Mika Yamamoto

2.2k total citations
67 papers, 1.6k citations indexed

About

Mika Yamamoto is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Mika Yamamoto has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Epidemiology. Recurrent topics in Mika Yamamoto's work include Temporomandibular Joint Disorders (7 papers), Liver Disease Diagnosis and Treatment (6 papers) and Carcinogens and Genotoxicity Assessment (5 papers). Mika Yamamoto is often cited by papers focused on Temporomandibular Joint Disorders (7 papers), Liver Disease Diagnosis and Treatment (6 papers) and Carcinogens and Genotoxicity Assessment (5 papers). Mika Yamamoto collaborates with scholars based in Japan, United States and Thailand. Mika Yamamoto's co-authors include Tsukasa Sano, Tomohiro Okano, Kazuya Tanaka, Yoshio Takahashi, Yuhei Yamamoto, Ikuro Maruyama, Takeshi Wada, Natsuhisa Oka, Masahiko Kaito and Yukihiko Adachi and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Mika Yamamoto

66 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mika Yamamoto Japan 21 549 255 196 127 127 67 1.6k
Wen‐Chi Chen Taiwan 27 727 1.3× 360 1.4× 141 0.7× 269 2.1× 270 2.1× 85 2.2k
Ping Luo China 27 845 1.5× 93 0.4× 185 0.9× 113 0.9× 37 0.3× 111 2.1k
Anja Verhulst Belgium 30 823 1.5× 101 0.4× 119 0.6× 311 2.4× 32 0.3× 77 2.7k
Takahiro Kobayashi Japan 17 262 0.5× 129 0.5× 134 0.7× 96 0.8× 84 0.7× 135 1.3k
Yu Sasaki Japan 19 409 0.7× 188 0.7× 172 0.9× 245 1.9× 63 0.5× 128 1.7k
Tae‐Hwan Kim South Korea 21 341 0.6× 189 0.7× 62 0.3× 244 1.9× 41 0.3× 146 1.6k
Christian Conradt Germany 28 717 1.3× 429 1.7× 342 1.7× 775 6.1× 100 0.8× 70 3.0k
P. Levillain France 25 478 0.9× 139 0.5× 106 0.5× 305 2.4× 38 0.3× 111 1.9k
Shan Mou China 31 1.2k 2.1× 298 1.2× 309 1.6× 115 0.9× 65 0.5× 108 3.1k
Jerry M. Bergstein United States 24 283 0.5× 81 0.3× 263 1.3× 70 0.6× 32 0.3× 64 1.8k

Countries citing papers authored by Mika Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Mika Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Yamamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Yamamoto. A scholar is included among the top collaborators of Mika Yamamoto 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 Mika Yamamoto. Mika Yamamoto 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.
Bando, Kiyoko, Shinji Kusakawa, Hideki Adachi, et al.. (2024). Protocol improvement and multisite validation of a digital soft agar colony formation assay for tumorigenic transformed cells intermingled in cell therapy products. Cytotherapy. 26(7). 769–777. 4 indexed citations
2.
3.
Hakura, Atsushi, Takumi Awogi, Mika Yamamoto, et al.. (2021). Bacterial mutagenicity test data: collection by the task force of the Japan pharmaceutical manufacturers association. Genes and Environment. 43(1). 41–41. 3 indexed citations
4.
Yamamoto, Mika, Yoichiro Harada, Takehiro Suzuki, et al.. (2019). Application of high-mannose-type glycan-specific lectin from Oscillatoria Agardhii for affinity isolation of tumor-derived extracellular vesicles. Analytical Biochemistry. 580. 21–29. 22 indexed citations
5.
Harada, Yoichiro, Takehiro Suzuki, Tomoko Fukushige, et al.. (2019). Generation of the heterogeneity of extracellular vesicles by membrane organization and sorting machineries. Biochimica et Biophysica Acta (BBA) - General Subjects. 1863(4). 681–691. 23 indexed citations
6.
Yamamoto, Mika & Akihiro Wakata. (2016). Evaluation of in vivo gene mutation with etoposide using Pig-a and PIGRET assays. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 811. 29–34. 4 indexed citations
7.
Shimada, Keisuke, Mika Yamamoto, Miyuki Takashima, et al.. (2014). Repeated-dose liver micronucleus assay of mitomycin C in young adult rats. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 780-781. 85–89. 9 indexed citations
8.
Tanaka, Tsuyoshi, Hiroyuki Goto, Rika Araki, et al.. (2013). Efficacy and safety of sitagliptin in Japanese patients with type 2 diabetes switched from glinides. Journal of Diabetes Investigation. 5(2). 199–205. 2 indexed citations
9.
Yamamoto, Mika, Naoki Shitsukawa, Maki Yamada, et al.. (2012). Identification of a novel homolog for a calmodulin-binding protein that is upregulated in alloplasmic wheat showing pistillody. Planta. 237(4). 1001–1013. 10 indexed citations
10.
Ichikawa, Natsuko, et al.. (2012). DoBISCUIT: a database of secondary metabolite biosynthetic gene clusters. Nucleic Acids Research. 41(D1). D408–D414. 75 indexed citations
11.
Yamamoto, Mika, Motoh Iwasa, Kazuko Iwata, et al.. (2006). Restriction of dietary calories, fat and iron improves non‐alcoholic fatty liver disease. Journal of Gastroenterology and Hepatology. 22(4). 498–503. 62 indexed citations
12.
Wakoh, Mamoru, et al.. (2006). Digital Subtraction Technique for Evaluation of Peri-Implant Bone Change in Digital Dental Imaging. The Bulletin of Tokyo Dental College. 47(2). 57–64. 15 indexed citations
13.
Sonoda, Shozo, et al.. (2005). Ultrasound–Mediated Gene Transfer Into Rat Retina Using Micro–Bubbles. Investigative Ophthalmology & Visual Science. 46(13). 5194–5194. 2 indexed citations
14.
Iwasa, Motoh, Kaname Matsumura, Mika Yamamoto, et al.. (2005). Evaluation of Cingulate Gyrus Blood Flow in Patients With Liver Cirrhosis. Metabolic Brain Disease. 20(1). 7–17. 14 indexed citations
15.
Sano, Tsukasa, Mika Yamamoto, & Tomohiro Okano. (2003). Temporomandibular joint: MR imaging. Neuroimaging Clinics of North America. 13(3). 583–595. 18 indexed citations
16.
Iwasa, Motoh, Kaname Matsumura, Mika Yamamoto, et al.. (2003). Improvement of regional cerebral blood flow after treatment with branched-chain amino acid solutions in patients with cirrhosis. European Journal of Gastroenterology & Hepatology. 15(7). 733–737. 21 indexed citations
17.
Ogawa, Aiko, Hiroshi Morita, Satoshi Nagase, et al.. (2002). The Ventricular Arrhythmia induced by Pilsicainide in Patients with the Brugada Syndrome. Japanese Circulation Journal-english Edition. 66. 298.
18.
19.
Akahori, Fumiaki, et al.. (1987). Quantifiable morphologic evaluation of paraquat pulmonary toxicity in rats.. PubMed. 29(1). 1–7. 5 indexed citations
20.
YAMAMOTO, H., et al.. (1973). Novel quinazoline derivatives. II. A new anti-inflammatory agent, SL-512.. PubMed. 23(9). 1266–71. 1 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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