Tomoya S. Kitajima

4.9k total citations
51 papers, 3.6k citations indexed

About

Tomoya S. Kitajima is a scholar working on Molecular Biology, Cell Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tomoya S. Kitajima has authored 51 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 32 papers in Cell Biology and 24 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tomoya S. Kitajima's work include Microtubule and mitosis dynamics (32 papers), Reproductive Biology and Fertility (24 papers) and Genomics and Chromatin Dynamics (17 papers). Tomoya S. Kitajima is often cited by papers focused on Microtubule and mitosis dynamics (32 papers), Reproductive Biology and Fertility (24 papers) and Genomics and Chromatin Dynamics (17 papers). Tomoya S. Kitajima collaborates with scholars based in Japan, United States and Germany. Tomoya S. Kitajima's co-authors include Yoshinori Watanabe, Shigehiro A. Kawashima, Miho Ohsugi, Shihori Yokobayashi, Jan Ellenberg, Kei‐ichiro Ishiguro, Masayuki Yamamoto, Takeshi Sakuno, Silke Hauf and Shun‐ichiro Iemura and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Tomoya S. Kitajima

48 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoya S. Kitajima Japan 24 3.0k 2.0k 1.1k 705 310 51 3.6k
Kei‐ichiro Ishiguro Japan 22 2.8k 0.9× 1.1k 0.5× 629 0.6× 334 0.5× 120 0.4× 62 3.2k
Andrew D. McAinsh United Kingdom 36 2.8k 0.9× 2.4k 1.2× 935 0.9× 122 0.2× 70 0.2× 67 3.4k
Kim S. McKim United States 37 3.4k 1.1× 1.4k 0.7× 1.3k 1.3× 282 0.4× 88 0.3× 78 3.9k
Francis J. McNally United States 30 2.9k 1.0× 2.6k 1.3× 503 0.5× 477 0.7× 32 0.1× 58 3.9k
Yuki Katou Japan 42 5.7k 1.9× 1.4k 0.7× 1.1k 1.0× 151 0.2× 111 0.4× 62 6.1k
Maria‐Elena Torres‐Padilla Germany 34 4.2k 1.4× 159 0.1× 815 0.8× 555 0.8× 255 0.8× 79 4.5k
Manfred Alsheimer Germany 28 2.0k 0.7× 431 0.2× 319 0.3× 312 0.4× 75 0.2× 54 2.4k
Ewelina Bolcun‐Filas United States 17 1.8k 0.6× 287 0.1× 427 0.4× 465 0.7× 146 0.5× 23 2.1k
Rafal Ciosk Switzerland 25 3.8k 1.3× 1.5k 0.7× 858 0.8× 194 0.3× 63 0.2× 38 4.2k
Julie C. Canman United States 29 2.6k 0.9× 2.4k 1.2× 543 0.5× 195 0.3× 25 0.1× 55 3.5k

Countries citing papers authored by Tomoya S. Kitajima

Since Specialization
Citations

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

Fields of papers citing papers by Tomoya S. Kitajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomoya S. Kitajima. 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 Tomoya S. Kitajima. The network helps show where Tomoya S. Kitajima may publish in the future.

Co-authorship network of co-authors of Tomoya S. Kitajima

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoya S. Kitajima. A scholar is included among the top collaborators of Tomoya S. Kitajima 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 Tomoya S. Kitajima. Tomoya S. Kitajima 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.
Takase, Hinako M., et al.. (2024). Transcriptomic signatures of WNT-driven pathways and granulosa cell-oocyte interactions during primordial follicle activation. PLoS ONE. 19(10). e0311978–e0311978. 4 indexed citations
2.
Takahashi, Saori, Hirohisa Kyogoku, Hisashi Miura, et al.. (2024). Embryonic genome instability upon DNA replication timing program emergence. Nature. 633(8030). 686–694. 17 indexed citations
3.
Kitajima, Tomoya S., et al.. (2024). Artificial kinetochore beads establish a biorientation-like state in the spindle. Science. 385(6715). 1366–1375. 5 indexed citations
4.
5.
Hamazaki, Nobuhiko, Norio Hamada, Go Nagamatsu, et al.. (2023). Generation of functional oocytes from male mice in vitro. Nature. 615(7954). 900–906. 40 indexed citations
6.
Ozonov, Evgeniy A., Yumiko Kawamura, Charles-Étienne Dumeau, et al.. (2023). Epigenetic regulation limits competence of pluripotent stem cell‐derived oocytes. The EMBO Journal. 42(23). e113955–e113955. 4 indexed citations
7.
Ogonuki, Narumi, Hirohisa Kyogoku, Toshiaki Hino, et al.. (2022). Birth of mice from meiotically arrested spermatocytes following biparental meiosis in halved oocytes. EMBO Reports. 23(7). e54992–e54992. 3 indexed citations
8.
Hamazaki, Nobuhiko, Hirohisa Kyogoku, Hiromitsu Araki, et al.. (2020). Reconstitution of the oocyte transcriptional network with transcription factors. Nature. 589(7841). 264–269. 94 indexed citations
9.
Yoshida, Shuhei, et al.. (2020). Cdk1 negatively regulates the spindle localization of Prc1 in mouse oocytes. Genes to Cells. 25(10). 685–694. 2 indexed citations
10.
Kyogoku, Hirohisa, Shuhei Yoshida, & Tomoya S. Kitajima. (2018). Cytoplasmic removal, enucleation, and cell fusion of mouse oocytes. Methods in cell biology. 144. 459–474. 5 indexed citations
11.
Kyogoku, Hirohisa, Teruhiko Wakayama, Tomoya S. Kitajima, & Takashi Miyano. (2018). Single nucleolus precursor body formation in the pronucleus of mouse zygotes and SCNT embryos. PLoS ONE. 13(8). e0202663–e0202663. 10 indexed citations
12.
Kyogoku, Hirohisa & Tomoya S. Kitajima. (2017). Large Cytoplasm Is Linked to the Error-Prone Nature of Oocytes. Developmental Cell. 41(3). 287–298.e4. 76 indexed citations
13.
Isokane, Mayumi, Thomas Walter, Robert Mahen, et al.. (2016). ARHGEF17 is an essential spindle assembly checkpoint factor that targets Mps1 to kinetochores. The Journal of Cell Biology. 212(6). 647–659. 17 indexed citations
14.
Kim, Jihye, Kei‐ichiro Ishiguro, Aya Nambu, et al.. (2015). Meikin Is a Conserved Regulator of Meiosis I–Specific Kinetochore Function. Obstetrical & Gynecological Survey. 70(5). 326–327. 1 indexed citations
15.
Sakakibara, Yogo, Shu Hashimoto, Yoshiharu Nakaoka, et al.. (2015). Bivalent separation into univalents precedes age-related meiosis I errors in oocytes. Nature Communications. 6(1). 7550–7550. 106 indexed citations
16.
Kim, Jihye, Kei‐ichiro Ishiguro, Aya Nambu, et al.. (2014). Meikin is a conserved regulator of meiosis-I-specific kinetochore function. Nature. 517(7535). 466–471. 126 indexed citations
17.
Kawashima, Shigehiro A., Tatsuya Tsukahara, Maria Langegger, et al.. (2007). Shugoshin enables tension-generating attachment of kinetochores by loading Aurora to centromeres. Genes & Development. 21(4). 420–435. 164 indexed citations
18.
Lee, Jibak, Tomoya S. Kitajima, Yuji Tanno, et al.. (2007). Unified mode of centromeric protection by shugoshin in mammalian oocytes and somatic cells. Nature Cell Biology. 10(1). 42–52. 202 indexed citations
19.
Kitajima, Tomoya S., Silke Hauf, Miho Ohsugi, Tadashi Yamamoto, & Yoshinori Watanabe. (2005). Human Bub1 Defines the Persistent Cohesion Site along the Mitotic Chromosome by Affecting Shugoshin Localization. Current Biology. 15(4). 353–359. 206 indexed citations
20.
Watanabe, Yoshinori & Tomoya S. Kitajima. (2005). Shugoshin protects cohesin complexes at centromeres. Philosophical Transactions of the Royal Society B Biological Sciences. 360(1455). 515–521. 62 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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