Yuji Kishida

538 total citations
20 papers, 381 citations indexed

About

Yuji Kishida 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, Yuji Kishida has authored 20 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yuji Kishida's work include Medical Imaging Techniques and Applications (11 papers), Atomic and Subatomic Physics Research (7 papers) and Lung Cancer Diagnosis and Treatment (7 papers). Yuji Kishida is often cited by papers focused on Medical Imaging Techniques and Applications (11 papers), Atomic and Subatomic Physics Research (7 papers) and Lung Cancer Diagnosis and Treatment (7 papers). Yuji Kishida collaborates with scholars based in Japan, United States and Türkiye. Yuji Kishida's co-authors include Takeshi Yoshikawa, Yoshiharu Ohno, Shinichiro Seki, Hisanobu Koyama, Masao Yui, Kazuro Sugimura, Mitsue Miyazaki, Daisuke Takenaka, Kota Aoyagi and Yasuko Fujisawa and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Yuji Kishida

19 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuji Kishida Japan 13 311 166 152 57 50 20 381
Astrid Schmähl Germany 11 403 1.3× 286 1.7× 227 1.5× 61 1.1× 32 0.6× 14 608
Hooman Hamedani United States 14 165 0.5× 197 1.2× 244 1.6× 49 0.9× 66 1.3× 54 475
Jered Sieren United States 14 311 1.0× 411 2.5× 108 0.7× 188 3.3× 31 0.6× 29 698
Harrilla Profka United States 13 82 0.3× 179 1.1× 117 0.8× 32 0.6× 60 1.2× 26 367
Kota Aoyagi Japan 12 214 0.7× 159 1.0× 36 0.2× 48 0.8× 9 0.2× 21 288
Agilo Luitger Kern Germany 11 206 0.7× 87 0.5× 277 1.8× 45 0.8× 39 0.8× 35 364
Benjamin Harris Australia 12 208 0.7× 186 1.1× 59 0.4× 70 1.2× 67 1.3× 25 445
HU Kauczor Germany 7 318 1.0× 168 1.0× 284 1.9× 43 0.8× 37 0.7× 7 477
Maho Tsubakimoto Japan 11 151 0.5× 189 1.1× 67 0.4× 41 0.7× 44 0.9× 23 347
William M. Burch Australia 10 144 0.5× 162 1.0× 57 0.4× 28 0.5× 69 1.4× 20 368

Countries citing papers authored by Yuji Kishida

Since Specialization
Citations

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

Fields of papers citing papers by Yuji Kishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuji Kishida

This figure shows the co-authorship network connecting the top 25 collaborators of Yuji Kishida. A scholar is included among the top collaborators of Yuji Kishida 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 Yuji Kishida. Yuji Kishida 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.
Ohno, Yoshiharu, Kota Aoyagi, Shinichiro Seki, et al.. (2020). Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT. Radiology. 296(2). 432–443. 22 indexed citations
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Ohno, Yoshiharu, Yasuko Fujisawa, Kenji Fujii, et al.. (2019). Effects of acquisition method and reconstruction algorithm for CT number measurement on standard-dose CT and reduced-dose CT: a QIBA phantom study. Japanese Journal of Radiology. 37(5). 399–411. 10 indexed citations
4.
Ohno, Yoshiharu, Yasuko Fujisawa, Naoki Sugihara, et al.. (2019). Wash-in/wash-out phase xenon-enhanced area-detector CT (ADCT): utility for regional ventilation, pulmonary functional loss and clinical stage evaluations of smokers. Acta Radiologica. 60(12). 1619–1628. 3 indexed citations
5.
Ohno, Yoshiharu, Hisanobu Koyama, Shinichiro Seki, Yuji Kishida, & Takeshi Yoshikawa. (2018). Radiation dose reduction techniques for chest CT: Principles and clinical results. European Journal of Radiology. 111. 93–103. 38 indexed citations
6.
Kishida, Yuji, et al.. (2018). Update of MR Imaging for Evaluation of Lung Cancer. Radiologic Clinics of North America. 56(3). 437–469. 23 indexed citations
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Wielpütz, Mark O., Ho Yun Lee, Hisanobu Koyama, et al.. (2018). Morphologic Characterization of Pulmonary Nodules With Ultrashort TE MRI at 3T. American Journal of Roentgenology. 210(6). 1216–1225. 51 indexed citations
9.
Ohno, Yoshiharu, Masao Yui, Kota Aoyagi, et al.. (2018). Whole-Body MRI: Comparison of Its Capability for TNM Staging of Malignant Pleural Mesothelioma With That of Coregistered PET/MRI, Integrated FDG PET/CT, and Conventional Imaging. American Journal of Roentgenology. 212(2). 311–319. 15 indexed citations
10.
Kishida, Yuji, Shinichiro Seki, Takeshi Yoshikawa, et al.. (2018). Performance Comparison Between 18F-FDG PET/CT Plus Brain MRI and Conventional Staging Plus Brain MRI in Staging of Small Cell Lung Carcinoma. American Journal of Roentgenology. 211(1). 185–192. 5 indexed citations
11.
Ohno, Yoshiharu, Masao Yui, Yu Chen, et al.. (2018). Gadolinium-Based Blood Volume Mapping From MRI With Ultrashort TE Versus CT and SPECT for Predicting Postoperative Lung Function in Patients With Non–Small Cell Lung Cancer. American Journal of Roentgenology. 212(1). 57–66. 6 indexed citations
12.
Kishida, Yuji, Hisanobu Koyama, Shinichiro Seki, et al.. (2017). Comparison of fat suppression capability for chest MR imaging with Dixon, SPAIR and STIR techniques at 3 Tesla MR system. Magnetic Resonance Imaging. 47. 89–96. 14 indexed citations
13.
Ohno, Yoshiharu, Takeshi Yoshikawa, Yuji Kishida, et al.. (2017). Diagnostic performance of different imaging modalities in the assessment of distant metastasis and local recurrence of tumor in patients with non‐small cell lung cancer. Journal of Magnetic Resonance Imaging. 46(6). 1707–1717. 19 indexed citations
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Ohno, Yoshiharu, Yasuko Fujisawa, Naoki Sugihara, et al.. (2017). Dynamic Contrast-Enhanced Perfusion Area-Detector CT: Preliminary Comparison of Diagnostic Performance for N Stage Assessment With FDG PET/CT in Non–Small Cell Lung Cancer. American Journal of Roentgenology. 209(5). W253–W262. 8 indexed citations
16.
Ohno, Yoshiharu, Takeshi Yoshikawa, Yuji Kishida, Shinichiro Seki, & Nevzat Karabulut. (2017). Unenhanced and Contrast-Enhanced MR Angiography and Perfusion Imaging for Suspected Pulmonary Thromboembolism. American Journal of Roentgenology. 208(3). 517–530. 17 indexed citations
17.
Ohno, Yoshiharu, Yuji Kishida, Shinichiro Seki, et al.. (2017). Amide proton transfer‐weighted imaging to differentiate malignant from benign pulmonary lesions: Comparison with diffusion‐weighted imaging and FDG‐PET/CT. Journal of Magnetic Resonance Imaging. 47(4). 1013–1021. 25 indexed citations
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Kashiwagi, T, Takamichi Murakami, Junko Tamaki, et al.. (1994). Three-Dimensional Display of Liver, Spleen, Hepatoma, and Blood Vessels by MR Imaging and Computer Graphics. Acta Radiologica. 35(1). 88–89.

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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