Osamu Abe

20.4k total citations · 1 hit paper
604 papers, 13.8k citations indexed

About

Osamu Abe is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Osamu Abe has authored 604 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 304 papers in Radiology, Nuclear Medicine and Imaging, 100 papers in Cognitive Neuroscience and 98 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Osamu Abe's work include Advanced Neuroimaging Techniques and Applications (146 papers), Advanced MRI Techniques and Applications (106 papers) and Functional Brain Connectivity Studies (80 papers). Osamu Abe is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (146 papers), Advanced MRI Techniques and Applications (106 papers) and Functional Brain Connectivity Studies (80 papers). Osamu Abe collaborates with scholars based in Japan, United States and Germany. Osamu Abe's co-authors include Shigeki Aoki, Kuni Ohtomo, Koichiro Yasaka, Hiroyuki Akai, Naoto Hayashi, Akira Kunimatsu, Hidenori Yamasue, Shigeru Kiryu, Kiyoto Kasai and Yoshitaka Masutani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Neuroscience.

In The Last Decade

Osamu Abe

551 papers receiving 13.5k 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.

Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study

2017 480 citations Koichiro Yasaka, Hiroyuki Akai et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Osamu Abe Japan	60	6.9k	3.2k	2.0k	1.5k	1.1k	604	13.8k
Jürgen R. Reichenbach Germany	61	9.0k 1.3×	3.6k 1.1×	2.5k 1.3×	1.1k 0.7×	778 0.7×	350	15.2k
Danny J.J. Wang United States	61	8.7k 1.3×	4.4k 1.4×	1.7k 0.9×	1.1k 0.8×	1.9k 1.7×	308	15.0k
Paul A. Yushkevich United States	45	7.9k 1.1×	4.3k 1.3×	1.4k 0.7×	2.3k 1.6×	1.5k 1.4×	218	18.2k
Walter H. Backes Netherlands	58	3.8k 0.5×	2.8k 0.9×	1.4k 0.7×	1.8k 1.2×	1.3k 1.1×	304	10.9k
Nicholas J. Tustison United States	33	5.4k 0.8×	3.5k 1.1×	1.1k 0.5×	1.1k 0.7×	1.0k 0.9×	133	12.1k
Henrik Larsson Denmark	60	8.0k 1.2×	1.4k 0.4×	1.3k 0.7×	2.3k 1.6×	1.3k 1.2×	305	14.6k
Claus Zimmer Germany	66	5.2k 0.8×	4.3k 1.3×	2.4k 1.2×	1.7k 1.1×	2.2k 2.0×	577	16.7k
Shigeki Aoki Japan	56	6.1k 0.9×	2.3k 0.7×	2.7k 1.4×	1.3k 0.9×	596 0.5×	425	11.3k
John G. Sled Canada	52	5.1k 0.7×	2.6k 0.8×	1.0k 0.5×	1.3k 0.9×	878 0.8×	239	13.9k
P. Ellen Grant United States	63	5.3k 0.8×	3.4k 1.1×	1.2k 0.6×	1.9k 1.3×	1.0k 0.9×	358	13.6k

Countries citing papers authored by Osamu Abe

Since Specialization

Citations

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

Fields of papers citing papers by Osamu Abe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Osamu Abe

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

Gonoi, Wataru, Kotaro Sugawara, Satoru Taguchi, et al.. (2024). Association between sex-specific criteria for visceral obesity and surgical site infection after gastrectomy. Journal of Gastrointestinal Surgery. 29(2). 101919–101919.

Hanaoka, Shouhei, Yukihiro Nomura, T. Yoshikawa, et al.. (2024). Detection of pulmonary nodules in chest radiographs: novel cost function for effective network training with purely synthesized datasets. International Journal of Computer Assisted Radiology and Surgery. 19(10). 1991–2000. 4 indexed citations

Kurokawa, Ryo, et al.. (2024). Radiological Imaging Findings of Adrenal Abnormalities in TAFRO Syndrome: A Systematic Review. Biomedicines. 12(4). 837–837. 4 indexed citations

Hanaoka, Shouhei, Takahiro Nakao, Tomohiro Kikuchi, et al.. (2024). Practical Medical Image Generation with Provable Privacy Protection Based on Denoising Diffusion Probabilistic Models for High-Resolution Volumetric Images. Applied Sciences. 14(8). 3489–3489. 3 indexed citations

Hanaoka, Shouhei, et al.. (2024). A radiomics approach in predicting the risk of diabetes mellitus type II emergence in five years using mammography images. 53. 33–33.

Kurokawa, Ryo, Mariko Kurokawa, Akira Baba, et al.. (2023). Neuroimaging of hypophysitis: etiologies and imaging mimics. Japanese Journal of Radiology. 41(9). 911–927. 11 indexed citations

Akai, Hiroyuki, Koichiro Yasaka, Taku Tajima, et al.. (2023). Acceleration of knee magnetic resonance imaging using a combination of compressed sensing and commercially available deep learning reconstruction: a preliminary study. BMC Medical Imaging. 23(1). 5–5. 12 indexed citations

Ito, Kimiteru, Hirokazu Watanabe, Hiroyuki Akai, et al.. (2023). Is 18F-fluorodeoxyglucose PET recommended for small lung nodules? CT findings of 18F-fluorodeoxyglucose non-avid lung cancer. British Journal of Radiology. 97(1154). 462–468.

Suzuki, Fumio, Shiori Amemiya, Hiroyuki Ishiura, et al.. (2023). A case of intravascular lymphoma presenting with a lesion in the splenium of the corpus callosum. SHILAP Revista de lepidopterología. 18(5). 1929–1932. 1 indexed citations

10.

Furuta, Toshihiro, et al.. (2023). Feasibility study of direct CT lymphangiography in mice: comparison with interstitial CT/MR lymphangiography. European Radiology. 33(7). 5028–5036. 1 indexed citations

11.

Gonoi, Wataru, Yusuke Watanabe, Hiroyuki Abé, et al.. (2022). Early postmortem changes in the pulmonary artery and veins: An antemortem and postmortem computed tomography study. Forensic Imaging. 28. 200497–200497. 1 indexed citations

12.

Nakatani, Hironori, Walid Yassin, Norihide Maikusa, et al.. (2022). Application of a Machine Learning Algorithm for Structural Brain Images in Chronic Schizophrenia to Earlier Clinical Stages of Psychosis and Autism Spectrum Disorder: A Multiprotocol Imaging Dataset Study. Schizophrenia Bulletin. 48(3). 563–574. 29 indexed citations

13.

Koshiyama, Daisuke, Norihide Maikusa, Naohiro Okada, et al.. (2022). Structural brain abnormalities in schizophrenia patients with a history and presence of auditory verbal hallucination. Translational Psychiatry. 12(1). 511–511. 5 indexed citations

14.

Nakamura, Yuko, Hitoshi Kuwabara, Osamu Abe, et al.. (2021). Unique Morphometric Features of the Cerebellum and Cerebellocerebral Structural Correlation Between Autism Spectrum Disorder and Schizophrenia. SHILAP Revista de lepidopterología. 1(3). 219–228. 4 indexed citations

15.

Hayashi, Toshihiro, Yuichi Watanabe, Kazuya Takeda, et al.. (2020). Multicenter Survey on Radiation Dose of Cardiac Intervention. Japanese Journal of Radiological Technology. 76(7). 715–724. 2 indexed citations

16.

Imae, Toshikazu, Shizuo Kaji, Satoshi Kida, et al.. (2020). Improvement in Image Quality of CBCT during Treatment by Cycle Generative Adversarial Network. Japanese Journal of Radiological Technology. 76(11). 1173–1184. 2 indexed citations

17.

Yassin, Walid, Hironori Nakatani, Masaki Kojima, et al.. (2020). Machine-learning classification using neuroimaging data in schizophrenia, autism, ultra-high risk and first-episode psychosis. Translational Psychiatry. 10(1). 278–278. 87 indexed citations

18.

Tsutsui, Isao, et al.. (2020). Use of a filamentous green alga (Chaetomorpha sp.) and microsnail (Stenothyra sp.) as feed at an early stage of intensive aquaculture promotes growth performance, artificial feed efficiency, and profitability of giant tiger prawn (Penaeus monodon). PLoS ONE. 15(12). e0244607–e0244607. 3 indexed citations

19.

Hagiwara, Akifumi, Koji Kamagata, Keigo Shimoji, et al.. (2019). White Matter Abnormalities in Multiple Sclerosis Evaluated by Quantitative Synthetic MRI, Diffusion Tensor Imaging, and Neurite Orientation Dispersion and Density Imaging. American Journal of Neuroradiology. 40(10). 1642–1648. 50 indexed citations

20.

Hagiwara, Akifumi, Masaaki Hori, Kazumasa Yokoyama, et al.. (2017). Analysis of White Matter Damage in Patients with Multiple Sclerosis via a Novel In Vivo MR Method for Measuring Myelin, Axons, and G-Ratio. American Journal of Neuroradiology. 38(10). 1934–1940. 39 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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