Kenji Inoue

1.2k total citations
47 papers, 761 citations indexed

About

Kenji Inoue is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kenji Inoue has authored 47 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Ophthalmology, 16 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kenji Inoue's work include Glaucoma and retinal disorders (30 papers), Ocular Surface and Contact Lens (14 papers) and Retinal Diseases and Treatments (13 papers). Kenji Inoue is often cited by papers focused on Glaucoma and retinal disorders (30 papers), Ocular Surface and Contact Lens (14 papers) and Retinal Diseases and Treatments (13 papers). Kenji Inoue collaborates with scholars based in Japan, United Kingdom and Canada. Kenji Inoue's co-authors include Shiro Amano, Ryo Asaoka, Hiroshi Murata, Junkichi Yamagami, Goji Tomita, Takashi Kanamoto, Masato Matsuura, Yoko Ikeda, Yuri Fujino and Atsuya Miki and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Kenji Inoue

46 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenji Inoue Japan 14 545 482 231 48 48 47 761
Mohammad A. Dabbah United Kingdom 9 626 1.1× 478 1.0× 713 3.1× 27 0.6× 27 0.6× 21 1.1k
Paul Chew Singapore 22 966 1.8× 780 1.6× 172 0.7× 59 1.2× 108 2.3× 42 1.2k
Sarah R. Wellik United States 16 895 1.6× 651 1.4× 198 0.9× 17 0.4× 16 0.3× 34 1.1k
Noga Harizman United States 14 601 1.1× 413 0.9× 47 0.2× 24 0.5× 38 0.8× 30 671
Ce Shi China 15 354 0.6× 286 0.6× 74 0.3× 18 0.4× 64 1.3× 39 545
João Barbosa‐Breda Portugal 17 601 1.1× 508 1.1× 38 0.2× 19 0.4× 52 1.1× 59 728
Poemen P. Chan Hong Kong 17 748 1.4× 655 1.4× 96 0.4× 10 0.2× 72 1.5× 61 905
Michael R. Banitt United States 18 978 1.8× 804 1.7× 137 0.6× 21 0.4× 14 0.3× 46 1.1k
Shunsuke Nakakura Japan 21 1.1k 2.1× 872 1.8× 296 1.3× 50 1.0× 35 0.7× 106 1.3k
Joanne C. Wen United States 22 1.2k 2.1× 842 1.7× 89 0.4× 34 0.7× 106 2.2× 55 1.5k

Countries citing papers authored by Kenji Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Inoue

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Inoue. A scholar is included among the top collaborators of Kenji Inoue 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 Kenji Inoue. Kenji Inoue 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.
2.
Inoue, Kenji, et al.. (2022). Frequency of Use of Fixed-Combination Eye Drops by Patients with Glaucoma at Multiple Private Practices in Japan. SHILAP Revista de lepidopterología. 1 indexed citations
3.
Asano, Shotaro, Ryo Asaoka, Hiroshi Murata, et al.. (2021). Predicting the central 10 degrees visual field in glaucoma by applying a deep learning algorithm to optical coherence tomography images. Scientific Reports. 11(1). 2214–2214. 34 indexed citations
4.
Xu, Linchuan, Ryo Asaoka, Hiroshi Murata, et al.. (2020). Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression. American Journal of Ophthalmology. 218. 304–313. 23 indexed citations
5.
Hashimoto, Yohei, Ryo Asaoka, Hiroki Sugiura, et al.. (2020). Deep learning model to predict visual field in central 10° from optical coherence tomography measurement in glaucoma. British Journal of Ophthalmology. 105(4). 507–513. 41 indexed citations
6.
Inoue, Kenji, et al.. (2020). Non-contact manipulation of spherical micro objects using two facing glass micropipettes. SHILAP Revista de lepidopterología. 86(882). 19–12. 1 indexed citations
7.
Hirasawa, Kazunori, Masato Matsuura, Yuri Fujino, et al.. (2020). Comparing Structure-Function Relationships Based on Drasdo's and Sjöstrand's Retinal Ganglion Cell Displacement Models. Investigative Ophthalmology & Visual Science. 61(4). 10–10. 10 indexed citations
8.
Asaoka, Ryo, Hiroshi Murata, Kazunori Hirasawa, et al.. (2018). Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images. American Journal of Ophthalmology. 198. 136–145. 188 indexed citations
9.
Fujino, Yuri, Hiroshi Murata, Masato Matsuura, et al.. (2018). Mapping the Central 10° Visual Field to the Optic Nerve Head Using the Structure–Function Relationship. Investigative Ophthalmology & Visual Science. 59(7). 2801–2801. 8 indexed citations
10.
11.
Inoue, Kenji, et al.. (2014). Development of haptic devices using flexible sheets for virtual training of abdominal palpation. Advanced Robotics. 28(20). 1331–1341. 5 indexed citations
12.
Aoki, Yasuko, et al.. (2012). Ocular Hypotensive Effect and Safety of Travoprost 0.004% Timolol Maleate 0.5% Fixed Combination, Switched from Travoprost 0.004% Alone for 3 Months. 29(11). 1559–1562. 1 indexed citations
13.
14.
Inoue, Kenji, et al.. (2011). Ocular Hypotensive Effects and Safety over 3 Months of Switching from an Unfixed Combination to Latanoprost 0.005%/Timolol Maleate 0.5% Fixed Combination. Journal of Ocular Pharmacology and Therapeutics. 27(6). 581–587. 17 indexed citations
15.
Inoue, Kenji, et al.. (2011). Ocular hypotensive effect, preservation of visual fields, and safety of adding dorzolamide to prostaglandin therapy for twelve months. Clinical ophthalmology. 5. 393–393. 1 indexed citations
16.
Inoue, Kenji, et al.. (2010). Ocular Hypotensive Effects of Latanoprost, Travoprost and Tafluprost. 27(3). 383–386. 1 indexed citations
17.
Yamamoto, Masato, Kenji Inoue, Yasushi Mae, & Tatsuo Arai. (2004). Development of "Search Balls" : Sensor Units for Searching Inside of Rubbles : The design of impact-resistant ball structure. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2004(0). 5–5. 1 indexed citations
18.
Inoue, Kenji, et al.. (2003). Development of "Search Balls" : Sensor Units for Searching Inside of Rubbles : 1st Report : Fundamental experiments on ball shape. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2003(0). 126–126. 2 indexed citations
19.
Inoue, Kenji. (2001). Long-term Outcome of Systemic Cyclosporine Treatment Following Penetrating Keratoplasty. Japanese Journal of Ophthalmology. 45(4). 378–382. 36 indexed citations
20.
Inoue, Kenji, Jiro Numaga, Yuichi Kaji, et al.. (2000). Bilateral choroidal metastases secondary to uterocervical carcinoma of the squamous cell type. American Journal of Ophthalmology. 130(5). 682–684. 9 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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