Kazuhito Sakamoto

1.3k total citations
31 papers, 1.1k citations indexed

About

Kazuhito Sakamoto is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Kazuhito Sakamoto has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 13 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Kazuhito Sakamoto's work include Cytokine Signaling Pathways and Interactions (9 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Virus-based gene therapy research (4 papers). Kazuhito Sakamoto is often cited by papers focused on Cytokine Signaling Pathways and Interactions (9 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Virus-based gene therapy research (4 papers). Kazuhito Sakamoto collaborates with scholars based in United States, Japan and Austria. Kazuhito Sakamoto's co-authors include Kay‐Uwe Wagner, Aleata A. Triplett, Warren J. Leonard, Mohit Kashyap, Gertraud W. Robinson, Yrina Rochman, Julio Gómez‐Rodríguez, Qian Zhang, Lothar Hennighausen and Wan-Chi Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Immunology and PLoS ONE.

In The Last Decade

Kazuhito Sakamoto

29 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazuhito Sakamoto United States 18 399 350 268 151 139 31 1.1k
Pia Wallbrandt Sweden 10 227 0.6× 684 2.0× 114 0.4× 107 0.7× 138 1.0× 12 1.2k
Steven F. Ziegler United States 8 506 1.3× 320 0.9× 528 2.0× 77 0.5× 277 2.0× 11 1.3k
Toshihiko Hoashi Japan 16 136 0.3× 426 1.2× 260 1.0× 80 0.5× 399 2.9× 56 1.2k
María Ángeles García-López Spain 13 233 0.6× 254 0.7× 546 2.0× 88 0.6× 75 0.5× 20 1.0k
Paula Aguilera Spain 22 570 1.4× 549 1.6× 161 0.6× 125 0.8× 338 2.4× 84 1.3k
Matthew Glyn United Kingdom 12 155 0.4× 772 2.2× 117 0.4× 175 1.2× 221 1.6× 26 1.3k
L. Frati Italy 21 269 0.7× 830 2.4× 413 1.5× 263 1.7× 41 0.3× 34 1.5k
Masahiko Ohtsuki Japan 13 572 1.4× 906 2.6× 420 1.6× 216 1.4× 26 0.2× 21 1.7k
Makoto Kuwahara Japan 14 215 0.5× 343 1.0× 644 2.4× 62 0.4× 32 0.2× 28 1.0k
Mika Nishihara Japan 7 246 0.6× 292 0.8× 522 1.9× 63 0.4× 62 0.4× 9 996

Countries citing papers authored by Kazuhito Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhito Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuhito Sakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhito Sakamoto. A scholar is included among the top collaborators of Kazuhito Sakamoto 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 Kazuhito Sakamoto. Kazuhito Sakamoto 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.
Ukon, Yuichiro, Masahiro Nishida, Kazuhito Sakamoto, et al.. (2022). Prostaglandin EP4 Selective Agonist AKDS001 Enhances New Bone Formation by Minimodeling in a Rat Heterotopic Xenograft Model of Human Bone. Frontiers in Bioengineering and Biotechnology. 10. 845716–845716. 2 indexed citations
2.
Sakamoto, Kazuhito, Aleata A. Triplett, Rosa‐Maria Ferraiuolo, et al.. (2020). Efficient tissue-type specific expression of target genes in a tetracycline-controlled manner from the ubiquitously active Eef1a1 locus. Scientific Reports. 10(1). 207–207. 4 indexed citations
3.
Sakamoto, Kazuhito, et al.. (2015). Mouse Models of Breast Cancer. Methods in molecular biology. 1267. 47–71. 22 indexed citations
4.
Gan, Xiaohong Tracey, Venkatesh Rajapurohitam, Jenny Y. Xue, et al.. (2015). Myocardial Hypertrophic Remodeling and Impaired Left Ventricular Function in Mice with a Cardiac-Specific Deletion of Janus Kinase 2. American Journal Of Pathology. 185(12). 3202–3210. 6 indexed citations
5.
Sakamoto, Kazuhito, Aleata A. Triplett, Steven M. Anderson, et al.. (2014). Stat5 Regulates the Phosphatidylinositol 3-Kinase/Akt1 Pathway during Mammary Gland Development and Tumorigenesis. Molecular and Cellular Biology. 34(7). 1363–1377. 54 indexed citations
6.
Akada, Hajime, et al.. (2014). Critical Role of Jak2 in the Maintenance and Function of Adult Hematopoietic Stem Cells. Stem Cells. 32(7). 1878–1889. 67 indexed citations
7.
Sakamoto, Kazuhito, Channabasavaiah B. Gurumurthy, & Kay‐Uwe Wagner. (2014). Generation of Conditional Knockout Mice. Methods in molecular biology. 1194. 21–35. 9 indexed citations
8.
Sakamoto, Kazuhito, et al.. (2014). Novel transcripts from a distinct promoter that encode the full-length AKT1 in human breast cancer cells. BMC Cancer. 14(1). 195–195. 4 indexed citations
9.
Lin, Wan-Chi, Nirakar Rajbhandari, Chengbao Liu, et al.. (2013). Dormant Cancer Cells Contribute to Residual Disease in a Model of Reversible Pancreatic Cancer. Cancer Research. 73(6). 1821–1830. 60 indexed citations
10.
Zhang, Qian, Kazuhito Sakamoto, & Kay‐Uwe Wagner. (2013). D-type Cyclins are important downstream effectors of cytokine signaling that regulate the proliferation of normal and neoplastic mammary epithelial cells. Molecular and Cellular Endocrinology. 382(1). 583–592. 43 indexed citations
11.
Sakamoto, Kazuhito, et al.. (2012). Generation of a Novel MMTV-tTA Transgenic Mouse Strain for the Targeted Expression of Genes in the Embryonic and Postnatal Mammary Gland. PLoS ONE. 7(8). e43778–e43778. 18 indexed citations
12.
Zhang, Qian, Kazuhito Sakamoto, Chengbao Liu, et al.. (2011). Cyclin D3 Compensates for the Loss of Cyclin D1 during ErbB2-Induced Mammary Tumor Initiation and Progression. Cancer Research. 71(24). 7513–7524. 31 indexed citations
13.
Rochman, Yrina, Mohit Kashyap, Gertraud W. Robinson, et al.. (2010). Thymic stromal lymphopoietin-mediated STAT5 phosphorylation via kinases JAK1 and JAK2 reveals a key difference from IL-7–induced signaling. Proceedings of the National Academy of Sciences. 107(45). 19455–19460. 159 indexed citations
14.
Sakamoto, Kazuhito, Wan-Chi Lin, Aleata A. Triplett, & Kay‐Uwe Wagner. (2009). Targeting Janus Kinase 2 in Her2/neu-Expressing Mammary Cancer: Implications for Cancer Prevention and Therapy. Cancer Research. 69(16). 6642–6650. 31 indexed citations
15.
16.
Sakamoto, Kazuhito, et al.. (2007). The Janus Kinase 2 Is Required for Expression and Nuclear Accumulation of Cyclin D1 in Proliferating Mammary Epithelial Cells. Molecular Endocrinology. 21(8). 1877–1892. 64 indexed citations
17.
Yonekura, Shinichi, Kazuhito Sakamoto, Tokushi Komatsu, et al.. (2005). Growth hormone and lactogenic hormones can reduce the leptin mRNA expression in bovine mammary epithelial cells. Domestic Animal Endocrinology. 31(1). 88–96. 15 indexed citations
18.
19.
Nishita, Toshiho, et al.. (2003). Expression and localization of carbonic anhydrase in bovine mammary gland and secretion in milk. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 134(2). 349–354. 17 indexed citations
20.
Sakamoto, Kazuhito. (1990). The Formation and Structure of Production in Suburban Gardening Areas of Metropolitan Regions. Japanese Journal of Human Geography. 42(6). 545–561. 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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