and Imaging 412
  • Pathology and Forensic Medicine 54
  • Cancer Research 23
  • Pulmonary and Respiratory Medicine 31
  • Biomedical Engineering 33
Replace Maya Honda with:
Maya Honda Japan
Ayami Ohno Kishimoto Japan
Averi E. Kitsch United States
Lisa Cimino United States
Duraisamy Ravichandran United Kingdom
D. Kieper United States
Valeria Dominelli Italy
M.D. den Hartogh Netherlands
Charles Lemarignier France
Jeffrey Hawley United States
Akane Ohashi relative to Maya Honda Japan Maya Honda's profile →
Citations per field
00.5×10×13×
Maya Honda · 1×
Citations per year

Countries citing papers authored by Akane Ohashi

Since Specialization
Citations

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

Fields of papers citing papers by Akane Ohashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Akane Ohashi, 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 Akane Ohashi Line = papers co-authored together Akane Ohashi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201795
2 201946
3
[Development of real-time CT fluoroscopy].
199430
4 201929
5 202228
6 202121
7 202019
8 202018
9 201816
10 202016
11 202015
12 202014
13 201713
14 201812
15 20189
16 20239
17 20229
18 20238
19 20238
20 20227

About Akane Ohashi

Akane Ohashi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Cancer Research, Artificial Intelligence and Materials Chemistry, having authored 25 papers that have together received 432 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (23 papers), Advanced MRI Techniques and Applications (13 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Breast Lesions and Carcinomas (5 papers), Breast Cancer Treatment Studies (3 papers), Medical Imaging Techniques and Applications (2 papers) and Lanthanide and Transition Metal Complexes (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (412 citations), Pathology and Forensic Medicine (54 citations), Cancer Research (23 citations), Pulmonary and Respiratory Medicine (31 citations) and Biomedical Engineering (33 citations). Akane Ohashi has collaborated with scholars based in Japan, Sweden and Germany. Frequent co-authors include Mami Iima, Masako Kataoka, Masakazu Toi, Kaori Togashi, Shotaro Kanao, Natsuko Onishi, Maya Honda, Makiko Kawai, Dominik Nickel and Ayami Ohno Kishimoto. Their work appears in journals such as Magnetic Resonance in Medical Sciences, European Journal of Radiology, Journal of Magnetic Resonance Imaging, European Radiology and Magnetic Resonance Imaging.

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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