Kotaro Saga

1.1k total citations
25 papers, 864 citations indexed

About

Kotaro Saga is a scholar working on Molecular Biology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Kotaro Saga has authored 25 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Genetics and 7 papers in Animal Science and Zoology. Recurrent topics in Kotaro Saga's work include Virus-based gene therapy research (10 papers), Animal Virus Infections Studies (7 papers) and CAR-T cell therapy research (4 papers). Kotaro Saga is often cited by papers focused on Virus-based gene therapy research (10 papers), Animal Virus Infections Studies (7 papers) and CAR-T cell therapy research (4 papers). Kotaro Saga collaborates with scholars based in Japan, United States and United Kingdom. Kotaro Saga's co-authors include Yasufumi Kaneda, Mitsuyoshi Matsuo, Takao Kaneko, Naoko Sasaki, Keisuke Nimura, Motonari Nomura, Takashi Shimbo, Katsuto Tamai, Takehiko Yamazaki and Masahiro Fukuzawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kotaro Saga

24 papers receiving 846 citations

Peers

Kotaro Saga

IMMUN

GENET

ONCOL

Andrés Delgado Cañedo Brazil

Jienny Lee South Korea

Hye Yeon Choi South Korea

Xingwang Zhou China

Hee Min Yoo South Korea

Zhizhong Zheng China

Aeyung Kim South Korea

Manuela Zonfrillo Italy

Maria Assunta Bevilacqua Italy

Carolina de la Torre Spain

Andrés Delgado Cañedo Brazil

Kotaro Saga

417 ×1.0

219 ×1.4

IMMUN

123 ×1.0

GENET

133 ×1.3

ONCOL

45 ×0.5

Citations per year, relative to Kotaro Saga Kotaro Saga (= 1×) peers Andrés Delgado Cañedo

Countries citing papers authored by Kotaro Saga

Since Specialization

Citations

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

Fields of papers citing papers by Kotaro Saga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kotaro Saga

This figure shows the co-authorship network connecting the top 25 collaborators of Kotaro Saga. A scholar is included among the top collaborators of Kotaro Saga 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 Kotaro Saga. Kotaro Saga 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

Ouchi, Yuya, et al.. (2024). Evaluation of the digestion protocol of mouse neonatal epidermis for single-cell RNA sequencing. Biochemical and Biophysical Research Communications. 743. 151159–151159. 1 indexed citations

Li, Yue, Atsushi Tanemura, Riuko Ohashi, et al.. (2024). Local treatment of HVJ-E with T cell costimulatory molecule stimulation elicits systemic anti-tumor effects. SHILAP Revista de lepidopterología. 32(4). 200893–200893. 1 indexed citations

Saga, Kotaro, et al.. (2022). DNA barcoding and gene expression recording reveal the presence of cancer cells with unique properties during tumor progression. Cellular and Molecular Life Sciences. 80(1). 17–17. 2 indexed citations

Kitamura, Koji, Keisuke Nimura, Rie Ito, et al.. (2020). Evaluation of HPV16 E7 expression in head and neck carcinoma cell lines and clinical specimens. Scientific Reports. 10(1). 22138–22138. 6 indexed citations

Saga, Kotaro, et al.. (2020). A simple method using CRISPR-Cas9 to knock-out genes in murine cancerous cell lines. Scientific Reports. 10(1). 22345–22345. 16 indexed citations

Kawamura, Norihiko, Keisuke Nimura, Kotaro Saga, et al.. (2019). SF3B2-Mediated RNA Splicing Drives Human Prostate Cancer Progression. Cancer Research. 79(20). 5204–5217. 55 indexed citations

Saga, Kotaro, Jinhee Park, Keisuke Nimura, et al.. (2019). NANOG helps cancer cells escape NK cell attack by downregulating ICAM1 during tumorigenesis. Journal of Experimental & Clinical Cancer Research. 38(1). 416–416. 29 indexed citations

Nimura, Keisuke, Masamichi Yamamoto, M Takeichi, et al.. (2016). Regulation of alternative polyadenylation by Nkx2-5 and Xrn2 during mouse heart development. eLife. 5. 20 indexed citations

Kaneda, Yasufumi & Kotaro Saga. (2015). Oncolytic Sendai virus-based virotherapy for cancer: recent advances. SHILAP Revista de lepidopterología. 4. 141–141. 22 indexed citations

10.

TAKAHASHI, K., Masayuki Endo, Takekazu Miyoshi, et al.. (2015). Immune Tolerance Induction Using Fetal Directed Placental Injection in Rodent Models: A Murine Model. PLoS ONE. 10(4). e0123712–e0123712. 5 indexed citations

11.

Nimura, Keisuke, et al.. (2014). Histone H3 Lysine 36 Methyltransferase Whsc1 Promotes the Association of Runx2 and p300 in the Activation of Bone-Related Genes. PLoS ONE. 9(9). e106661–e106661. 25 indexed citations

12.

Nomura, Motonari, et al.. (2013). Accumulation of Cytosolic Calcium Induces Necroptotic Cell Death in Human Neuroblastoma. Cancer Research. 74(4). 1056–1066. 101 indexed citations

13.

Saga, Kotaro & Yasufumi Kaneda. (2013). Virosome Presents Multimodel Cancer Therapy without Viral Replication. BioMed Research International. 2013. 1–9. 25 indexed citations

14.

Hatano, Koji, Motonari Nomura, Tomoyuki Nishikawa, et al.. (2012). TRAIL and Noxa Are Selectively Upregulated in Prostate Cancer Cells Downstream of the RIG-I/MAVS Signaling Pathway by Nonreplicating Sendai Virus Particles. Clinical Cancer Research. 18(22). 6271–6283. 79 indexed citations

15.

Saga, Kotaro, Katsuto Tamai, Takehiko Yamazaki, & Yasufumi Kaneda. (2012). Systemic Administration of a Novel Immune-Stimulatory Pseudovirion Suppresses Lung Metastatic Melanoma by Regionally Enhancing IFN-γ Production. Clinical Cancer Research. 19(3). 668–679. 20 indexed citations

16.

Tamai, Katsuto, Takehiko Yamazaki, Takenao Chino, et al.. (2011). PDGFRα-positive cells in bone marrow are mobilized by high mobility group box 1 (HMGB1) to regenerate injured epithelia. Proceedings of the National Academy of Sciences. 108(16). 6609–6614. 181 indexed citations

17.

Fujita, Hiroshi, Katsuto Tamai, Kotaro Saga, et al.. (2011). Methyl-beta cyclodextrin alters the production and infectivity of Sendai virus. Archives of Virology. 156(6). 995–1005. 6 indexed citations

18.

Saga, Kotaro, Katsuto Tamai, Takashi Shimbo, et al.. (2007). Functional modification of Sendai virus by siRNA. Journal of Biotechnology. 133(3). 386–394. 12 indexed citations

19.

Shimbo, Takashi, Kotaro Saga, Hiroshi Fujita, et al.. (2007). Development of a transferrin receptor-targeting HVJ-E vector. Biochemical and Biophysical Research Communications. 364(3). 423–428. 21 indexed citations

20.

Maeda, K., et al.. (1984). [A case of suppressor/cytotoxic T cell lymphoma originating from the skin and revealing a rapid clinical course due to DIC].. PubMed. 94(8). 913–20. 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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