K. Hanamura

1.1k total citations · 1 hit paper
9 papers, 827 citations indexed

About

K. Hanamura is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, K. Hanamura has authored 9 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Molecular Biology. Recurrent topics in K. Hanamura's work include Lung Cancer Diagnosis and Treatment (6 papers), Medical Imaging Techniques and Applications (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). K. Hanamura is often cited by papers focused on Lung Cancer Diagnosis and Treatment (6 papers), Medical Imaging Techniques and Applications (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). K. Hanamura collaborates with scholars based in Japan. K. Hanamura's co-authors include Shusuke Sone, Zhi‐gang Yang, Shodayu Takashima, Yuichiro Maruyama, Keishi Kubo, Takeshi Yamanda, Feng Li, Minoru Hasegawa, Takayuki Honda and S Sone and has published in prestigious journals such as The Lancet, Lung Cancer and Journal of Telemedicine and Telecare.

In The Last Decade

K. Hanamura

9 papers receiving 792 citations

Hit Papers

Mass screening for lung cancer with mobile spiral compute... 1998 2026 2007 2016 1998 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Hanamura Japan 6 690 401 130 67 61 9 827
Giulia Picozzi Italy 16 975 1.4× 652 1.6× 197 1.5× 78 1.2× 68 1.1× 36 1.2k
Barbara Galen United States 5 661 1.0× 554 1.4× 242 1.9× 60 0.9× 135 2.2× 5 1.0k
Aaron O. Bungum United States 9 540 0.8× 322 0.8× 118 0.9× 50 0.7× 47 0.8× 14 780
Claudia I. Henschke United States 6 518 0.8× 421 1.0× 48 0.4× 40 0.6× 47 0.8× 6 620
Mingzhu Liang China 12 518 0.8× 459 1.1× 76 0.6× 61 0.9× 117 1.9× 31 739
Yubao Guan China 16 459 0.7× 412 1.0× 107 0.8× 43 0.6× 98 1.6× 49 694
Kun Young Lim South Korea 17 632 0.9× 406 1.0× 266 2.0× 113 1.7× 52 0.9× 36 1.1k
Massimo Falchini Italy 17 703 1.0× 469 1.2× 319 2.5× 167 2.5× 55 0.9× 39 1.0k
Shahreen Ahmad United Kingdom 8 302 0.4× 525 1.3× 89 0.7× 46 0.7× 121 2.0× 14 638
Yong Sub Song South Korea 13 295 0.4× 440 1.1× 47 0.4× 56 0.8× 38 0.6× 19 627

Countries citing papers authored by K. Hanamura

Since Specialization
Citations

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

Fields of papers citing papers by K. Hanamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Hanamura

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

All Works

9 of 9 papers shown
2.
Sone, S, et al.. (2001). Telemedicine system using computed tomography van of high-speed telecommunication vehicle. IEEE Transactions on Information Technology in Biomedicine. 5(1). 2–9. 24 indexed citations
3.
Sone, S, S Takashima, K Kiyono, et al.. (2001). EFFECTS OF JPEG AND WAVELET COMPRESSION OF SPIRAL LOW-DOSE CT IMAGES ON DETECTION OF SMALL LUNG CANCERS. Acta Radiologica. 42(2). 156–160. 22 indexed citations
4.
Watanabe, Shigeru, et al.. (2001). Coronary artery calcification detected by a mobile helical CT unit in a mass screening : the frequency and relationship to coronary risk factors and coronary artery disease. 77. 123–131. 2 indexed citations
5.
Sone, S, et al.. (2000). EFFECT OF CT DIGITAL IMAGE COMPRESSION ON DETECTION OF CORONARY ARTERY CALCIFICATION. Acta Radiologica. 41(2). 116–121. 12 indexed citations
6.
Yang, Zhi‐gang, S Sone, S Takashima, et al.. (1999). Detection of small peripheral lung cancer by digital chest radiography. Performance of unprocessed versus unsharp mask-processed images.. PubMed. 40(5). 505–9. 7 indexed citations
7.
Sone, Shusuke, Shodayu Takashima, Feng Li, et al.. (1998). Mass screening for lung cancer with mobile spiral computed tomography scanner. The Lancet. 351(9111). 1242–1245. 718 indexed citations breakdown →
8.
Sone, Shusuke, Shodayu Takashima, Feng Li, et al.. (1998). The mobile hospital—an experimental system for the detection of latent disease by telemedicine. Journal of Telemedicine and Telecare. 4(1_suppl). 112–113. 4 indexed citations
9.
Sone, S, Shota Takashima, K. Hanamura, et al.. (1997). 830 Lung cancer mass screening trial with a traveling spiral computed tomography scanner in a van. Result of initial screening. Lung Cancer. 18. 214–214. 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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