Mai Okada

798 total citations
22 papers, 636 citations indexed

About

Mai Okada is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Mai Okada has authored 22 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Biomedical Engineering. Recurrent topics in Mai Okada's work include 3D Printing in Biomedical Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Pluripotent Stem Cells Research (3 papers). Mai Okada is often cited by papers focused on 3D Printing in Biomedical Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Pluripotent Stem Cells Research (3 papers). Mai Okada collaborates with scholars based in Japan, United States and Malaysia. Mai Okada's co-authors include Shuji Tomoda, Michio Iwaoka, Akio Kuroda, Kei Motomura, Takeshi Ikeda, Ryuichi Hirota, Ryuji Kato, Hiroyuki Honda, Takenori Ishida and Kei Kanie and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Mai Okada

21 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mai Okada Japan 13 319 124 99 95 72 22 636
David A. Dunn United States 20 307 1.0× 147 1.2× 86 0.9× 188 2.0× 7 0.1× 46 908
Shaoyong Li China 18 711 2.2× 62 0.5× 32 0.3× 216 2.3× 36 0.5× 51 1.3k
Elisabetta Galbiati Italy 17 336 1.1× 153 1.2× 19 0.2× 114 1.2× 19 0.3× 43 801
Marcin Król Poland 17 456 1.4× 63 0.5× 35 0.4× 117 1.2× 7 0.1× 35 794
Michael J. Reddish United States 13 259 0.8× 64 0.5× 42 0.4× 62 0.7× 6 0.1× 23 571
Ulrich Schneider Germany 14 265 0.8× 98 0.8× 115 1.2× 328 3.5× 10 0.1× 26 1.0k
Philippe Mellet France 15 123 0.4× 38 0.3× 28 0.3× 151 1.6× 10 0.1× 46 556
S. V. Burov Russia 16 373 1.2× 93 0.8× 23 0.2× 85 0.9× 7 0.1× 54 702
Alok Dube India 18 259 0.8× 274 2.2× 32 0.3× 40 0.4× 6 0.1× 50 759
B. P. Nikolaev Russia 12 227 0.7× 271 2.2× 24 0.2× 27 0.3× 52 0.7× 32 609

Countries citing papers authored by Mai Okada

Since Specialization
Citations

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

Fields of papers citing papers by Mai Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Okada

This figure shows the co-authorship network connecting the top 25 collaborators of Mai Okada. A scholar is included among the top collaborators of Mai Okada 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 Mai Okada. Mai Okada 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.
Hashimoto, Ayako, Taiho Kambe, Jun Sato, et al.. (2024). Expression analysis of zinc-metabolizing enzymes in the saliva as a new method of evaluating zinc content in the body: two case reports and a review of the literature. Journal of Medical Case Reports. 18(1). 198–198. 1 indexed citations
2.
Yao, Tatsuma, et al.. (2023). Direct cleavage during the first mitosis is a sign of abnormal fertilization in cattle. Theriogenology. 200. 96–105. 7 indexed citations
3.
Okada, Mai, et al.. (2021). Morphokinetic analysis of pronuclei using time-lapse cinematography in bovine zygotes. Theriogenology. 166. 55–63. 11 indexed citations
4.
Okada, Mai, et al.. (2021). Abnormal cleavage is involved in the self-correction of bovine preimplantation embryos. Biochemical and Biophysical Research Communications. 562. 76–82. 6 indexed citations
5.
Asano, Ryutaro, S. KONNO, Hiromi Ogata, et al.. (2020). Build-up functionalization of anti-EGFR × anti-CD3 bispecific diabodies by integrating high-affinity mutants and functional molecular formats. Scientific Reports. 10(1). 4913–4913. 5 indexed citations
6.
Yoshida, Kei, et al.. (2019). Time-course colony tracking analysis for evaluating induced pluripotent stem cell culture processes. Journal of Bioscience and Bioengineering. 128(2). 209–217. 6 indexed citations
7.
Yoshida, Kei, Megumi Matsumoto, Mai Okada, et al.. (2018). In-process evaluation of culture errors using morphology-based image analysis. Regenerative Therapy. 9. 15–23. 15 indexed citations
8.
Matsumoto, Megumi, Mai Okada, Kei Kanie, et al.. (2017). Visualization of morphological categories of colonies for monitoring of effect on induced pluripotent stem cell culture status. Regenerative Therapy. 6. 41–51. 35 indexed citations
9.
Kato, Ryuji, Megumi Matsumoto, Mai Okada, et al.. (2016). Parametric analysis of colony morphology of non-labelled live human pluripotent stem cells for cell quality control. Scientific Reports. 6(1). 34009–34009. 54 indexed citations
10.
Chiba, Mayumi, Chikako Yokoyama, Mai Okada, & Hisashi Hisatomi. (2014). Mitochondrial DNA reduced by hypoxic conditions in three-dimensional (3D) spheroid cell cultures. Tumor Biology. 35(12). 12689–12693. 5 indexed citations
11.
Takeuchi, Ichiro, Mai Okada, Rumi Sawada, et al.. (2014). Label-Free Morphology-Based Prediction of Multiple Differentiation Potentials of Human Mesenchymal Stem Cells for Early Evaluation of Intact Cells. PLoS ONE. 9(4). e93952–e93952. 46 indexed citations
12.
13.
Asano, Ryutaro, Takashi Kumagai, Keisuke Nagai, et al.. (2013). Domain order of a bispecific diabody dramatically enhances its antitumor activity beyond structural format conversion: the case of the hEx3 diabody. Protein Engineering Design and Selection. 26(5). 359–367. 35 indexed citations
14.
Motomura, Kei, Ryuichi Hirota, Mai Okada, et al.. (2011). Overproduction of YjbB reduces the level of polyphosphate in Escherichia coli : a hypothetical role of YjbB in phosphate export and polyphosphate accumulation. FEMS Microbiology Letters. 320(1). 25–32. 26 indexed citations
15.
Ebisawa, Katsumi, Ryuji Kato, Mai Okada, et al.. (2011). Gingival and dermal fibroblasts: Their similarities and differences revealed from gene expression. Journal of Bioscience and Bioengineering. 111(3). 255–258. 36 indexed citations
16.
Tsutsumi, Chikara, et al.. (2009). Study of impregnation of poly(l-lactide-ran-ε-caprolactone) copolymers with useful compounds in supercritical carbon dioxide. Journal of Materials Science. 44(13). 3533–3541. 14 indexed citations
17.
Ebisawa, Katsumi, Ryuji Kato, Mai Okada, et al.. (2008). Cell therapy for facial anti-aging.. PubMed. 63 Suppl A. 41–41. 5 indexed citations
18.
Iwaoka, Michio, Mai Okada, & Shuji Tomoda. (2002). Solvent effects on the φ–ψ potential surfaces of glycine and alanine dipeptides studied by PCM and I-PCM methods. Journal of Molecular Structure THEOCHEM. 586(1-3). 111–124. 30 indexed citations
19.
Iwaoka, Michio, et al.. (2002). Weak Nonbonded S···X (X = O, N, and S) Interactions in Proteins. Statistical and Theoretical Studies.. Bulletin of the Chemical Society of Japan. 75(7). 1611–1625. 112 indexed citations
20.

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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