Junko Tokuno

434 total citations
37 papers, 262 citations indexed

About

Junko Tokuno is a scholar working on Surgery, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Junko Tokuno has authored 37 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Junko Tokuno's work include Surgical Simulation and Training (10 papers), Handwritten Text Recognition Techniques (8 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Junko Tokuno is often cited by papers focused on Surgical Simulation and Training (10 papers), Handwritten Text Recognition Techniques (8 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Junko Tokuno collaborates with scholars based in Japan, Canada and United States. Junko Tokuno's co-authors include Toyofumi F. Chen‐Yoshikawa, Hiroshi Date, Tetsuya Matsuda, Megumi Nakao, Chenglong Huang, Gerald M. Fried, Yuichiro Ueda, T. Shoji, Keiji Yamanashi and Shigeki Sagayama and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Junko Tokuno

36 papers receiving 255 citations

Peers

Junko Tokuno

PRM

CVPR

SURGE

RNMI

Milo Hindennach Germany

Shi Sherebrin Canada

Fuk Tang Hong Kong

Keno März Germany

Ruida Cheng United States

Christian P. Mol Netherlands

San-Kan Lee Taiwan

Jason D. Gibbs United States

F.W. Wheeler United States

Anna-Laura Wekerle Germany

Milo Hindennach Germany

Junko Tokuno

89 ×0.9

PRM

162 ×1.9

CVPR

58 ×0.8

SURGE

140 ×2.6

RNMI

63 ×1.6

Citations per year, relative to Junko Tokuno Junko Tokuno (= 1×) peers Milo Hindennach

Countries citing papers authored by Junko Tokuno

Since Specialization

Citations

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

Fields of papers citing papers by Junko Tokuno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Tokuno

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

All Works

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20 of 20 papers shown

Tokuno, Junko, et al.. (2025). Mixed Reality for Remote Procedural Training and Assessment: A Feasibility Study. Journal of surgical education. 82(6). 103504–103504.

Tokuno, Junko, et al.. (2025). Evaluating the role and future direction of the Japanese association for surgical education: a needs assessment survey among participants in the annual meetings. Global Surgical Education - Journal of the Association for Surgical Education. 4(1). 1 indexed citations

Tokuno, Junko, et al.. (2025). Virtual Reality Training Improves Procedural Skills in Mannequin-Based Simulation in Medical Students: A Pilot Randomized Controlled Trial. Surgical Innovation. 32(4). 364–373. 2 indexed citations

Tokuno, Junko, et al.. (2024). Perceptions and reported use of extended reality technology in Royal College-Accredited Canadian Simulation Centres: a national survey of simulation centre directors. SHILAP Revista de lepidopterología. 15(5). 64–74. 2 indexed citations

Uchino, Hayaki, et al.. (2023). Enhanced recovery protocols in trauma and emergency abdominal surgery: a scoping review. European Journal of Trauma and Emergency Surgery. 49(6). 2401–2412. 4 indexed citations

Tokuno, Junko & Gerald M. Fried. (2022). Digital Education in General Thoracic Surgery: A Narrative Review. The Annals of Thoracic Surgery. 115(3). 787–794. 1 indexed citations

Tokuno, Junko, Tamara E. Carver, & Gerald M. Fried. (2022). Measurement and Management of Cognitive Load in Surgical Education: A Narrative Review. Journal of surgical education. 80(2). 208–215. 13 indexed citations

Tokuno, Junko, Toyofumi F. Chen‐Yoshikawa, Daisuke Nakajima, et al.. (2021). Improved visualization of virtual-assisted lung mapping by indocyanine green. JTCVS Techniques. 10. 542–549. 11 indexed citations

Nakao, Megumi, et al.. (2021). Deformation analysis of surface and bronchial structures in intraoperative pneumothorax using deformable mesh registration. Medical Image Analysis. 73. 102181–102181. 8 indexed citations

10.

Ikeda, Masaki, Toru Oga, Toyofumi F. Chen‐Yoshikawa, et al.. (2021). Patient-reported dyspnea and health predict waitlist mortality in patients waiting for lung transplantation in Japan. Respiratory Research. 22(1). 116–116. 2 indexed citations

11.

Tokuno, Junko, Toru Oga, Toyofumi F. Chen‐Yoshikawa, et al.. (2020). Sleep quality and its association with health-related quality of life of patients on lung transplantation waitlist in Japan. Sleep And Breathing. 25(1). 219–225. 3 indexed citations

12.

Nakao, Megumi, Junko Tokuno, Toyofumi F. Chen‐Yoshikawa, Hiroshi Date, & Tetsuya Matsuda. (2019). Surface deformation analysis of collapsed lungs using model-based shape matching. International Journal of Computer Assisted Radiology and Surgery. 14(10). 1763–1774. 21 indexed citations

13.

Saito, Masao, Toyofumi F. Chen‐Yoshikawa, Yuji Nakamoto, et al.. (2018). Unilateral Chronic Lung Allograft Dysfunction Assessed by Biphasic Computed Tomographic Volumetry in Bilateral Living-donor Lobar Lung Transplantation. Transplantation Direct. 4(11). e398–e398. 14 indexed citations

14.

Tokuno, Junko, Tsuyoshi Shoji, Ryota Sumitomo, et al.. (2017). Preoperative detection of pleural adhesions by respiratory dynamic computed tomography. World Journal of Surgical Oncology. 15(1). 212–212. 11 indexed citations

15.

Kumagai, Shogo, Satoshi Marumo, Keiji Yamanashi, et al.. (2014). Prognostic significance of combined pulmonary fibrosis and emphysema in patients with resected non-small-cell lung cancer: a retrospective cohort study. European Journal of Cardio-Thoracic Surgery. 46(6). e113–e119. 29 indexed citations

16.

Tokuno, Junko, Keiji Yamanashi, Yuichiro Ueda, et al.. (2014). A case of a resected thymoma in the middle mediastinum. Journal of Surgical Case Reports. 2014(8). rju077–rju077. 4 indexed citations

17.

Tokuno, Junko, et al.. (2013). An azygos vein aneurysm resected by video-assisted thoracic surgery after preoperative evaluation of multidetector computed tomography. Interactive Cardiovascular and Thoracic Surgery. 18(1). 135–136. 10 indexed citations

18.

Zhu, Bilan, et al.. (2006). A Compact On-line and Off-line Combined Recognizer. 16 indexed citations

19.

Nakagawa, Masaki, et al.. (2006). Damaged Character Pattern Recognition on Wooden Tablets Excavated from The Heijyo Palace Site. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

20.

Tokuno, Junko, et al.. (2005). Online Handwriting Recognition Selecting Hierarchical Spatial Relationship of Subcharacters. 105(302). 95–100. 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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