Hajime Utsuno

566 total citations
22 papers, 417 citations indexed

About

Hajime Utsuno is a scholar working on Archeology, Orthodontics and Oral Surgery. According to data from OpenAlex, Hajime Utsuno has authored 22 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Archeology, 12 papers in Orthodontics and 7 papers in Oral Surgery. Recurrent topics in Hajime Utsuno's work include Forensic Anthropology and Bioarchaeology Studies (16 papers), Orthodontics and Dentofacial Orthopedics (11 papers) and Facial Rejuvenation and Surgery Techniques (6 papers). Hajime Utsuno is often cited by papers focused on Forensic Anthropology and Bioarchaeology Studies (16 papers), Orthodontics and Dentofacial Orthopedics (11 papers) and Facial Rejuvenation and Surgery Techniques (6 papers). Hajime Utsuno collaborates with scholars based in Japan. Hajime Utsuno's co-authors include Katsuhiro Inoue, Toru Kageyama, Keiichi Uchida, Hiroo Miyazawa, Mineo Yoshino, Kazuhiko Kibayashi, Toshio Deguchi, Kiyoshi Minaguchi, Koichi Uemura and Hiroshi Nakamura and has published in prestigious journals such as Applied Sciences, Forensic Science International and Journal of Forensic Sciences.

In The Last Decade

Hajime Utsuno

19 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hajime Utsuno Japan	9	228	227	102	102	85	22	417
Toru Kageyama Japan	11	133 0.6×	279 1.2×	98 1.0×	77 0.8×	119 1.4×	25	459
Luiz Airton Saavedra de Paiva Brazil	10	268 1.2×	90 0.4×	35 0.3×	121 1.2×	87 1.0×	18	350
Jelena Djordjević Serbia	7	42 0.2×	137 0.6×	27 0.3×	82 0.8×	28 0.3×	19	306
William E. Harrell United States	8	44 0.2×	360 1.6×	48 0.5×	66 0.6×	447 5.3×	9	644
Thiago Leite Beaini Brazil	9	181 0.8×	64 0.3×	14 0.1×	40 0.4×	126 1.5×	34	278
Szu‐Ting Chou Taiwan	11	48 0.2×	193 0.9×	19 0.2×	73 0.7×	145 1.7×	32	318
Elisha R. Richardson United States	8	83 0.4×	257 1.1×	36 0.4×	61 0.6×	209 2.5×	13	427
Laure M.L. Lebret United States	7	61 0.3×	336 1.5×	36 0.4×	112 1.1×	206 2.4×	7	488
Andrew M. McCance United Kingdom	12	16 0.1×	373 1.6×	103 1.0×	190 1.9×	172 2.0×	14	512
Marco Antônio Scanavini Brazil	10	28 0.1×	365 1.6×	32 0.3×	79 0.8×	309 3.6×	46	572

Countries citing papers authored by Hajime Utsuno

Since Specialization

Citations

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

Fields of papers citing papers by Hajime Utsuno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajime Utsuno

This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Utsuno. A scholar is included among the top collaborators of Hajime Utsuno 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 Hajime Utsuno. Hajime Utsuno 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

Utsuno, Hajime, N Aoki, Hisako Saitoh, et al.. (2025). Assessing the contribution of orthodontic profiles in predicting facial soft tissue thickness for forensic facial approximation. International Journal of Legal Medicine. 139(6). 2951–2964.

Utsuno, Hajime, et al.. (2023). Estimation of missing mandible from the skull using postmortem CT images. Legal Medicine. 65. 102321–102321.

Ohta, Jun, et al.. (2023). Study on the Mechanism of the Pink Tooth Phenomenon Using Bovine Teeth: A Pilot Study. Diagnostics. 13(16). 2699–2699. 1 indexed citations

Utsuno, Hajime, et al.. (2023). Morphological Observation of the Alar Region between the Piriform Aperture and the Alar Soft Tissue for Facial Approximation (Reconstruction). 1 indexed citations

Saitoh, Hisako, et al.. (2022). Association of Cadaveric Factors with the Degree and Region of Discoloration on Pink Teeth: An Approach to Serial Cases. Applied Sciences. 12(9). 4242–4242. 3 indexed citations

Utsuno, Hajime, Jun Ohta, Kana Unuma, et al.. (2022). Sixty‐eight cases of postmortem pink teeth observed in dental autopsies of unidentified cadavers. Journal of Forensic Sciences. 67(3). 1280–1287. 3 indexed citations

Ono, Sachiko, Yohsuke Makino, Susumu Kobayashi, et al.. (2022). Validity of dental findings for identification by postmortem computed tomography. Forensic Science International. 341. 111507–111507. 1 indexed citations

Utsuno, Hajime, et al.. (2022). Comparison of racemization rates between vital and endodontically treated teeth for age estimation. Legal Medicine. 61. 102189–102189.

Tanaka, Chihiro, et al.. (2020). Facial soft tissue thickness of the Japanese population determined using post mortem computed tomography images. Forensic Imaging. 23. 200423–200423. 7 indexed citations

10.

Ohtani, Susumu, Kanako Noritake, Takeshi Funakoshi, et al.. (2019). Preparation of dentin standard samples for age estimation based on increased aspartic acid racemization rate by heating. Legal Medicine. 38. 25–31. 8 indexed citations

11.

Utsuno, Hajime, et al.. (2018). Establishment of a prediction method for the mid-facial region of unknown human Mongoloid skeletal remains. Forensic Science International. 288. 297–303. 6 indexed citations

12.

Utsuno, Hajime, et al.. (2015). Pilot study to establish a nasal tip prediction method from unknown human skeletal remains for facial reconstruction and skull photo superimposition as applied to a Japanese male populations. Journal of Forensic and Legal Medicine. 38. 75–80. 27 indexed citations

13.

Yamamoto, Akio, et al.. (2011). Root Canal System of the Maxillary Canine. Okajimas Folia Anatomica Japonica. 87(4). 189–193. 1 indexed citations

14.

Utsuno, Hajime, Toru Kageyama, Keiichi Uchida, et al.. (2010). Facial soft tissue thickness in Japanese children. Forensic Science International. 199(1-3). 109.e1–109.e6. 49 indexed citations

15.

Utsuno, Hajime, Toru Kageyama, Keiichi Uchida, et al.. (2009). Pilot study of facial soft tissue thickness differences among three skeletal classes in Japanese females. Forensic Science International. 195(1-3). 165.e1–165.e5. 69 indexed citations

16.

Utsuno, Hajime, et al.. (2008). A Case of a Divided Maxillary Artery in the Infratemporal Fossa. Okajimas Folia Anatomica Japonica. 85(3). 97–101. 10 indexed citations

17.

Utsuno, Hajime, Toru Kageyama, Toshio Deguchi, et al.. (2007). Facial soft tissue thickness in skeletal type I Japanese children. Forensic Science International. 172(2-3). 137–143. 44 indexed citations

18.

Utsuno, Hajime, et al.. (2004). Facial soft tissue thickness in Japanese female children. Forensic Science International. 152(2-3). 101–107. 49 indexed citations

19.

Utsuno, Hajime & Kiyoshi Minaguchi. (2004). INFLUENCE OF TEMPLATE DNA DEGRADATION ON THE GENOTYPING OF SNPs AND STR POLYMORPHISMS FROM FORENSIC MATERIALS BY PCR. The Bulletin of Tokyo Dental College. 45(1). 33–46. 11 indexed citations

20.

Utsuno, Hajime, et al.. (2004). Preliminary study of post mortem identification using lip prints. Forensic Science International. 149(2-3). 129–132. 65 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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