Mitsuko Tsubamoto

1.5k total citations
36 papers, 976 citations indexed

About

Mitsuko Tsubamoto is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Mitsuko Tsubamoto has authored 36 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pulmonary and Respiratory Medicine, 19 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Mitsuko Tsubamoto's work include Lung Cancer Diagnosis and Treatment (16 papers), Medical Imaging Techniques and Applications (11 papers) and Medical Imaging and Pathology Studies (10 papers). Mitsuko Tsubamoto is often cited by papers focused on Lung Cancer Diagnosis and Treatment (16 papers), Medical Imaging Techniques and Applications (11 papers) and Medical Imaging and Pathology Studies (10 papers). Mitsuko Tsubamoto collaborates with scholars based in Japan, Canada and United States. Mitsuko Tsubamoto's co-authors include Noriyuki Tomiyama, Takeshi Johkoh, Osamu Honda, Hironobu Nakamura, Atsuo Inoue, Hiromitsu Sumikawa, Seiki Hamada, Masahiro Yanagawa, Keiko Kuriyama and Akinori Hata and has published in prestigious journals such as Scientific Reports, Radiology and American Journal of Roentgenology.

In The Last Decade

Mitsuko Tsubamoto

32 papers receiving 953 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsuko Tsubamoto Japan 18 581 360 189 171 153 36 976
Jeanne B. Ackman United States 17 232 0.4× 401 1.1× 312 1.7× 131 0.8× 190 1.2× 50 875
Mitsuhiro Koyama Japan 21 648 1.1× 424 1.2× 122 0.6× 142 0.8× 182 1.2× 45 1.2k
Andreas Helck Germany 20 534 0.9× 491 1.4× 72 0.4× 192 1.1× 230 1.5× 55 1.1k
Yon Mi Sung South Korea 18 297 0.5× 288 0.8× 141 0.7× 151 0.9× 308 2.0× 44 902
Ami N. Rubinowitz United States 15 563 1.0× 204 0.6× 39 0.2× 86 0.5× 125 0.8× 42 874
Ali Farooqi United States 10 603 1.0× 501 1.4× 58 0.3× 56 0.3× 103 0.7× 14 914
Ki Yeol Lee South Korea 18 279 0.5× 247 0.7× 45 0.2× 79 0.5× 372 2.4× 62 915
Hiroaki Naito Japan 19 507 0.9× 420 1.2× 57 0.3× 176 1.0× 343 2.2× 72 1.2k
Constance de Margerie‐Mellon France 15 562 1.0× 357 1.0× 47 0.2× 120 0.7× 168 1.1× 53 901
Victorine V. Muse United States 17 399 0.7× 500 1.4× 40 0.2× 55 0.3× 76 0.5× 35 890

Countries citing papers authored by Mitsuko Tsubamoto

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuko Tsubamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuko Tsubamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuko Tsubamoto. A scholar is included among the top collaborators of Mitsuko Tsubamoto 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 Mitsuko Tsubamoto. Mitsuko Tsubamoto 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.
Yanagawa, Masahiro, Mitsuko Tsubamoto, Yuki Suzuki, et al.. (2024). Prediction of solid and micropapillary components in lung invasive adenocarcinoma: radiomics analysis from high-spatial-resolution CT data with 1024 matrix. Japanese Journal of Radiology. 42(6). 590–598. 4 indexed citations
2.
Adachi, Shin‐ichi, Fumiaki Abe, Takuya Tokunaga, et al.. (2023). [A Case of Primary Liver Cancer and Gastric Glomus Tumor Diagnosed Preoperatively and Treated with Liver Segmentectomy and Local Gastrectomy].. PubMed. 50(13). 1432–1434.
3.
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
4.
Miyata, Tomo, Masahiro Yanagawa, Noriko Kikuchi, et al.. (2022). The evaluation of the reduction of radiation dose via deep learning-based reconstruction for cadaveric human lung CT images. Scientific Reports. 12(1). 12422–12422. 4 indexed citations
5.
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
6.
Hata, Akinori, Masahiro Yanagawa, Mitsuko Tsubamoto, et al.. (2021). Detectability of pulmonary ossifications in fibrotic lung on ultra-high-resolution CT using 2048 matrix size and 0.25-mm slice thickness. Scientific Reports. 11(1). 15119–15119. 5 indexed citations
7.
Kikuchi, Noriko, Masahiro Yanagawa, Yuriko Yoshida, et al.. (2020). Spontaneous Regression of Type B3 Thymoma With Mesothelial Cyst. Journal of Thoracic Imaging. 35(6). W123–W126. 1 indexed citations
8.
Yanagawa, Masahiro, Hirohiko Niioka, Masahiko Kusumoto, et al.. (2020). Diagnostic performance for pulmonary adenocarcinoma on CT: comparison of radiologists with and without three-dimensional convolutional neural network. European Radiology. 31(4). 1978–1986. 18 indexed citations
9.
10.
Honda, Osamu, Takeshi Johkoh, Hiromitsu Sumikawa, et al.. (2007). Pulmonary Nodules: 3D Volumetric Measurement with Multidetector CT—Effect of Intravenous Contrast Medium. Radiology. 245(3). 881–887. 29 indexed citations
11.
Hamada, Seiki, Shuji Yamamoto, Azzam Khankan, et al.. (2006). Evaluation of coronary artery bypass grafts using multidetector-row CT with Japanese patients. Radiation Medicine. 24(1). 72–76. 2 indexed citations
12.
Honda, Osamu, Hiromitsu Sumikawa, Takeshi Johkoh, et al.. (2006). Computer-assisted lung nodule volumetry from multi-detector row CT: Influence of image reconstruction parameters. European Journal of Radiology. 62(1). 106–113. 29 indexed citations
13.
Ichikado, Kazuya, Moritaka Suga, Hiroyuki Muranaka, et al.. (2006). Prediction of Prognosis for Acute Respiratory Distress Syndrome with Thin-Section CT: Validation in 44 Cases. Radiology. 238(1). 321–329. 139 indexed citations
14.
Tsubamoto, Mitsuko, Néstor L. Müller, Takeshi Johkoh, et al.. (2005). Pathologic Subgroups of Nonspecific Interstitial Pneumonia. Journal of Computer Assisted Tomography. 29(6). 793–800. 34 indexed citations
15.
Sumikawa, Hiromitsu, Takeshi Johkoh, Noriyuki Tomiyama, et al.. (2005). Pulmonary Alveolar Microlithiasis: CT and pathologic findings in 10 patients. Monaldi Archives for Chest Disease. 63(1). 59–64. 18 indexed citations
16.
Hamada, Seiki, Takashi Ueguchi, Azzam Khankan, et al.. (2005). Aortic compliance in patients with aortic regurgitation: evaluation with magnetic resonance imaging.. PubMed. 23(4). 236–41. 13 indexed citations
17.
Johkoh, Takeshi, Takenori Kozuka, Noriyuki Tomiyama, et al.. (2002). Temporal Subtraction for Detection of Solitary Pulmonary Nodules on Chest Radiographs: Evaluation of a Commercially Available Computer-aided Diagnosis System. Radiology. 223(3). 806–811. 37 indexed citations
18.
Tsubamoto, Mitsuko, Keiko Kuriyama, Shoji Kido, et al.. (2002). Detection of Lung Cancer on Chest Radiographs: Analysis on the Basis of Size and Extent of Ground-Glass Opacity at Thin-Section CT. Radiology. 224(1). 139–144. 41 indexed citations
19.
Kuriyama, Keiko, Mitsuko Tsubamoto, J Arisawa, et al.. (2001). New Classification of Lung Nodules Based on Ground-glass Opacity on High-Resolution Computed Tomography.. Haigan. 41(3). 207–211.
20.

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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