Ken Okamura

675 total citations
31 papers, 282 citations indexed

About

Ken Okamura is a scholar working on Cell Biology, Immunology and Molecular Biology. According to data from OpenAlex, Ken Okamura has authored 31 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cell Biology, 10 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in Ken Okamura's work include melanin and skin pigmentation (19 papers), Biochemical Analysis and Sensing Techniques (7 papers) and Olfactory and Sensory Function Studies (5 papers). Ken Okamura is often cited by papers focused on melanin and skin pigmentation (19 papers), Biochemical Analysis and Sensing Techniques (7 papers) and Olfactory and Sensory Function Studies (5 papers). Ken Okamura collaborates with scholars based in Japan, United States and Denmark. Ken Okamura's co-authors include Tamio Suzuki, Yuko Abe, Yutaka Hozumi, John E. Harris, Masahiro Hayashi, Katherine A. Fitzgerald, Anastasia Khvorova, Jóhann E. Guðjónsson, Kazumasa Wakamatsu and Masakazu Kawaguchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Investigative Dermatology.

In The Last Decade

Ken Okamura

26 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Okamura Japan 9 133 119 90 48 41 31 282
Yunqing Ren China 12 213 1.6× 104 0.9× 218 2.4× 72 1.5× 102 2.5× 30 442
Rebecca L. Riding United States 6 245 1.8× 79 0.7× 278 3.1× 42 0.9× 86 2.1× 9 421
Karolien Van Den Bossche Belgium 5 206 1.5× 153 1.3× 29 0.3× 66 1.4× 82 2.0× 7 344
Eijiro Akasaka Japan 7 103 0.8× 58 0.5× 31 0.3× 37 0.8× 60 1.5× 24 202
Adelina Spallanzani Italy 8 260 2.0× 163 1.4× 234 2.6× 50 1.0× 112 2.7× 14 513
Maggi Ahmed Refat United States 7 361 2.7× 59 0.5× 338 3.8× 70 1.5× 148 3.6× 11 554
Paulene J. Holland United States 2 175 1.3× 131 1.1× 202 2.2× 80 1.7× 33 0.8× 2 317
MJ Watts United Kingdom 6 194 1.5× 29 0.2× 114 1.3× 67 1.4× 87 2.1× 9 374
Isabella Gallerani Italy 8 241 1.8× 57 0.5× 145 1.6× 48 1.0× 112 2.7× 10 379
L. Nieuweboer‐Krobotová Netherlands 12 375 2.8× 58 0.5× 164 1.8× 81 1.7× 293 7.1× 12 547

Countries citing papers authored by Ken Okamura

Since Specialization
Citations

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

Fields of papers citing papers by Ken Okamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Okamura

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Okamura. A scholar is included among the top collaborators of Ken Okamura 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 Ken Okamura. Ken Okamura 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.
Okamura, Ken, T. Saito, Sakuhei Fujiwara, et al.. (2025). Synonymous but Significant: New Findings of Pathological Variants in Hermansky–Pudlak Syndrome. Pigment Cell & Melanoma Research. 38(2). e13221–e13221.
2.
Okamura, Ken & Tamio Suzuki. (2025). Genetics and epigenetics in vitiligo. Journal of Dermatological Science. 117(3). 45–51. 3 indexed citations
3.
Okamura, Ken, T. Saito, Fumio Takada, et al.. (2025). Deep intronic variant in TYR causes OCA1A in Japanese families through pseudoexon activation. Journal of Dermatological Science. 120(2). 77–79.
4.
Fakih, Hassan H., Qi Tang, Ashley Summers, et al.. (2025). Albumin-binding dendritic siRNA improves delivery and efficacy to solid tumors in a melanoma model. Molecular Therapy — Nucleic Acids. 36(3). 102579–102579.
5.
Okamura, Ken, et al.. (2024). Genetic insights into Tietz albinism‐deafness syndrome: A new dominant‐negative mutation in MITF. Pigment Cell & Melanoma Research. 37(4). 430–437. 1 indexed citations
6.
Tang, Qi, Jacquelyn Sousa, Dimas Echeverria, et al.. (2022). RNAi-based modulation of IFN-γ signaling in skin. Molecular Therapy. 30(8). 2709–2721. 18 indexed citations
7.
Fukuda, Keitaro, Ken Okamura, Rebecca L. Riding, et al.. (2021). AIM2 regulates anti-tumor immunity and is a viable therapeutic target for melanoma. The Journal of Experimental Medicine. 218(9). 57 indexed citations
8.
Abe, Yuko, Yutaka Hozumi, Ken Okamura, & Tamio Suzuki. (2020). Expression of discoidin domain receptor 1 and E‐cadherin in epidermis affects melanocyte behavior in rhododendrol‐induced leukoderma mouse model. The Journal of Dermatology. 47(11). 1330–1334. 5 indexed citations
9.
Saito, T., Ken Okamura, Yoko Funasaka, Yuko Abe, & Tamio Suzuki. (2020). Identification of two novel mutations in a Japanese patient with Hermansky–Pudlak syndrome type 5. The Journal of Dermatology. 47(11). e392–e393. 3 indexed citations
10.
Nakamura, Yoshiyuki, Naoko Okiyama, Yosuke Ishitsuka, et al.. (2019). A toddler case of keratosis follicularis squamosa (Dohi) successfully treated with salicylic acid ointment. European Journal of Dermatology. 29(5). 544–546.
11.
Nishikawa, Takuro, Ken Okamura, Kenji Watanabe, et al.. (2019). Novel AP3B1 compound heterozygous mutations in a Japanese patient with Hermansky–Pudlak syndrome type 2. The Journal of Dermatology. 47(2). 185–189. 9 indexed citations
12.
Hayashi, Masahiro, et al.. (2018). 1251 Janus kinase inhibitor tofacitinib does not facilitate the repigmentation in mice model of rhododendrol-induced leukoderma. Journal of Investigative Dermatology. 138(5). S212–S212. 1 indexed citations
13.
Okamura, Ken, Takashi Uchida, Masahiro Hayashi, et al.. (2018). Neutrophilic dermatosis associated with an NFKB2 mutation. Clinical and Experimental Dermatology. 44(3). 350–352. 4 indexed citations
14.
Okamura, Ken, Masahiro Hayashi, Osamu Nakajima, et al.. (2018). A 4‐bp deletion promoter variant (rs984225803) is associated with mild OCA4 among Japanese patients. Pigment Cell & Melanoma Research. 32(1). 79–84. 4 indexed citations
15.
Okamura, Ken, Takayuki Konno, Yuko Abe, et al.. (2017). A case of primarily facial pyoderma gangrenosum associated with Takayasu arteritis. JAAD Case Reports. 3(2). 124–126. 5 indexed citations
16.
Hayashi, Masahiro, Ken Okamura, Yu Onodera, et al.. (2017). A case of extensive burn without sepsis showing high level of plasma presepsin (sCD14-ST). Burns Open. 1(1). 33–36. 6 indexed citations
17.
Hayashi, Masahiro, Ken Okamura, Masami Suzuki, et al.. (2017). Spectrophotometer is useful for assessing vitiligo and chemical leukoderma severity by quantifying color difference with surrounding normally pigmented skin. Skin Research and Technology. 24(2). 175–179. 8 indexed citations
18.
19.
Funasaka, Yoko, Michiko Ito, Shin‐Ichi Osada, et al.. (2016). Melanotic Malignant Melanoma in Oculocutaneous Albinism Type 4. Acta Dermato Venereologica. 97(2). 287–288. 8 indexed citations
20.
Abe, Yuko, Ken Okamura, Masakazu Kawaguchi, et al.. (2015). Rhododenol-induced leukoderma in a mouse model mimicking Japanese skin. Journal of Dermatological Science. 81(1). 35–43. 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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