Yuki Obama

416 total citations
14 papers, 292 citations indexed

About

Yuki Obama is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yuki Obama has authored 14 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yuki Obama's work include Advanced MRI Techniques and Applications (7 papers), MRI in cancer diagnosis (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Yuki Obama is often cited by papers focused on Advanced MRI Techniques and Applications (7 papers), MRI in cancer diagnosis (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Yuki Obama collaborates with scholars based in Japan. Yuki Obama's co-authors include Hiroshi Toyama, Takahiro Ueda, Kazuhiro Murayama, Yoshiharu Ohno, Hirotaka Ikeda, Masao Yui, Kaori Yamamoto, Yoichi Otomi, Masafumi Harada and Yoshifumi Mizobuchi and has published in prestigious journals such as Radiology, Journal of Magnetic Resonance Imaging and European Radiology.

In The Last Decade

Yuki Obama

14 papers receiving 291 citations

Peers

Countries citing papers authored by Yuki Obama

Since Specialization

Citations

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

Fields of papers citing papers by Yuki Obama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuki Obama

This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Obama. A scholar is included among the top collaborators of Yuki Obama 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 Yuki Obama. Yuki Obama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

#	Work	Indexed citations
1	Deep Learning Reconstruction for DWIs by EPI and FASE Sequences for Head and Neck Tumors 2024 ·Cancers ·Hirotaka Ikeda, Yoshiharu Ohno, Kaori Yamamoto, Kazuhiro Murayama, (unknown), Masao Yui, (unknown), (unknown), (unknown), (unknown), (unknown), Yuki Obama, Takahiro Ueda, Hiroyuki Nagata, Yoshiyuki Ozawa, (unknown), Hiroshi Toyama	2
2	Genomic and phylogenetic characterization of Elizabethkingia anophelis strains: The first two cases of life-threatening infection in Japan 2023 ·Journal of Infection and Chemotherapy ·(unknown), Tadasuke Ooka, (unknown), (unknown), Maiko Hayashida, Daisuke Nakamura, Masaki Akimoto, Makoto Yoshimitsu, Hideki Kawamura, Masatoshi Nakamura, Yuki Obama, Yasuhiro Gotoh, Tetsuya Hayashi, Junichiro Nishi, Kenji Ishitsuka	4
3	Enhanced measures, including PCR-based screening and syndromic surveillance for nosocomial outbreaks of the COVID-19 Omicron variant, using descriptive epidemiology and whole-genome sequencing in a Japanese tertiary care hospital 2023 ·Journal of Infection and Chemotherapy ·Hideki Kawamura, (unknown), (unknown), Nao Murata, Akari Shigemi, Yuichi Kodama, Masatoshi Nakamura, Yuki Obama, R. Fukuyama, (unknown), (unknown), Tomimasa Sunagawa, Hajime Kamiya, Junichiro Nishi	1
4	Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study 2022 ·European Radiology ·Yoshiharu Ohno, Naruomi Akino, Yasuko Fujisawa, (unknown), Yuya Ito, Kenji Fujii, (unknown), Yoshihiro Ida, (unknown), (unknown), (unknown), Ayumi Watanabe, Yuki Obama, (unknown), Takahiro Ueda, Hirotaka Ikeda, Kazuhiro Murayama, Hiroshi Toyama	6
5	Computed DWI MRI Results in Superior Capability for N‐Stage Assessment of Non‐Small Cell Lung Cancer Than That of Actual DWI, STIR Imaging, and FDG‐PET/CT 2022 ·Journal of Magnetic Resonance Imaging ·Yoshiharu Ohno, Masao Yui, Daisuke Takenaka, Takeshi Yoshikawa, Hisanobu Koyama, Yoshimori Kassai, Kaori Yamamoto, (unknown), (unknown), (unknown), Yuki Obama, Takahiro Ueda, Hirotaka Ikeda, (unknown), Kazuhiro Murayama, Hiroshi Toyama	7
6	Deep Learning Reconstruction of Diffusion-weighted MRI Improves Image Quality for Prostatic Imaging 2022 ·Radiology ·Takahiro Ueda, Yoshiharu Ohno, Kaori Yamamoto, Kazuhiro Murayama, (unknown), Masao Yui, (unknown), (unknown), Yuki Obama, Hirotaka Ikeda, Hiroshi Toyama	96
7	MR imaging for shoulder diseases: Effect of compressed sensing and deep learning reconstruction on examination time and imaging quality compared with that of parallel imaging 2022 ·Magnetic Resonance Imaging ·Yuki Obama, Yoshiharu Ohno, Kaori Yamamoto, (unknown), Masao Yui, (unknown), Takahiro Ueda, Hirotaka Ikeda, Kazuhiro Murayama, Hiroshi Toyama	14
8	State-of-the-art MR Imaging for Thoracic Diseases 2021 ·Magnetic Resonance in Medical Sciences ·(unknown), Yoshiharu Ohno, (unknown), Yuki Obama, Takahiro Ueda, Hirotaka Ikeda, (unknown), (unknown), (unknown), Kazuhiro Murayama, Takeshi Yoshikawa, Daisuke Takenaka, Hisanobu Koyama, Hiroshi Toyama	10
9	Machine learning for lung texture analysis on thin-section CT: Capability for assessments of disease severity and therapeutic effect for connective tissue disease patients in comparison with expert panel evaluations 2021 ·Acta Radiologica ·Yoshiharu Ohno, Kota Aoyagi, Daisuke Takenaka, Takeshi Yoshikawa, Yasuko Fujisawa, Naoki Sugihara, (unknown), (unknown), Yuki Obama, Takahiro Ueda, (unknown), Kazuhiro Murayama, Hiroshi Toyama	8
10	Overview of MRI for pulmonary functional imaging 2021 ·British Journal of Radiology ·Yoshiharu Ohno, (unknown), Yuki Obama, Takahiro Ueda, Hirotaka Ikeda, (unknown), Kazuhiro Murayama, Hiroshi Toyama	18
11	Compressed sensing and deep learning reconstruction for women’s pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice 2020 ·European Journal of Radiology ·Takahiro Ueda, Yoshiharu Ohno, Kaori Yamamoto, (unknown), (unknown), (unknown), Yuki Obama, Hirotaka Ikeda, (unknown), Masao Yui, Kazuhiro Murayama, Hiroshi Toyama	61
12	The diagnostic ability of SPECT/CT fusion imaging for gastrointestinal bleeding: a retrospective study 2018 ·BMC Gastroenterology ·Yoichi Otomi, Hideki Otsuka, (unknown), (unknown), Yuki Obama, (unknown), (unknown), (unknown), Michiko Kubo, (unknown), Takashi Abe, Masafumi Harada	5
13	Diagnosis of brain tumors using dynamic contrast-enhanced perfusion imaging with a short acquisition time 2015 ·SpringerPlus ·Takashi Abe, Yoshifumi Mizobuchi, Kohei Nakajima, Yoichi Otomi, (unknown), Yuki Obama, (unknown), (unknown), Teruyoshi Kageji, Shinji Nagahiro, Masafumi Harada	41
14	Clinical Significance of Discrepancy between Arterial Spin Labeling Images and Contrast-enhanced Images in the Diagnosis of Brain Tumors 2015 ·Magnetic Resonance in Medical Sciences ·Takashi Abe, Yoshifumi Mizobuchi, Wataru Sako, (unknown), Yoichi Otomi, Yuki Obama, Kohei Nakajima, (unknown), (unknown), Teruyoshi Kageji, Shinji Nagahiro, Masafumi Harada	19

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.

Explore authors with similar magnitude of impact