Hidehiko Kawai

3.3k total citations
61 papers, 2.7k citations indexed

About

Hidehiko Kawai is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Hidehiko Kawai has authored 61 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 24 papers in Oncology and 10 papers in Cell Biology. Recurrent topics in Hidehiko Kawai's work include Cancer-related Molecular Pathways (23 papers), DNA Repair Mechanisms (17 papers) and Ubiquitin and proteasome pathways (10 papers). Hidehiko Kawai is often cited by papers focused on Cancer-related Molecular Pathways (23 papers), DNA Repair Mechanisms (17 papers) and Ubiquitin and proteasome pathways (10 papers). Hidehiko Kawai collaborates with scholars based in Japan, United States and Netherlands. Hidehiko Kawai's co-authors include Zhi-Min Yuan, Dmitri Wiederschain, Fumio Suzuki, Zhi-Min Yuan, Ralph B. Arlinghaus, Subrata Sen, Hiroshi Katayama, Kaori Sasai, Satoshi Fujii and Bogdan Czerniak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hidehiko Kawai

55 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hidehiko Kawai Japan 28 2.0k 1.5k 780 430 189 61 2.7k
Fernando Calvo Spain 22 1.8k 0.9× 1.0k 0.7× 1.1k 1.4× 467 1.1× 74 0.4× 42 2.9k
Inga Reynisdóttir Iceland 15 2.0k 1.0× 1.5k 1.0× 318 0.4× 342 0.8× 187 1.0× 25 2.8k
Diep Nguyen United States 19 1.4k 0.7× 638 0.4× 356 0.5× 304 0.7× 120 0.6× 31 2.0k
Sharon Banin United Kingdom 8 1.6k 0.8× 1.0k 0.7× 398 0.5× 447 1.0× 137 0.7× 11 2.0k
Carl G. Maki United States 27 2.3k 1.1× 1.8k 1.2× 328 0.4× 584 1.4× 400 2.1× 62 2.9k
Mark K. Saville United Kingdom 23 2.7k 1.3× 1.9k 1.3× 362 0.5× 490 1.1× 267 1.4× 33 3.2k
Álvaro J. Obaya Spain 26 2.1k 1.1× 1.1k 0.8× 330 0.4× 723 1.7× 51 0.3× 49 3.3k
Sun W. Tam United States 14 2.2k 1.1× 2.1k 1.4× 468 0.6× 394 0.9× 202 1.1× 17 3.2k
Mu‐Shui Dai United States 30 3.1k 1.5× 1.5k 1.0× 240 0.3× 656 1.5× 113 0.6× 62 3.6k
Panayotis Zacharatos Greece 17 2.5k 1.3× 1.2k 0.8× 381 0.5× 522 1.2× 84 0.4× 21 3.1k

Countries citing papers authored by Hidehiko Kawai

Since Specialization
Citations

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

Fields of papers citing papers by Hidehiko Kawai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidehiko Kawai

This figure shows the co-authorship network connecting the top 25 collaborators of Hidehiko Kawai. A scholar is included among the top collaborators of Hidehiko Kawai 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 Hidehiko Kawai. Hidehiko Kawai 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.
Fujikawa, Yoshihiro, et al.. (2025). NEIL1: The second DNA glycosylase involved in action-at-a-distance mutations induced by 8-oxo-7,8-dihydroguanine. Free Radical Biology and Medicine. 229. 374–383. 1 indexed citations
2.
Kawai, Hidehiko, et al.. (2024). Visualization of oxidized guanine nucleotides accumulation in living cells with split MutT. Nucleic Acids Research. 52(11). 6532–6542. 5 indexed citations
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Sanoh, Seigo, et al.. (2023). Methylmercury Decreases AMPA Receptor Subunit GluA2 Levels in Cultured Rat Cortical Neurons. Biological and Pharmaceutical Bulletin. 46(2). 292–300.
5.
Kanao, Rie, Hidehiko Kawai, Toshiyasu Taniguchi, Minoru Takata, & Chikahide Masutani. (2022). RFWD3 and translesion DNA polymerases contribute to PCNA modification–dependent DNA damage tolerance. Life Science Alliance. 5(12). e202201584–e202201584. 7 indexed citations
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Sato, Shunsuke, et al.. (2022). Hypertension and diabetes mellitus are associated with high FIB-4 index in a health checkup examination cohort without known liver disease. BMC Gastroenterology. 22(1). 478–478. 9 indexed citations
9.
Shimura, Tsutomu, Megumi Sasatani, Hidehiko Kawai, et al.. (2018). Radiation-Induced Myofibroblasts Promote Tumor Growth via Mitochondrial ROS–Activated TGFβ Signaling. Molecular Cancer Research. 16(11). 1676–1686. 45 indexed citations
10.
Sasatani, Megumi, Yanbin Xu, Hidehiko Kawai, et al.. (2015). RAD18 Activates the G2/M Checkpoint through DNA Damage Signaling to Maintain Genome Integrity after Ionizing Radiation Exposure. PLoS ONE. 10(2). e0117845–e0117845. 13 indexed citations
11.
SHIMIZU, N., Nakako Izumi Nakajima, Takaaki Tsunematsu, et al.. (2013). Selective Enhancing Effect of Early Mitotic Inhibitor 1 (Emi1) Depletion on the Sensitivity of Doxorubicin or X-ray Treatment in Human Cancer Cells. Journal of Biological Chemistry. 288(24). 17238–17252. 17 indexed citations
12.
Kawai, Hidehiko, Vanessa Lopez-Pajares, Mihee M. Kim, Dmitri Wiederschain, & Zhi-Min Yuan. (2007). RING Domain–Mediated Interaction Is a Requirement for MDM2's E3 Ligase Activity. Cancer Research. 67(13). 6026–6030. 124 indexed citations
13.
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
14.
Wiederschain, Dmitri, Hidehiko Kawai, Ali Shilatifard, & Zhi-Min Yuan. (2004). Multiple MLL fusion proteins suppress p53-mediated response to DNA damage. Cancer Research. 64. 604–605.
15.
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
16.
Kawai, Hidehiko, Dmitri Wiederschain, & Zhi-Min Yuan. (2003). Critical Contribution of the MDM2 Acidic Domain to p53 Ubiquitination. Molecular and Cellular Biology. 23(14). 4939–4947. 105 indexed citations
17.
Gu, Jijie, Hidehiko Kawai, Linghu Nie, et al.. (2002). Mutual Dependence of MDM2 and MDMX in Their Functional Inactivation of p53. Journal of Biological Chemistry. 277(22). 19251–19254. 212 indexed citations
18.
Gu, Jijie, Hidehiko Kawai, Dmitri Wiederschain, & Zhi-Min Yuan. (2001). Mechanism of functional inactivation of a Li-Fraumeni syndrome p53 that has a mutation outside of the DNA-binding domain.. PubMed. 61(4). 1741–6. 18 indexed citations
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Mashima, Tetsuo, Mikihiko Naito, S. Kataoka, Hidehiko Kawai, & T Tsuruo. (1995). Aspartate-Based Inhibitor of Interleukin-1β-Converting Enzyme Prevents Antitumor Agent-Induced Apoptosis in Human Myeloid Leukemia U937 Cells. Biochemical and Biophysical Research Communications. 209(3). 907–915. 138 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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