Yukio Miki

14.1k total citations · 1 hit paper
526 papers, 9.9k citations indexed

About

Yukio Miki is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yukio Miki has authored 526 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Radiology, Nuclear Medicine and Imaging, 97 papers in Surgery and 66 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yukio Miki's work include Advanced MRI Techniques and Applications (39 papers), Advanced Neuroimaging Techniques and Applications (31 papers) and Liver Disease and Transplantation (28 papers). Yukio Miki is often cited by papers focused on Advanced MRI Techniques and Applications (39 papers), Advanced Neuroimaging Techniques and Applications (31 papers) and Liver Disease and Transplantation (28 papers). Yukio Miki collaborates with scholars based in Japan, United States and India. Yukio Miki's co-authors include Daiju Ueda, Kaori Togashi, Jayaram K. Udupa, Hidenao Fukuyama, Robert I. Grossman, Akira Yamamoto, Taro Shimono, Mark A. van Buchem, Akira Yamamoto and Yasutaka Fushimi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Yukio Miki

485 papers receiving 9.5k citations

Hit Papers

A systematic review and m... 2025 2026 2025 5 10 15 20 25
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.

  1. A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians
    2025 28 citations Hirotaka Takita, Daijiro Kabata et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yukio Miki 2.3k 1.5k 1.2k 1.2k 1.1k 526 9.9k
Cheng‐Yu Chen 1.6k 0.7× 1.9k 1.3× 1.3k 1.0× 1.4k 1.2× 1.1k 1.0× 460 9.5k
Bin Zhang 2.3k 1.0× 1.9k 1.3× 1.5k 1.2× 1.8k 1.5× 1.6k 1.5× 673 11.8k
Giuliano Mariani 2.3k 1.0× 1.5k 1.0× 1.2k 1.0× 2.4k 2.0× 1.7k 1.6× 462 12.1k
Harold Atkins 2.1k 0.9× 2.0k 1.4× 895 0.7× 749 0.6× 1.2k 1.0× 289 9.3k
Kunihiro Nishimura 922 0.4× 1.2k 0.8× 1.4k 1.1× 1.7k 1.5× 1.5k 1.3× 444 9.4k
John Eng 2.8k 1.2× 2.1k 1.4× 1.2k 1.0× 3.4k 2.9× 1.1k 0.9× 224 11.4k
Petros P. Sfikakis 1.3k 0.6× 1.8k 1.2× 1.2k 1.0× 969 0.8× 2.5k 2.2× 508 13.4k
Hye Sun Lee 1.4k 0.6× 1.5k 1.0× 2.7k 2.2× 2.3k 1.9× 1.8k 1.6× 701 12.5k
Carsten Tschöpe 2.4k 1.0× 4.6k 3.1× 1.7k 1.4× 3.7k 3.1× 1.6k 1.5× 355 22.7k
Fiona J. Gilbert 4.3k 1.9× 2.2k 1.5× 545 0.4× 1.0k 0.9× 2.1k 1.9× 349 12.0k

Countries citing papers authored by Yukio Miki

Since Specialization
Citations

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

Fields of papers citing papers by Yukio Miki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukio Miki

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

All Works

20 of 20 papers shown
1.
Tomita, Yoshihiko, et al.. (2025). Percutaneous transabdominal drainage for pyometra: A case report. Radiology Case Reports. 20(6). 2802–2805.
2.
Wada, Takashi, et al.. (2025). Surgical correction of ventricular septal defect in a cat. Journal of Veterinary Cardiology. 59. 139–144.
3.
Ueda, Daiju, Toshimasa Matsumoto, Akira Yamamoto, et al.. (2024). A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan. The Lancet Digital Health. 6(8). e580–e588. 4 indexed citations
4.
5.
Takita, Hirotaka, Daijiro Kabata, Shannon L. Walston, et al.. (2024). Diagnostic Performance Comparison between Generative AI and Physicians: A Systematic Review and Meta-Analysis. medRxiv. 18 indexed citations
6.
Mitsuyama, Yasuhito, Hiroyuki Tatekawa, Hirotaka Takita, et al.. (2024). Comparative analysis of GPT-4-based ChatGPT’s diagnostic performance with radiologists using real-world radiology reports of brain tumors. European Radiology. 35(4). 1938–1947. 26 indexed citations
7.
8.
Okamoto, Kosuke, Akitoshi Takeda, Hiroyuki Hatsuta, et al.. (2023). An autopsy case of progressive multifocal leukoencephalopathy with massive iron deposition in juxtacortical lesions. Neuropathology. 43(5). 396–402.
9.
Shimono, Taro, et al.. (2021). Ectopic thyroid tissue at the skull base: a case report. Neuroradiology. 63(10). 1739–1742. 1 indexed citations
10.
Tatekawa, Hiroyuki, Shinichi Sakamoto, Masaaki Hori, et al.. (2018). Imaging Differences between Neuromyelitis Optica Spectrum Disorders and Multiple Sclerosis: A Multi-Institutional Study in Japan. American Journal of Neuroradiology. 39(7). 1239–1247. 20 indexed citations
11.
Miki, Yukio, Hiroyoshi Isoda, & Kaori Togashi. (2009). Guideline to use gadolinium‐based contrast agents at Kyoto University Hospital. Journal of Magnetic Resonance Imaging. 30(6). 1364–1365. 3 indexed citations
12.
Kitamura, Masahiro, Yoshio Shimabukuro, Y Kusumoto, et al.. (1995). TOPICAL APPLICATION OF NEW CONTROLLED-RELEASE INSERTS FOR PERIODONTAL-DISEASE. Journal of Dental Research. 74(3). 983. 2 indexed citations
13.
Nakano, Shigeyuki, Tetsuro Naruo, Kouki Watanabe, et al.. (1991). Chronopharmacological Study of a Nonsedative H1-blocking Agent (WAL 801 CL, Epinastine).. Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics. 22(3). 617–626. 1 indexed citations
14.
Miki, Yukio, et al.. (1984). Status of synfuels development in Japan. Proc., Intersoc. Energy Convers. Eng. Conf.; (United States). 2. 1 indexed citations
15.
Miki, Yukio, et al.. (1984). MALIGNANT SKIN TUMORS AMONG DERMATOLOGY PATIENTS IN UNIVERSITY HOSPITALS OF JAPAN. The Journal of Dermatology. 11(4). 313–321. 36 indexed citations
16.
Ohtsuka, Hisashi, et al.. (1982). Trilobed flap in facial reconstruction. British Journal of Plastic Surgery. 35(4). 493–497. 7 indexed citations
17.
Takayasu, Susumu & Yukio Miki. (1975). Eosinophilic Pustular Folliculitis. Skin research. 17(3). 223–227. 1 indexed citations
18.
Miki, Yukio. (1968). SOLITARY BASAL CELL NEVUS. Skin research. 10(5). 679–686. 1 indexed citations
19.
Miki, Yukio. (1968). SOLITARY BASAL CELL NEVUS:PREINVASIVE STAGE OF BASAL CELL EPITHELIOMA. 10(5). 679–686. 2 indexed citations
20.
Miki, Yukio. (1968). Basal Cell Epithelioma Among Japanese. Australasian Journal of Dermatology. 9(4). 304–313. 11 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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