Masahiro Yanagawa

4.1k total citations · 1 hit paper
117 papers, 2.3k citations indexed

About

Masahiro Yanagawa is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Masahiro Yanagawa has authored 117 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Radiology, Nuclear Medicine and Imaging, 59 papers in Pulmonary and Respiratory Medicine and 29 papers in Biomedical Engineering. Recurrent topics in Masahiro Yanagawa's work include Radiomics and Machine Learning in Medical Imaging (41 papers), Medical Imaging Techniques and Applications (36 papers) and Lung Cancer Diagnosis and Treatment (29 papers). Masahiro Yanagawa is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (41 papers), Medical Imaging Techniques and Applications (36 papers) and Lung Cancer Diagnosis and Treatment (29 papers). Masahiro Yanagawa collaborates with scholars based in Japan, United States and United Kingdom. Masahiro Yanagawa's co-authors include Noriyuki Tomiyama, Osamu Honda, Akinori Hata, Hiromitsu Sumikawa, Tomo Miyata, Noriko Kikuchi, Takeshi Johkoh, Atsuo Inoue, Ayumi Uranishi and Shinsuke Tsukagoshi and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Scientific Reports and Radiology.

In The Last Decade

Masahiro Yanagawa

103 papers receiving 2.3k 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.

Fairness of artificial intelligence in healthcare: review and recommendations

2023 236 citations Daiju Ueda, Shohei Fujita et al. Japanese Journal of Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masahiro Yanagawa Japan	28	1.2k	1.1k	554	249	193	117	2.3k
Eui Jin Hwang South Korea	27	1.9k 1.5×	1.2k 1.2×	384 0.7×	387 1.6×	350 1.8×	93	2.7k
Arnaldo Stanzione Italy	30	1.7k 1.3×	914 0.9×	454 0.8×	285 1.1×	346 1.8×	100	2.5k
Jean Jeudy United States	30	1.1k 0.9×	787 0.7×	247 0.4×	280 1.1×	271 1.4×	127	2.8k
Lorenzo Faggioni Italy	28	1.1k 0.9×	467 0.4×	386 0.7×	190 0.8×	120 0.6×	112	1.9k
Elmar Kotter Germany	27	1.4k 1.1×	674 0.6×	727 1.3×	508 2.0×	272 1.4×	112	2.7k
Yusuke Matsui Japan	25	571 0.5×	1.2k 1.1×	279 0.5×	280 1.1×	155 0.8×	123	2.0k
Bhavik N. Patel United States	26	1.4k 1.1×	455 0.4×	938 1.7×	194 0.8×	240 1.2×	117	2.4k
Paras Lakhani United States	18	1.3k 1.1×	498 0.5×	255 0.5×	343 1.4×	517 2.7×	39	2.0k
Christoph Wald United States	24	831 0.7×	564 0.5×	278 0.5×	298 1.2×	133 0.7×	85	2.0k
Kyung Hee Lee South Korea	24	1.2k 1.0×	1.1k 1.1×	275 0.5×	68 0.3×	130 0.7×	121	2.4k

Countries citing papers authored by Masahiro Yanagawa

Since Specialization

Citations

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

Fields of papers citing papers by Masahiro Yanagawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiro Yanagawa

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

Koyama, Yukiko, et al.. (2026). Lung stress mapping: an innovative technology to visualize the hidden risk of ventilator-induced lung injury. American Journal of Respiratory and Critical Care Medicine. 212(3). 452–463.

Nozaki, Taiki, Masahiro Hashimoto, Daiju Ueda, et al.. (2025). Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?. La radiologia medica. 130(5). 587–597. 1 indexed citations

Honda, Maya, Mami Iima, Masako Kataoka, et al.. (2025). Breast cancer imaging without gadolinium-based contrast agent: A review of current applications and future trends. Diagnostic and Interventional Imaging. 107(2). 51–61.

Yanagawa, Masahiro, Joungho Han, Noriaki Wada, et al.. (2025). Advances in Concept and Imaging of Interstitial Lung Disease. Radiology. 315(2). e241252–e241252. 2 indexed citations

Kurokawa, Ryo, Akifumi Hagiwara, Rintaro Ito, et al.. (2025). Illuminating radiogenomic signatures in pediatric-type diffuse gliomas: insights into molecular, clinical, and imaging correlations. Part II: low-grade group. La radiologia medica. 130(9). 1503–1515.

Nakaura, Takeshi, Rintaro Ito, Daiju Ueda, et al.. (2024). The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI. Japanese Journal of Radiology. 42(7). 685–696. 53 indexed citations

Chae, Kum Ju, Jong Eun Lee, Masahiro Yanagawa, et al.. (2024). Optimizing prone CT use for suspected interstitial lung abnormalities. European Radiology. 35(6). 3021–3029.

Yanagawa, Masahiro, et al.. (2024). Three-dimensional iodine mapping quantified by dual-energy CT for predicting programmed death-ligand 1 expression in invasive pulmonary adenocarcinoma. Scientific Reports. 14(1). 18310–18310. 1 indexed citations

Sato, Junya, Masahiro Yanagawa, Akinori Hata, et al.. (2024). Radiologists Versus AI-Based Software: Predicting Lymph Node Metastasis and Prognosis in Lung Adenocarcinoma From CT Under Various Image Display Conditions. Clinical Lung Cancer. 26(1). 58–71.

10.

Tatsugami, Fuminari, Takeshi Nakaura, Masahiro Yanagawa, et al.. (2023). Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction. Diagnostic and Interventional Imaging. 104(11). 521–528. 28 indexed citations

11.

Yamada, Akira, Koji Kamagata, Kenji Hirata, et al.. (2023). Clinical applications of artificial intelligence in liver imaging. La radiologia medica. 128(6). 655–667. 23 indexed citations

12.

Hirata, Kenji, Koji Kamagata, Daiju Ueda, et al.. (2023). From FDG and beyond: the evolving potential of nuclear medicine. Annals of Nuclear Medicine. 37(11). 583–595. 15 indexed citations

13.

Yanagawa, Masahiro, Mitsuko Tsubamoto, Yuki Suzuki, et al.. (2022). Radiologists with and without deep learning–based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses. European Radiology. 33(1). 348–359. 14 indexed citations

14.

Yoshida, Yuriko, Masahiro Yanagawa, Akinori Hata, et al.. (2021). Quantitative volumetry of ground-glass nodules on high-spatial-resolution CT with 0.25-mm section thickness and 1024 matrix: Phantom and clinical studies. European Journal of Radiology Open. 8. 100362–100362. 3 indexed citations

15.

Putman, Rachel K., Gunnar Guðmundsson, G. Axelsson, et al.. (2019). Imaging Patterns Are Associated with Interstitial Lung Abnormality Progression and Mortality. American Journal of Respiratory and Critical Care Medicine. 200(2). 175–183. 145 indexed citations

16.

Honda, Osamu, Masahiro Yanagawa, Akinori Hata, et al.. (2018). Influence of gantry rotation time and scan mode on image quality in ultra-high-resolution CT system. European Journal of Radiology. 103. 71–75. 14 indexed citations

17.

Yanagawa, Masahiro, Keiko Kuriyama, Noriyuki Tomiyama, et al.. (2009). One-dimensional quantitative evaluation of peripheral lung adenocarcinoma with or without ground-glass opacity on thin-section CT images using profile curves. British Journal of Radiology. 82(979). 532–540. 22 indexed citations

18.

Johkoh, Takeshi, Hiromitsu Sumikawa, Osamu Honda, et al.. (2007). Acute eosinophilic pneumonia: Thin-section CT findings in 29 patients. European Journal of Radiology. 65(3). 462–467. 54 indexed citations

19.

Yanagawa, Masahiro, Keiko Kuriyama, Mitsuhiro Koyama, et al.. (2006). Solitary pulmonary metastases from renal cell carcinoma: comparison of high-resolution CT with pathological findings. Radiation Medicine. 24(10). 680–686. 3 indexed citations

20.

Yamada, Yasushi, et al.. (1998). [A case of metastatic ureteral tumor from rectal cancer].. PubMed. 44(1). 41–3. 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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