Hideo Watanabe

9.8k total citations
248 papers, 5.1k citations indexed

About

Hideo Watanabe is a scholar working on Mechanical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Hideo Watanabe has authored 248 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Mechanical Engineering, 46 papers in Materials Chemistry and 37 papers in Molecular Biology. Recurrent topics in Hideo Watanabe's work include Aluminum Alloys Composites Properties (21 papers), Microstructure and mechanical properties (18 papers) and Metal Forming Simulation Techniques (17 papers). Hideo Watanabe is often cited by papers focused on Aluminum Alloys Composites Properties (21 papers), Microstructure and mechanical properties (18 papers) and Metal Forming Simulation Techniques (17 papers). Hideo Watanabe collaborates with scholars based in Japan, United States and China. Hideo Watanabe's co-authors include Keiichi Tomishige, Yoshinao Nakagawa, Dalin Li, Kazu Okumura, Mitsuru Koike, Matthew Meyerson, Lei Wang, Masazumi Tamura, Shuichi Koso and Joshua M. Francis and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Nature Genetics.

In The Last Decade

Hideo Watanabe

210 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideo Watanabe Japan 38 1.9k 1.4k 1.2k 943 711 248 5.1k
Tetsuya Kodama Japan 44 3.0k 1.6× 988 0.7× 734 0.6× 2.3k 2.5× 843 1.2× 242 6.4k
Richard J. Price United States 42 4.6k 2.5× 895 0.7× 1.6k 1.4× 1.5k 1.6× 275 0.4× 146 7.6k
Yang Liu China 46 1.8k 1.0× 541 0.4× 1.1k 0.9× 3.0k 3.1× 369 0.5× 538 8.0k
Cheng Cheng China 54 1.3k 0.7× 544 0.4× 1.5k 1.3× 3.0k 3.2× 146 0.2× 467 10.1k
Lihua Wang China 50 832 0.4× 1.9k 1.4× 1.1k 1.0× 4.6k 4.9× 283 0.4× 349 9.7k
Jing Yu China 44 2.6k 1.4× 1.1k 0.8× 880 0.8× 2.2k 2.3× 122 0.2× 375 7.1k
Akira Yamauchi Japan 51 453 0.2× 698 0.5× 3.1k 2.6× 487 0.5× 231 0.3× 289 9.1k
Ming Su United States 39 1.8k 1.0× 1.0k 0.8× 939 0.8× 1.6k 1.7× 101 0.1× 170 5.4k
Xiangdong Liu China 45 1.3k 0.7× 2.3k 1.7× 900 0.8× 838 0.9× 58 0.1× 348 7.6k
Yazhou Wang China 44 1.3k 0.7× 357 0.3× 1.1k 1.0× 1.2k 1.3× 151 0.2× 230 7.2k

Countries citing papers authored by Hideo Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Hideo Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideo Watanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Hideo Watanabe. A scholar is included among the top collaborators of Hideo Watanabe 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 Hideo Watanabe. Hideo Watanabe 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.
Yoo, Seungyeul, Feng Jiang, Eric Park, et al.. (2025). Epigenomic analysis identifies DTP subpopulation using HOPX to develop targeted therapy resistance in lung adenocarcinoma. iScience. 28(5). 112387–112387.
2.
Murayama, Takahiko, Navin R. Mahadevan, Catherine B. Meador, et al.. (2024). Targeting TREX1 Induces Innate Immune Response in Drug-Resistant Small-Cell Lung Cancer. Cancer Research Communications. 4(9). 2399–2414. 10 indexed citations
3.
Maruyama, Masaki, Toshihiro Sato, Azuma Watanabe, et al.. (2023). Effectiveness and safety of lubiprostone after switching from stimulant laxatives in elderly patients with chronic constipation. JGH Open. 7(9). 610–617. 1 indexed citations
4.
Akanuma, Naoki, Ikei S. Kobayashi, Eunyoung Heo, et al.. (2023). TIP60 is required for tumorigenesis in non‐small cell lung cancer. Cancer Science. 114(6). 2400–2413. 14 indexed citations
5.
Patel, Ayushi S., Seungyeul Yoo, Ranran Kong, et al.. (2021). Prototypical oncogene family Myc defines unappreciated distinct lineage states of small cell lung cancer. Science Advances. 7(5). 47 indexed citations
6.
Sato, Takashi, Seungyeul Yoo, Ranran Kong, et al.. (2019). Epigenomic Profiling Discovers Trans-lineage SOX2 Partnerships Driving Tumor Heterogeneity in Lung Squamous Cell Carcinoma. Cancer Research. 79(24). 6084–6100. 26 indexed citations
7.
Kitajima, Shunsuke, Elena V. Ivanova, Sujuan Guo, et al.. (2018). Suppression of STING Associated with LKB1 Loss in KRAS-Driven Lung Cancer. Cancer Discovery. 9(1). 34–45. 348 indexed citations
8.
Bansal, Ruchi, Shigeki Nakagawa, Saleh Yazdani, et al.. (2017). Integrin alpha 11 in the regulation of the myofibroblast phenotype: implications for fibrotic diseases. Experimental & Molecular Medicine. 49(11). e396–e396. 59 indexed citations
9.
Lin, Wenchu, Hideo Watanabe, Shouyong Peng, et al.. (2014). Dynamic Epigenetic Regulation by Menin During Pancreatic Islet Tumor Formation. Molecular Cancer Research. 13(4). 689–698. 49 indexed citations
10.
Watanabe, Hideo, Qiuping Ma, Shouyong Peng, et al.. (2014). SOX2 and p63 colocalize at genetic loci in squamous cell carcinomas. Journal of Clinical Investigation. 124(4). 1636–1645. 118 indexed citations
11.
Cho, Jeonghee, Sandra Pastorino, Qing Zeng, et al.. (2011). Glioblastoma-Derived Epidermal Growth Factor Receptor Carboxyl-Terminal Deletion Mutants Are Transforming and Are Sensitive to EGFR-Directed Therapies. Cancer Research. 71(24). 7587–7596. 53 indexed citations
12.
Watanabe, Hideo, et al.. (2011). High purity aluminum. Journal of Japan Institute of Light Metals. 61(5). 226–236. 1 indexed citations
13.
ITOH, Goroh, et al.. (2008). Influence of impurity hydrogen on coarse grain evolution in high purity aluminum foils for electrolytic capacitors. Journal of Japan Institute of Light Metals. 58(6). 229–235. 1 indexed citations
14.
15.
Watanabe, Hideo, Tatsushi Matsuyama, & Hideo Yamamoto. (1997). The Formation of an Immobilized Enzyme Particle by Electrostatic Atomization and Its Performance.. Journal of the Society of Powder Technology Japan. 34(9). 679–683. 3 indexed citations
16.
17.
Watanabe, Hideo, et al.. (1995). Effects of supernumerary teeth in the maxillary anterior region on the permanent central incisors : Clinical evaluations and X-ray co-ordinates analysis. 5(1). 49–53. 1 indexed citations
18.
Watanabe, Akira, et al.. (1988). Fabrication of particle dispersed aluminum alloy composites by compocasting process and their properties.. Journal of Japan Institute of Light Metals. 38(10). 626–632. 6 indexed citations
19.
Sano, Tsuneji, et al.. (1987). Effect of SiO2/Al2O3 ratio on methanol conversion to light olefins over zeolites containing alkaline earth metals.. NIPPON KAGAKU KAISHI. 791–796. 2 indexed citations
20.
Yamamuro, Takao, et al.. (1983). Progression of Congenital Kyphosis in Ishibashi Rats. Acta Orthopaedica Scandinavica. 54(6). 841–846. 3 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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