Shojiro Kitajima

1.6k total citations
32 papers, 1.3k citations indexed

About

Shojiro Kitajima is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Shojiro Kitajima has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Shojiro Kitajima's work include Cancer-related Molecular Pathways (11 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Epigenetics and DNA Methylation (5 papers). Shojiro Kitajima is often cited by papers focused on Cancer-related Molecular Pathways (11 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Epigenetics and DNA Methylation (5 papers). Shojiro Kitajima collaborates with scholars based in Japan, Singapore and Sweden. Shojiro Kitajima's co-authors include Takashi Takata, Ikuko Ogawa, Yasusei Kudo, Mutsumi Miyauchi, Hidehiko Kawai, Sunao Sato, Masae Kitagawa, Masaaki Tatsuka, Patrick M. Gaffney and S. Sato and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Shojiro Kitajima

28 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shojiro Kitajima Japan 19 829 612 309 267 179 32 1.3k
Nam Y. Lee United States 23 832 1.0× 284 0.5× 171 0.6× 234 0.9× 61 0.3× 45 1.2k
Elvira Olaso Spain 18 615 0.7× 471 0.8× 355 1.1× 254 1.0× 56 0.3× 30 1.7k
Suh‐Chin J. Lin United States 11 1.1k 1.3× 441 0.7× 132 0.4× 275 1.0× 504 2.8× 15 1.6k
Kenji Tsuchihashi Japan 18 655 0.8× 625 1.0× 130 0.4× 314 1.2× 69 0.4× 69 1.4k
Ralf‐Peter Czekay United States 15 582 0.7× 275 0.4× 167 0.5× 747 2.8× 57 0.3× 18 1.5k
Masachika Tani Japan 22 1.3k 1.6× 458 0.7× 168 0.5× 329 1.2× 76 0.4× 35 1.9k
Laurie Pukac United States 14 840 1.0× 157 0.3× 231 0.7× 185 0.7× 85 0.5× 21 1.4k
Deshui Jia China 17 1.1k 1.3× 307 0.5× 86 0.3× 717 2.7× 77 0.4× 24 1.6k
Justin H. Berger United States 9 550 0.7× 521 0.9× 57 0.2× 184 0.7× 57 0.3× 18 951

Countries citing papers authored by Shojiro Kitajima

Since Specialization
Citations

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

Fields of papers citing papers by Shojiro Kitajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shojiro Kitajima

This figure shows the co-authorship network connecting the top 25 collaborators of Shojiro Kitajima. A scholar is included among the top collaborators of Shojiro 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 Shojiro Kitajima. Shojiro 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.
Morita, Teppei, Takeshi Masuda, Shojiro Kitajima, et al.. (2025). SLFN11-mediated tRNA regulation induces cell death by disrupting proteostasis in response to DNA-damaging agents. Nucleic Acids Research. 53(15).
2.
Hikasa, Hiroki, Kohichi Kawahara, Kohei Otsubo, et al.. (2024). A highly sensitive reporter system to monitor endogenous YAP1/TAZ activity and its application in various human cells. Cancer Science. 115(10). 3370–3383. 1 indexed citations
3.
Zhou, Yue, Nobuaki Kono, Shojiro Kitajima, et al.. (2024). Increased CSN5 expression enhances the sensitivity to lenalidomide in multiple myeloma cells. iScience. 27(12). 111399–111399.
4.
Kadonosono, Tetsuya, Yoshiyuki Matsuo, Shojiro Kitajima, et al.. (2022). AGE/RAGE axis regulates reversible transition to quiescent states of ALK-rearranged NSCLC and pancreatic cancer cells in monolayer cultures. Scientific Reports. 12(1). 9886–9886. 8 indexed citations
5.
Kitajima, Shojiro, Wendi Sun, Kian Leong Lee, et al.. (2021). A KDM6 inhibitor potently induces ATF4 and its target gene expression through HRI activation and by UTX inhibition. Scientific Reports. 11(1). 4538–4538. 6 indexed citations
6.
Wang, Cheng, Tze King Tan, Wei Zhong Leong, et al.. (2020). Oncorequisite role of an aldehyde dehydrogenase in the pathogenesis of T-cell acute lymphoblastic leukemia. Haematologica. 106(6). 1545–1558. 9 indexed citations
7.
Matsunaga, Shinji, Masayuki Shiota, Takehiro Yamaguchi, et al.. (2019). Controlling the Phenotype of Tumor-Infiltrating Macrophages via the PHD-HIF Axis Inhibits Tumor Growth in a Mouse Model. iScience. 19. 940–954. 23 indexed citations
8.
Yamaguchi, Takehiro, Masako Tanaka, Masayuki Shiota, et al.. (2018). A dipeptidyl peptidase-4 (DPP-4) inhibitor, linagliptin, attenuates cardiac dysfunction after myocardial infarction independently of DPP-4. Journal of Pharmacological Sciences. 139(2). 112–119. 18 indexed citations
9.
Sun, Wendi, Hiroyuki Kato, Shojiro Kitajima, et al.. (2017). Interaction between von Hippel-Lindau Protein and Fatty Acid Synthase Modulates Hypoxia Target Gene Expression. Scientific Reports. 7(1). 7190–7190. 12 indexed citations
10.
Ueda, Jun, Jolene Caifeng Ho, Kian Leong Lee, et al.. (2014). The Hypoxia-Inducible Epigenetic Regulators Jmjd1a and G9a Provide a Mechanistic Link between Angiogenesis and Tumor Growth. Molecular and Cellular Biology. 34(19). 3702–3720. 49 indexed citations
11.
Tatsuka, Masaaki, Sunao Sato, Nobuyuki Kamata, et al.. (2009). Oncogenic role of nuclear accumulated Aurora‐A. Molecular Carcinogenesis. 48(9). 810–820. 23 indexed citations
12.
Takata, Takashi, Yasusei Kudo, Hiroko Hatano, et al.. (2007). Identification and Characterization of New Invasion Relating Molecules of Oral Squamous Cell Carcinoma. 31(2). 121–122.
13.
Kitajima, Shojiro, Yasusei Kudo, Ikuko Ogawa, et al.. (2007). Constitutive Phosphorylation of Aurora-A on Ser51 Induces Its Stabilization and Consequent Overexpression in Cancer. PLoS ONE. 2(9). e944–e944. 40 indexed citations
14.
Kudo, Yasusei, Ikuko Ogawa, Shojiro Kitajima, et al.. (2006). Periostin Promotes Invasion and Anchorage-Independent Growth in the Metastatic Process of Head and Neck Cancer. Cancer Research. 66(14). 6928–6935. 182 indexed citations
15.
Kudo, Yasusei, Ikuko Ogawa, Masae Kitagawa, et al.. (2006). Establishment and characterization of a spindle cell squamous carcinoma cell line. Journal of Oral Pathology and Medicine. 35(8). 479–483. 16 indexed citations
16.
Kitajima, Shojiro, Yasusei Kudo, Ikuko Ogawa, et al.. (2004). Role of Cks1 Overexpression in Oral Squamous Cell Carcinomas. American Journal Of Pathology. 165(6). 2147–2155. 70 indexed citations
17.
Sato, Sunao, Mutsumi Miyauchi, Mitsuyasu Kato, et al.. (2004). Upregulated CD44v9 Expression Inhibits the Invasion of Oral Squamous Cell Carcinoma Cells. Pathobiology. 71(4). 171–175. 14 indexed citations
18.
Kudo, Yasusei, Shojiro Kitajima, Ikuko Ogawa, Mutsumi Miyauchi, & Takashi Takata. (2004). Down-regulation of Cdk inhibitor p27 in oral squamous cell carcinoma. Oral Oncology. 41(2). 105–116. 46 indexed citations
19.
Tatsuka, Masaaki, Sunao Sato, Shojiro Kitajima, et al.. (2004). Overexpression of Aurora-A potentiates HRAS-mediated oncogenic transformation and is implicated in oral carcinogenesis. Oncogene. 24(6). 1122–1127. 87 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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