S Sone

2.8k total citations
60 papers, 2.0k citations indexed

About

S Sone is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, S Sone has authored 60 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pulmonary and Respiratory Medicine, 20 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Surgery. Recurrent topics in S Sone's work include Lung Cancer Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Medical Imaging Techniques and Applications (8 papers). S Sone is often cited by papers focused on Lung Cancer Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Medical Imaging Techniques and Applications (8 papers). S Sone collaborates with scholars based in Japan and United States. S Sone's co-authors include S Takashima, Masatoshi Hasegawa, Yoshihisa Maruyama, Takayuki Honda, Tomofumi Watanabe, Zhongyi Yang, Satoshi Kawakami, Takeshi Yamanda, Masayuki Haniuda and Ken‐ichiro Kubo and has published in prestigious journals such as Radiology, British Journal of Cancer and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

S Sone

60 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S Sone Japan 20 1.3k 911 314 276 167 60 2.0k
Gregory L. Aughenbaugh United States 22 1.9k 1.4× 978 1.1× 360 1.1× 308 1.1× 301 1.8× 37 2.7k
John R. Muhm United States 20 2.1k 1.6× 1.1k 1.2× 596 1.9× 489 1.8× 162 1.0× 39 2.9k
Keiko Kuriyama Japan 26 2.0k 1.5× 1.0k 1.1× 474 1.5× 236 0.9× 303 1.8× 96 2.9k
Takeshi Yamanda Japan 19 1.6k 1.2× 833 0.9× 215 0.7× 344 1.2× 116 0.7× 52 2.0k
Hajime Nakata Japan 21 1.5k 1.1× 851 0.9× 379 1.2× 192 0.7× 51 0.3× 86 2.1k
Yun‐Chung Cheung Taiwan 26 1.2k 0.9× 849 0.9× 569 1.8× 363 1.3× 68 0.4× 101 2.5k
Fabio Falaschi Italy 26 1.5k 1.2× 750 0.8× 356 1.1× 249 0.9× 157 0.9× 93 2.2k
Hyun Ju Lee South Korea 28 1.6k 1.2× 780 0.9× 298 0.9× 367 1.3× 198 1.2× 83 2.3k
Chin A Yi South Korea 34 2.1k 1.6× 1.5k 1.6× 492 1.6× 334 1.2× 446 2.7× 74 3.3k
Kyung Hee Lee South Korea 24 1.1k 0.9× 1.2k 1.3× 282 0.9× 386 1.4× 114 0.7× 121 2.4k

Countries citing papers authored by S Sone

Since Specialization
Citations

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

Fields of papers citing papers by S Sone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Sone

This figure shows the co-authorship network connecting the top 25 collaborators of S Sone. A scholar is included among the top collaborators of S Sone 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 S Sone. S Sone 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.
Suzuki, Kenji, Feng Li, S Sone, & Kazuteru Doi. (2005). Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network. IEEE Transactions on Medical Imaging. 24(9). 1138–1150. 164 indexed citations
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, Takayuki Honda, Yoshihisa Maruyama, et al.. (2001). Results of three-year mass screening programme for lung cancer using mobile low-dose spiral computed tomography scanner. British Journal of Cancer. 84(1). 25–32. 363 indexed citations
4.
Kawakami, Satoshi, S Sone, S Takashima, et al.. (2001). Atypical adenomatous hyperplasia of the lung: correlation between high-resolution CT findings and histopathologic features. European Radiology. 11(5). 811–814. 44 indexed citations
6.
Sone, S, Lei Feng, Zhi‐gang Yang, et al.. (2000). Rapidly growing small peripheral lung cancers detected by screening CT: correlation between radiological appearance and pathological features.. British Journal of Radiology. 73(873). 930–937. 46 indexed citations
7.
Hasegawa, Masatoshi, S Sone, S Takashima, et al.. (2000). Growth rate of small lung cancers detected on mass CT screening.. British Journal of Radiology. 73(876). 1252–1259. 424 indexed citations
8.
Sone, S, Zhi‐gang Yang, S Takashima, et al.. (2000). Characteristics of small lung cancers invisible on conventional chest radiography and detected by population based screening using spiral CT.. British Journal of Radiology. 73(866). 137–145. 105 indexed citations
9.
Sone, S, Yoshihisa Maruyama, S Takashima, et al.. (2000). Correlation between high-resolution computed tomographic, magnetic resonance and pathological findings in cases with non-cancerous but suspicious lung nodules. European Radiology. 10(11). 1782–1791. 18 indexed citations
10.
Takashima, S, Fumiyoshi Takayama, Satoshi Kawakami, et al.. (2000). Differentiated thyroid carcinomas: Prediction of tumor invasion with MR imaging. Acta Radiologica. 41(4). 377–383. 15 indexed citations
11.
Yang, Zhi‐gang, et al.. (1999). Small peripheral carcinomas of the lung: thin-section CT and pathologic correlation. European Radiology. 9(9). 1819–1825. 32 indexed citations
12.
Kubo, Keitaro, Hiroshi Yamamoto, Keisaku Fujimoto, et al.. (1999). Expiratory and inspiratory chest computed tomography and pulmonary function tests in cigarette smokers. European Respiratory Journal. 13(2). 252–256. 37 indexed citations
13.
Takashima, S, et al.. (1999). Detection of Medullary Thyroid Carcinoma and Regional Lymph Node Metastases by Magnetic Resonance Imaging. Archives of Otolaryngology - Head and Neck Surgery. 125(8). 842–842. 24 indexed citations
14.
Oguchi, Masahiko, et al.. (1998). Mucosa-Adhesive Water-Soluble Polymer Film for Treatment of Acute Radiation-Induced Oral Mucositis. International Journal of Radiation Oncology*Biology*Physics. 40(5). 1033–1037. 38 indexed citations
15.
Kubo, Ken‐ichiro, Yuichiro Yamazaki, Tsutomu Hachiya, et al.. (1998). Mycobacterium avium-intracellulare Pulmonary Infection in Patients Without Known Predisposing Lung Disease. Lung. 176(6). 381–391. 42 indexed citations
16.
Fukasaku, Kazuaki, et al.. (1997). 3D CT Angiography as a Pre-Embolization Study for Embolization of Cerebral Aneurysms. Interventional Neuroradiology. 3(2_suppl). 142–148. 1 indexed citations
17.
Sone, S, T. Kasuga, Fumikazu Sakai, et al.. (1996). Digital tomosynthesis imaging of the lung.. PubMed. 14(2). 53–63. 17 indexed citations
18.
Aoki, Jun, et al.. (1996). Hyaline cartilage: in vivo and in vitro assessment with magnetization transfer imaging.. Radiology. 201(2). 525–530. 60 indexed citations
19.
Karakida, Osamu, et al.. (1996). Epidural dumbbell-shaped chordoma mimicking a neurinoma. Pediatric Radiology. 26(1). 62–64. 17 indexed citations
20.
Sakai, Fumikazu, K Kiyono, S Sone, et al.. (1988). Ultrasonic evaluation of cervical metastatic lymphadenopathy.. Journal of Ultrasound in Medicine. 7(6). 305–310. 101 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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