Masako Ueyama

720 total citations
19 papers, 493 citations indexed

About

Masako Ueyama is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Masako Ueyama has authored 19 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Infectious Diseases. Recurrent topics in Masako Ueyama's work include Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Respiratory Support and Mechanisms (6 papers) and Pleural and Pulmonary Diseases (4 papers). Masako Ueyama is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Respiratory Support and Mechanisms (6 papers) and Pleural and Pulmonary Diseases (4 papers). Masako Ueyama collaborates with scholars based in Japan and United States. Masako Ueyama's co-authors include Shoji Kudoh, Hiroto Hatabu, Yoshitake Yamada, Masahiro Jinzaki, Mizuki Nishino, Tetsuro Araki, Takehiko Abe, Takayuki Abe, Atsuko Kurosaki and Tomoyuki Hida and has published in prestigious journals such as Medicine, Antioxidants and British Journal of Radiology.

In The Last Decade

Masako Ueyama

19 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masako Ueyama Japan 11 214 140 109 90 79 19 493
Míriam Menna Barreto Brazil 12 231 1.1× 124 0.9× 112 1.0× 11 0.1× 58 0.7× 47 413
Samy Lachkar France 12 424 2.0× 57 0.4× 49 0.4× 81 0.9× 55 0.7× 50 573
Alban Lovis Switzerland 14 348 1.6× 42 0.3× 35 0.3× 17 0.2× 89 1.1× 62 511
Jennifer Poelmans Belgium 10 127 0.6× 107 0.8× 106 1.0× 62 0.7× 45 0.6× 16 314
Tim Rosenow Australia 15 767 3.6× 121 0.9× 44 0.4× 15 0.2× 23 0.3× 32 847
Ping-Hong Lai Taiwan 12 172 0.8× 101 0.7× 32 0.3× 23 0.3× 164 2.1× 14 557
Eric Bensadoun United States 11 174 0.8× 172 1.2× 134 1.2× 12 0.1× 37 0.5× 21 504
Kyung-Hyun Do South Korea 3 133 0.6× 44 0.3× 77 0.7× 19 0.2× 126 1.6× 5 300
Michael Meilinger Austria 8 77 0.4× 88 0.6× 82 0.8× 34 0.4× 18 0.2× 15 223
Márcio Valente Yamada Sawamura Brazil 10 177 0.8× 44 0.3× 103 0.9× 36 0.4× 101 1.3× 47 382

Countries citing papers authored by Masako Ueyama

Since Specialization
Citations

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

Fields of papers citing papers by Masako Ueyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Ueyama

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

All Works

19 of 19 papers shown
1.
Kubo, Takeshi, Takuya Hino, Akinori Hata, et al.. (2024). Assessment of pulmonary function in COPD patients using dynamic digital radiography: A novel approach utilizing lung signal intensity changes during forced breathing. European Journal of Radiology Open. 13. 100579–100579. 3 indexed citations
2.
Hino, Takuya, Akinori Hata, Tomoyuki Hida, et al.. (2022). Vector-field dynamic x-ray (VF-DXR) using optical flow method in patients with chronic obstructive pulmonary disease. European Radiology Experimental. 6(1). 4–4. 3 indexed citations
3.
Hino, Takuya, Akinori Hata, Tomoyuki Hida, et al.. (2022). Projected lung area using dynamic X-ray (DXR) with a flat-panel detector system and automated tracking in patients with chronic obstructive pulmonary disease (COPD). European Journal of Radiology. 157. 110546–110546. 2 indexed citations
4.
Koike, Shin, Haruka Sudo, Masako Ueyama, et al.. (2022). Hyperoxidized Peroxiredoxin 2 Is a Possible Biomarker for the Diagnosis of Obstructive Sleep Apnea. Antioxidants. 11(12). 2486–2486. 6 indexed citations
5.
Hino, Takuya, Akinori Hata, Masako Ueyama, et al.. (2021). Vector-Field dynamic X-ray (VF-DXR) using Optical Flow Method. British Journal of Radiology. 95(1132). 20201210–20201210. 3 indexed citations
6.
Hino, Takuya, Akinori Hata, Tomoyuki Hida, et al.. (2020). Projected lung areas using dynamic X-ray (DXR). European Journal of Radiology Open. 7. 100263–100263. 23 indexed citations
7.
Ueyama, Masako, et al.. (2020). A case of allergic fungal rhinosinusitis caused by Schizophyllum commune identified in both patient's nasal sputum and veranda's soil samples. Journal of Infection and Chemotherapy. 27(5). 759–765. 1 indexed citations
8.
Hata, Akinori, Yoshitake Yamada, Rie Tanaka, et al.. (2020). Dynamic Chest X-Ray Using a Flat-Panel Detector System: Technique and Applications. Korean Journal of Radiology. 22(4). 634–634. 27 indexed citations
9.
Hida, Tomoyuki, Yoshitake Yamada, Masako Ueyama, et al.. (2019). Decreased and slower diaphragmatic motion during forced breathing in severe COPD patients: Time-resolved quantitative analysis using dynamic chest radiography with a flat panel detector system. European Journal of Radiology. 112. 28–36. 41 indexed citations
10.
Hida, Tomoyuki, Yoshitake Yamada, Masako Ueyama, et al.. (2019). Time-resolved quantitative evaluation of diaphragmatic motion during forced breathing in a health screening cohort in a standing position: Dynamic chest phrenicography. European Journal of Radiology. 113. 59–65. 29 indexed citations
11.
Ueyama, Masako, Hiroyuki Kokuto, Hitoshi Sugihara, et al.. (2018). Investigation of Obstructive Sleep Apnea Using Portable Monitors and Health Check Data in Japanese Drivers. Journal of Atherosclerosis and Thrombosis. 25(11). 1118–1127. 4 indexed citations
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13.
Ueyama, Masako, Takanori Asakura, Kozo Morimoto, et al.. (2016). Pneumothorax associated with nontuberculous mycobacteria. Medicine. 95(29). e4246–e4246. 19 indexed citations
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Ando, Katsutoshi, Masatoshi Kurihara, Hideyuki Kataoka, et al.. (2013). The efficacy and safety of low-dose sirolimus for treatment of lymphangioleiomyomatosis. Respiratory Investigation. 51(3). 175–183. 70 indexed citations
17.
Kuse, Naoyuki, Kozo Yoshimori, Masako Ueyama, et al.. (2012). Safety of Bevacizumab-containing chemotherapy in Non-small-cell Lung Cancer Patients with Brain metastases. Annals of Cancer Research and Therapy. 20(2). 47–51. 3 indexed citations
18.
Mitarai, Satoshi, Emiko Toyota, Takashi Yoshiyama, et al.. (2011). Evaluation of a simple loop-mediated isothermal amplification test kit for the diagnosis of tuberculosis. The International Journal of Tuberculosis and Lung Disease. 15(9). 1211–1217. 101 indexed citations
19.
Okumura, Masao, Kazuro Iwai, Hideo Ogata, et al.. (2008). Clinical Factors on Cavitary and Nodular Bronchiectatic Types in Pulmonary Mycobacterium avium Complex Disease. Internal Medicine. 47(16). 1465–1472. 53 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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