Hiroki Yokota

10.6k total citations
231 papers, 5.1k citations indexed

About

Hiroki Yokota is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Hiroki Yokota has authored 231 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 50 papers in Oncology and 35 papers in Cell Biology. Recurrent topics in Hiroki Yokota's work include Bone Metabolism and Diseases (31 papers), Bone health and treatments (25 papers) and Osteoarthritis Treatment and Mechanisms (24 papers). Hiroki Yokota is often cited by papers focused on Bone Metabolism and Diseases (31 papers), Bone health and treatments (25 papers) and Osteoarthritis Treatment and Mechanisms (24 papers). Hiroki Yokota collaborates with scholars based in United States, China and Japan. Hiroki Yokota's co-authors include Hui Sun, Kazunori Hamamura, Ger van den Engh, Ping Zhang, John E. Hearst, Shigeo Tanaka, B. J. Trask, Xinle Li, Daquan Liu and Charles H. Turner 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

Hiroki Yokota

225 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
Hiroki Yokota United States 38 2.7k 825 688 660 635 231 5.1k
Richard A.D. Carano United States 44 3.4k 1.3× 1.3k 1.6× 498 0.7× 1.1k 1.6× 499 0.8× 90 8.4k
Airong Qian China 38 2.6k 1.0× 534 0.6× 389 0.6× 797 1.2× 373 0.6× 178 5.1k
Svetlana V. Komarova Canada 39 2.4k 0.9× 1.6k 1.9× 313 0.5× 694 1.1× 334 0.5× 143 5.2k
Anthony J. Hayes United Kingdom 40 1.7k 0.6× 784 1.0× 857 1.2× 430 0.7× 832 1.3× 114 6.1k
Tamara Alliston United States 39 2.9k 1.1× 1.2k 1.5× 1.2k 1.8× 1.3k 2.0× 1.2k 1.9× 97 6.7k
Randall L. Duncan United States 42 3.1k 1.2× 706 0.9× 1.7k 2.5× 1.4k 2.1× 488 0.8× 109 6.7k
Damian E. Myers Australia 39 2.2k 0.8× 1.0k 1.2× 205 0.3× 597 0.9× 339 0.5× 113 5.8k
Ira M. Herman United States 47 3.7k 1.4× 598 0.7× 2.0k 3.0× 656 1.0× 328 0.5× 112 8.9k
Omar Skalli United States 40 3.0k 1.1× 1.0k 1.2× 1.6k 2.3× 274 0.4× 754 1.2× 94 8.6k
Takao Sakai Japan 37 2.0k 0.7× 688 0.8× 1.2k 1.7× 261 0.4× 212 0.3× 176 5.0k

Countries citing papers authored by Hiroki Yokota

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Yokota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Yokota

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Yokota. A scholar is included among the top collaborators of Hiroki Yokota 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 Hiroki Yokota. Hiroki Yokota 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.
Aryal, Uma K., Hee-Chang Lim, Jing Liu, et al.. (2024). Therapeutic Insights into Low-intensity Vibration for Generating Induced Tumor-Suppressive Cells and Modulating the Bone Microenvironment. Engineering. 43. 201–215. 2 indexed citations
2.
Li, Kexin, et al.. (2023). The Double-Edged Proteins in Cancer Proteomes and the Generation of Induced Tumor-Suppressing Cells (iTSCs). Proteomes. 11(1). 5–5. 4 indexed citations
3.
Li, Kexin, et al.. (2023). Three unconventional maxims in the natural selection of cancer cells: Generation of induced tumor-suppressing cells (iTSCs). International Journal of Biological Sciences. 19(5). 1403–1412. 1 indexed citations
4.
Li, Kexin, Xun Sun, Kazumasa Minami, et al.. (2023). Proteomes from AMPK-inhibited peripheral blood mononuclear cells suppress the progression of breast cancer and bone metastasis. Theranostics. 13(4). 1247–1263. 10 indexed citations
5.
Siegel, Amanda P., Shengzhi Liu, Sunil S. Tholpady, et al.. (2023). Canine-Inspired Chemometric Analysis of Volatile Organic Compounds in Urine Headspace to Distinguish Prostate Cancer in Mice and Men. Cancers. 15(4). 1352–1352. 10 indexed citations
6.
Wang, Luqi, Shengzhi Liu, Maitri Kalra, et al.. (2022). Chemometric Analysis of Urinary Volatile Organic Compounds to Monitor the Efficacy of Pitavastatin Treatments on Mammary Tumor Progression over Time. Molecules. 27(13). 4277–4277. 5 indexed citations
7.
Chen, Andy, Yue Wang, Yao Fan, et al.. (2019). Vinculin Force Sensor Detects Tumor-Osteocyte Interactions. Scientific Reports. 9(1). 5615–5615. 26 indexed citations
8.
Arai, Masayuki, et al.. (2018). Delaying Effect of Fatigue Crack Propagation by Single-Pulse Laser Irradiation. MDPI (MDPI AG). 478–478. 3 indexed citations
9.
Yokota, Hiroki, et al.. (2018). The HSV-1 mechanisms of cell-to-cell spread and fusion are critically dependent on host PTP1B. PLoS Pathogens. 14(5). e1007054–e1007054. 37 indexed citations
10.
Wang, Luqi, Yue Wang, Andy Chen, et al.. (2018). Effects of a checkpoint kinase inhibitor, AZD7762, on tumor suppression and bone remodeling. PMC. 4 indexed citations
11.
Minami, Kazumasa, Shengzhi Liu, Liu Yang, et al.. (2017). Inhibitory Effects of Dopamine Receptor D1 Agonist on Mammary Tumor and Bone Metastasis. Scientific Reports. 7(1). 45686–45686. 40 indexed citations
12.
Chen, Andy, Luqi Wang, Bai‐Yan Li, et al.. (2017). Reduction in Migratory Phenotype in a Metastasized Breast Cancer Cell Line via Downregulation of S100A4 and GRM3. PMC. 1 indexed citations
13.
Chen, Andy, Qiaoqiao Wan, Sungsoo Na, et al.. (2016). Role of miR-222-3p in c-Src-Mediated Regulation of Osteoclastogenesis. PMC. 1 indexed citations
14.
Yajima, Aiji, Ken Tsuchiya, Hiroki Yokota, & Kosaku Nitta. (2016). [Bone disease in the field of CKD-MBD].. PubMed. 26(6). 875–80. 1 indexed citations
15.
Hamamura, Kazunori, et al.. (2016). Suppression of osteoclastogenesis via upregulation of Zfyve21 and Ddit4 by salubrinal and guanabenz. IUScholarWorks (Indiana University). 35(3). 127–135. 1 indexed citations
16.
17.
Hamamura, Kazunori, Andy Chen, Yoshihiro Uto, & Hiroki Yokota. (2015). Potential therapeutic applications of salubrinal for skeletal diseases and beyond. 1(8). 151. 3 indexed citations
18.
Yokota, Hiroki, et al.. (2015). Stimulation of osteoblast differentiation with guided ultrasound waves. PMC. 1 indexed citations
19.
Wan, Qiaoqiao, Seung Joon Kim, Hiroki Yokota, & Sungsoo Na. (2013). Differential activation and inhibition of RhoA by fluid flow induced shear stress in chondrocytes. Cell Biology International. 37(6). 568–576. 16 indexed citations
20.
Zhang, Ping, Kazunori Hamamura, & Hiroki Yokota. (2008). A Brief Review of Bone Adaptation to Unloading.. Publisher.

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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