Yoko Tajima

2.1k total citations
22 papers, 1.2k citations indexed

About

Yoko Tajima is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Yoko Tajima has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Physiology and 4 papers in Genetics. Recurrent topics in Yoko Tajima's work include RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Yoko Tajima is often cited by papers focused on RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Yoko Tajima collaborates with scholars based in Japan, United States and Switzerland. Yoko Tajima's co-authors include Keiko Maekawa, Yoshiro Saito, Masaki Ishikawa, Ryo Taguchi, Mayumi Murayama, Hiroki Nakanishi, Yuya Senoo, Robert B. Darnell, John J. Fak and K. Yanagida and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yoko Tajima

22 papers receiving 1.1k citations

Peers

Yoko Tajima

PHYSI

GENET

Kuniko Horie Japan

Richard S. Brush United States

Francesca Guarino Italy

Nino Mzhavia United States

Junko Doi Japan

Clinton A. Taylor United States

Miho Watanabe Japan

Takatoshi Soga Japan

Takeshi Endo Japan

Michael Schrey United Kingdom

Kuniko Horie Japan

Yoko Tajima

743 ×0.9

144 ×0.9

PHYSI

115 ×1.0

GENET

55 ×0.5

57 ×0.5

Citations per year, relative to Yoko Tajima Yoko Tajima (= 1×) peers Kuniko Horie

Countries citing papers authored by Yoko Tajima

Since Specialization

Citations

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

Fields of papers citing papers by Yoko Tajima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Tajima

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

All Works

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20 of 20 papers shown

Tajima, Yoko, Keiichi Ito, Wei Wang, et al.. (2025). A humanized NOVA1 splicing factor alters mouse vocal communications. Nature Communications. 16(1). 1542–1542. 3 indexed citations

Tajima, Yoko, Keiichi Ito, Yuan Yuan, et al.. (2023). NOVA1 acts on Impact to regulate hypothalamic function and translation in inhibitory neurons. Cell Reports. 42(2). 112050–112050. 8 indexed citations

Onoue, Noriyuki, Yoko Tajima, Kyoko Morimoto, et al.. (2019). Reverse genetics-based biochemical studies of the ribosomal exit tunnel constriction region in eukaryotic ribosome stalling: spatial allocation of the regulatory nascent peptide at the constriction. Nucleic Acids Research. 48(4). 1985–1999. 5 indexed citations

Saito, Yuhki, Yuan Yuan, Ilana Zucker-Scharff, et al.. (2019). Differential NOVA2-Mediated Splicing in Excitatory and Inhibitory Neurons Regulates Cortical Development and Cerebellar Function. Neuron. 101(4). 707–720.e5. 49 indexed citations

Zhou, Jian, Christopher Y. Park, Chandra L. Theesfeld, et al.. (2019). Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk. Nature Genetics. 51(6). 973–980. 170 indexed citations

Tajima, Yoko, Keiichi Ito, Ayumi Umino, et al.. (2017). Continuous cell supply from Krt7-expressing hematopoietic stem cells during native hematopoiesis revealed by targeted in vivo gene transfer method. Scientific Reports. 7(1). 40684–40684. 12 indexed citations

Ishida, Reiko, Takaharu Kimura, Maiko Morita, et al.. (2017). An All-Recombinant Protein-Based Culture System Specifically Identifies Hematopoietic Stem Cell Maintenance Factors. Stem Cell Reports. 8(3). 500–508. 30 indexed citations

Okemoto, Kazuo, Keiko Maekawa, Yoko Tajima, Masahiro Tohkin, & Yoshiro Saito. (2016). Cross-Classification of Human Urinary Lipidome by Sex, Age, and Body Mass Index. PLoS ONE. 11(12). e0168188–e0168188. 13 indexed citations

Ishikawa, Masaki, Keiko Maekawa, Kosuke Saito, et al.. (2014). Plasma and Serum Lipidomics of Healthy White Adults Shows Characteristic Profiles by Subjects’ Gender and Age. PLoS ONE. 9(3). e91806–e91806. 155 indexed citations

10.

Ito, Keiichi, Satoshi Yamazaki, Ryō Yamamoto, et al.. (2014). Gene Targeting Study Reveals Unexpected Expression of Brain-expressed X-linked 2 in Endocrine and Tissue Stem/Progenitor Cells in Mice. Journal of Biological Chemistry. 289(43). 29892–29911. 19 indexed citations

11.

Tajima, Yoko, et al.. (2014). Clock gene Bmal1 is dispensable for intrinsic properties of murine hematopoietic stem cells. Journal of Negative Results in BioMedicine. 13(1). 4–4. 8 indexed citations

12.

Ieda, Nahoko, Yoshihisa Uenoyama, Yoko Tajima, et al.. (2014). <i>KISS1</i> Gene Expression in the Developing Brain of Female Pigs in Pre- and Peripubertal Periods. Journal of Reproduction and Development. 60(4). 312–316. 21 indexed citations

13.

Tajima, Yoko, Masaki Ishikawa, Keiko Maekawa, et al.. (2013). Lipidomic analysis of brain tissues and plasma in a mouse model expressing mutated human amyloid precursor protein/tau for Alzheimer’s disease. Lipids in Health and Disease. 12(1). 68–68. 116 indexed citations

14.

Tajima, Yoko, et al.. (2013). Effect of phospholipid composition on discoidal HDL formation. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1828(5). 1340–1346. 13 indexed citations

15.

Ishikawa, Masaki, Yoko Tajima, Mayumi Murayama, et al.. (2013). Plasma and Serum from Nonfasting Men and Women Differ in Their Lipidomic Profiles. Biological and Pharmaceutical Bulletin. 36(4). 682–685. 33 indexed citations

16.

Kimata, Naoki, Kazuhiro Okano, Yoko Tajima, et al.. (2013). Study of Discrepancies Between Recorded and Actual Blood Flow in Hemodialysis Patients. ASAIO Journal. 59(6). 617–621. 1 indexed citations

17.

Maekawa, Keiko, Akiyoshi Hirayama, Yuko Iwata, et al.. (2013). Global metabolomic analysis of heart tissue in a hamster model for dilated cardiomyopathy. Journal of Molecular and Cellular Cardiology. 59. 76–85. 55 indexed citations

18.

Saito, Yoshiro, Kimie Sai, Nahoko Kaniwa, et al.. (2013). Biomarker Exploration and Its Clinical Use. YAKUGAKU ZASSHI. 133(12). 1373–1379. 3 indexed citations

19.

Imai, Hirotaka, Ryo Iwamoto, Toshiyuki Suzuki, et al.. (2009). Depletion of Selenoprotein GPx4 in Spermatocytes Causes Male Infertility in Mice. Journal of Biological Chemistry. 284(47). 32522–32532. 177 indexed citations

20.

Yanagida, K., Kayo Masago, Hiroki Nakanishi, et al.. (2009). Identification and Characterization of a Novel Lysophosphatidic Acid Receptor, p2y5/LPA6. Journal of Biological Chemistry. 284(26). 17731–17741. 199 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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