Keiko Tokuchi

498 total citations
9 papers, 406 citations indexed

About

Keiko Tokuchi is a scholar working on Dermatology, Molecular Biology and Epidemiology. According to data from OpenAlex, Keiko Tokuchi has authored 9 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Dermatology, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Keiko Tokuchi's work include Bone Tissue Engineering Materials (3 papers), Cancer and Skin Lesions (3 papers) and Nonmelanoma Skin Cancer Studies (3 papers). Keiko Tokuchi is often cited by papers focused on Bone Tissue Engineering Materials (3 papers), Cancer and Skin Lesions (3 papers) and Nonmelanoma Skin Cancer Studies (3 papers). Keiko Tokuchi collaborates with scholars based in Japan. Keiko Tokuchi's co-authors include H. Monma, Yoshihisa Koyama, Kazuo Takakuda, Isamu Yamaguchi, Hironobu Fukuzaki, J. Tanaka, Masayoshi Tanaka, Shinya Kitamura, Hideyuki Ujiie and Teruki Yanagi and has published in prestigious journals such as Scientific Reports, Journal of Biomedical Materials Research and Cancers.

In The Last Decade

Keiko Tokuchi

8 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keiko Tokuchi Japan 6 321 248 52 52 48 9 406
Christiane L. Salgado Portugal 13 371 1.2× 237 1.0× 27 0.5× 96 1.8× 51 1.1× 24 553
Nitya Ganesh India 4 338 1.1× 293 1.2× 23 0.4× 78 1.5× 31 0.6× 5 473
Joaquín Ródenas‐Rochina Spain 11 267 0.8× 199 0.8× 28 0.5× 95 1.8× 24 0.5× 20 400
Hailin Zhu China 14 321 1.0× 263 1.1× 39 0.8× 89 1.7× 33 0.7× 32 571
Arnold W.G. Nijhuis Netherlands 8 261 0.8× 145 0.6× 21 0.4× 51 1.0× 49 1.0× 9 370
Monika Biernat Poland 13 269 0.8× 164 0.7× 40 0.8× 59 1.1× 17 0.4× 34 455
Thomas W. Eyster United States 8 205 0.6× 126 0.5× 25 0.5× 54 1.0× 26 0.5× 8 355
Anxiu Xu China 7 305 1.0× 145 0.6× 41 0.8× 137 2.6× 47 1.0× 9 392
Changxiu Wan China 15 364 1.1× 241 1.0× 33 0.6× 145 2.8× 58 1.2× 29 538
Wei Teng China 10 205 0.6× 123 0.5× 28 0.5× 56 1.1× 22 0.5× 27 364

Countries citing papers authored by Keiko Tokuchi

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Tokuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Tokuchi

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

All Works

9 of 9 papers shown
1.
Tokuchi, Keiko, Teruki Yanagi, Yasuyuki Fujita, et al.. (2024). Morphea-like subcutaneous panniculitis-like T-cell lymphoma. JAAD Case Reports. 46. 27–29. 1 indexed citations
2.
Yanagi, Teruki, Takuya Maeda, Hiroshi Nishihara, et al.. (2023). Eribulin inhibits growth of cutaneous squamous cell carcinoma cell lines and a novel patient-derived xenograft. Scientific Reports. 13(1). 8650–8650. 5 indexed citations
3.
Maeda, Takuya, Teruki Yanagi, Keiko Tokuchi, et al.. (2023). Eribulin for patients with metastatic extramammary Paget disease: Study protocol for a single‐arm phase II trial. Experimental Dermatology. 33(1). e14993–e14993.
4.
Maeda, Takuya, et al.. (2022). Adjuvant nivolumab therapy may not improve disease‐free survival in resected acral lentiginous melanoma patients: A retrospective case series. Dermatologic Therapy. 35(11). e15817–e15817. 4 indexed citations
5.
Tokuchi, Keiko, Takuya Maeda, Shinya Kitamura, Teruki Yanagi, & Hideyuki Ujiie. (2022). HER2-Targeted Antibody–Drug Conjugates Display Potent Antitumor Activities in Preclinical Extramammary Paget’s Disease Models: In Vivo and Immunohistochemical Analyses. Cancers. 14(14). 3519–3519. 6 indexed citations
6.
Tokuchi, Keiko, Shinya Kitamura, Takuya Maeda, et al.. (2021). Loss of FAM83H promotes cell migration and invasion in cutaneous squamous cell carcinoma via impaired keratin distribution. Journal of Dermatological Science. 104(2). 112–121. 7 indexed citations
7.
Yamaguchi, Isamu, Keiko Tokuchi, Hironobu Fukuzaki, et al.. (2001). Preparation and microstructure analysis of chitosan/hydroxyapatite nanocomposites. Journal of Biomedical Materials Research. 55(1). 20–27. 345 indexed citations
8.
Yamaguchi, Isamu, Keiko Tokuchi, Yoshihisa Koyama, et al.. (2001). Preparation and microstructure analysis of chitosan/hydroxyapatite nanocomposites. Journal of Biomedical Materials Research. 55(1). 20–27. 13 indexed citations
9.
Yamaguchi, Isamu, Keiko Tokuchi, Hironobu Fukuzaki, et al.. (2000). Preparation and Mechanical Properties of Chitosan/Hydroxyapatite Nanocomposites. Key engineering materials. 192-195. 673–676. 25 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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