Takuma Funakoshi

415 total citations
10 papers, 316 citations indexed

About

Takuma Funakoshi is a scholar working on Oral Surgery, Surgery and Physiology. According to data from OpenAlex, Takuma Funakoshi has authored 10 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oral Surgery, 3 papers in Surgery and 3 papers in Physiology. Recurrent topics in Takuma Funakoshi's work include Dental Radiography and Imaging (5 papers), Salivary Gland Disorders and Functions (3 papers) and Salivary Gland Tumors Diagnosis and Treatment (3 papers). Takuma Funakoshi is often cited by papers focused on Dental Radiography and Imaging (5 papers), Salivary Gland Disorders and Functions (3 papers) and Salivary Gland Tumors Diagnosis and Treatment (3 papers). Takuma Funakoshi collaborates with scholars based in Japan and Norway. Takuma Funakoshi's co-authors include Yoshiko Ariji, Eiichiro Ariji, Yoshitaka Kise, Motoki Fukuda, Akitoshi Katsumata, Hiroshi Fujita, Michihito Nozawa, Taisuke Kawai, Chiaki Kuwada and Chisako Muramatsu and has published in prestigious journals such as Scientific Reports, Dental Traumatology and Dentomaxillofacial Radiology.

In The Last Decade

Takuma Funakoshi

9 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takuma Funakoshi Japan 8 250 111 66 53 40 10 316
Myrthel Vranckx Belgium 12 398 1.6× 99 0.9× 65 1.0× 57 1.1× 36 0.9× 15 438
Ho-Gul Jeong South Korea 10 286 1.1× 121 1.1× 74 1.1× 69 1.3× 26 0.7× 26 382
Han-Gyeol Yeom South Korea 10 270 1.1× 100 0.9× 55 0.8× 33 0.6× 56 1.4× 22 325
Melek Taşsöker Türkiye 14 385 1.5× 53 0.5× 45 0.7× 20 0.4× 28 0.7× 69 527
Betül İlhan Türkiye 9 132 0.5× 40 0.4× 87 1.3× 74 1.4× 35 0.9× 17 330
Se-Ryong Kang South Korea 9 234 0.9× 124 1.1× 79 1.2× 34 0.6× 23 0.6× 19 302
Maxim Gusarev Türkiye 8 354 1.4× 155 1.4× 101 1.5× 54 1.0× 71 1.8× 10 429
Rohan Jagtap United States 9 204 0.8× 63 0.6× 39 0.6× 40 0.8× 31 0.8× 37 304
Eugene Shumilov Türkiye 4 288 1.2× 125 1.1× 66 1.0× 32 0.6× 62 1.6× 4 326
Yasin Yaşa Türkiye 12 348 1.4× 80 0.7× 64 1.0× 37 0.7× 25 0.6× 36 490

Countries citing papers authored by Takuma Funakoshi

Since Specialization
Citations

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

Fields of papers citing papers by Takuma Funakoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuma Funakoshi

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

All Works

10 of 10 papers shown
1.
2.
Kuwada, Chiaki, Yoshiko Ariji, Yoshitaka Kise, et al.. (2022). Deep-learning systems for diagnosing cleft palate on panoramic radiographs in patients with cleft alveolus. Oral Radiology. 39(2). 349–354. 13 indexed citations
3.
Kise, Yoshitaka, Anne Möystad, Tore Bjørnland, et al.. (2021). Effects of 1 year of training on the performance of ultrasonographic image interpretation: A preliminary evaluation using images of Sjögren syndrome patients. Imaging Science in Dentistry. 51(2). 129–129. 2 indexed citations
4.
Ariji, Yoshiko, Motoki Fukuda, Takuma Funakoshi, et al.. (2021). Performance of deep learning technology for evaluation of positioning quality in periapical radiography of the maxillary canine. Oral Radiology. 38(1). 147–154. 13 indexed citations
5.
Kuwada, Chiaki, Yoshiko Ariji, Yoshitaka Kise, et al.. (2021). Detection and classification of unilateral cleft alveolus with and without cleft palate on panoramic radiographs using a deep learning system. Scientific Reports. 11(1). 16044–16044. 17 indexed citations
6.
Fukuda, Motoki, Yoshiko Ariji, Yoshitaka Kise, et al.. (2020). Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographs. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 130(3). 336–343. 66 indexed citations
7.
Funakoshi, Takuma, Kyoko Inamoto, Naoki Shibata, et al.. (2020). Cone-beam computed tomography classification of the mandibular second molar root morphology and its relationship to panoramic radiographic appearance. Oral Radiology. 37(3). 494–501. 7 indexed citations
8.
Kise, Yoshitaka, Mayumi Shimizu, Takeshi Fujii, et al.. (2019). Usefulness of a deep learning system for diagnosing Sjögren’s syndrome using ultrasonography images. Dentomaxillofacial Radiology. 49(3). 20190348–20190348. 34 indexed citations
9.
Ariji, Yoshiko, Taisuke Kawai, Motoki Fukuda, et al.. (2018). Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography. Oral Radiology. 35(3). 301–307. 154 indexed citations
10.
Taniguchi, K., et al.. (1999). The effect of mechanical trauma on the tooth germ of rat molars at various developmental stages: a histopathological study. Dental Traumatology. 15(1). 17–25. 10 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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2026