Mitsumi Ikeda

698 total citations
11 papers, 603 citations indexed

About

Mitsumi Ikeda is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Mitsumi Ikeda has authored 11 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Immunology. Recurrent topics in Mitsumi Ikeda's work include Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers) and Reproductive System and Pregnancy (2 papers). Mitsumi Ikeda is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers) and Reproductive System and Pregnancy (2 papers). Mitsumi Ikeda collaborates with scholars based in Japan and United States. Mitsumi Ikeda's co-authors include M Kurimoto, Keizo Kohno, Takashi Ohtsuki, Jiro Kataoka, Yasuo Suemoto, Iwao Okamoto, M Usui, Tadashi Furusawa, Tomoyuki Tokunaga and Satoshi Akagi and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Mitsumi Ikeda

11 papers receiving 590 citations

Peers

Mitsumi Ikeda
Carla S. R. Lankford United States
Mitsumi Ikeda
Citations per year, relative to Mitsumi Ikeda Mitsumi Ikeda (= 1×) peers Carla S. R. Lankford

Countries citing papers authored by Mitsumi Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Mitsumi Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsumi Ikeda

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

All Works

11 of 11 papers shown
1.
Tatematsu, Ken‐ichiro, Mitsumi Ikeda, Yoshihiro Wakabayashi, et al.. (2021). Silkworm recombinant bovine zona pellucida protein 4 (bZP4) as a potential female immunocontraceptive antigen; impaired sperm-oocyte interaction and ovarian dysfunction. Journal of Reproduction and Development. 67(6). 402–406. 3 indexed citations
2.
Noguchi, Junko, Hiroyuki Kaneko, Mitsumi Ikeda, et al.. (2020). Sperm immunization and rat spermatogenesis: Dysfunctional blood‐testis barrier and perturbed Sertoli cell cytoskeleton. Andrology. 9(2). 744–757. 2 indexed citations
3.
Noguchi, Junko, Mitsumi Ikeda, Kazuhiro Kikuchi, et al.. (2020). Successful activation of rat T lymphocytes by sperm specific antigens <i>in vitro</i>. Journal of Reproduction and Development. 66(6). 599–605. 1 indexed citations
4.
Haraguchi, Seiki, Mitsumi Ikeda, Satoshi Akagi, & Yuji Hirao. (2020). Dynamic Changes in pStat3 Are Involved in Meiotic Spindle Assembly in Mouse Oocytes. International Journal of Molecular Sciences. 21(4). 1220–1220. 7 indexed citations
5.
Ikeda, Mitsumi, Shuichi Matsuyama, Satoshi Akagi, et al.. (2017). Correction of a Disease Mutation using CRISPR/Cas9-assisted Genome Editing in Japanese Black Cattle. Scientific Reports. 7(1). 17827–17827. 33 indexed citations
6.
Furusawa, Tadashi, Koji Kimura, Shuichi Matsuyama, et al.. (2013). Characteristics of Bovine Inner Cell Mass-Derived Cell Lines and Their Fate in Chimeric Conceptuses1. Biology of Reproduction. 89(2). 28–28. 19 indexed citations
7.
Ikeda, Mitsumi, et al.. (2012). B-box and SPRY Domain Containing Protein (BSPRY) is Associated with the Maintenance of Mouse Embryonic Stem Cell Pluripotency and Early Embryonic Development. Journal of Reproduction and Development. 58(6). 691–699. 6 indexed citations
8.
Furusawa, Tadashi, Mitsumi Ikeda, Hirokazu Hikono, et al.. (2006). Anti-bovine CD34 monoclonal antibody reveals polymorphisms within coding region of the CD34 gene. Experimental Hematology. 34(7). 905–913. 8 indexed citations
9.
Furusawa, Tadashi, et al.. (2006). Gene Expression Profiling of Mouse Embryonic Stem Cell Subpopulations1. Biology of Reproduction. 75(4). 555–561. 32 indexed citations
10.
Kohno, Keizo, Jiro Kataoka, Takashi Ohtsuki, et al.. (1997). IFN-gamma-inducing factor (IGIF) is a costimulatory factor on the activation of Th1 but not Th2 cells and exerts its effect independently of IL-12. The Journal of Immunology. 158(4). 1541–1550. 473 indexed citations
11.
Maruyama, Ikuro, Yutaka Maruyama, Toshiharu Nakajima, et al.. (1993). Vesnarinone Inhibits Production of HIV-1 in Cultured Cells. Biochemical and Biophysical Research Communications. 195(3). 1264–1271. 19 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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