Yoshiki Mukudai

1.2k total citations
40 papers, 981 citations indexed

About

Yoshiki Mukudai is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yoshiki Mukudai has authored 40 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Yoshiki Mukudai's work include Connective Tissue Growth Factor Research (8 papers), TGF-β signaling in diseases (6 papers) and Osteoarthritis Treatment and Mechanisms (5 papers). Yoshiki Mukudai is often cited by papers focused on Connective Tissue Growth Factor Research (8 papers), TGF-β signaling in diseases (6 papers) and Osteoarthritis Treatment and Mechanisms (5 papers). Yoshiki Mukudai collaborates with scholars based in Japan, United States and Russia. Yoshiki Mukudai's co-authors include Seiji Kondo, Masaharu Takigawa, Satoshi Kubota, Kojiro Kurisu, Satoru Shintani, Takanori Eguchi, Tatsuo Shirota, Kazumi Kawata, Toshihiro Ohgawara and Takuo Kuboki and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Molecular and Cellular Biology.

In The Last Decade

Yoshiki Mukudai

39 papers receiving 967 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoshiki Mukudai Japan 17 579 241 199 121 110 40 981
Cuifen Huang China 14 735 1.3× 360 1.5× 183 0.9× 152 1.3× 101 0.9× 61 1.1k
J. Sherwood Germany 17 514 0.9× 505 2.1× 152 0.8× 140 1.2× 86 0.8× 30 1.0k
Siru Zhou China 18 616 1.1× 446 1.9× 237 1.2× 110 0.9× 71 0.6× 42 1.1k
Adelheid Korb‐Pap Germany 14 481 0.8× 433 1.8× 152 0.8× 204 1.7× 73 0.7× 24 1.0k
Hema Rangaswami United States 12 713 1.2× 461 1.9× 188 0.9× 281 2.3× 132 1.2× 12 1.3k
Takahiro Iino Japan 20 289 0.5× 179 0.7× 117 0.6× 221 1.8× 123 1.1× 50 869
Catherine Baugé France 20 474 0.8× 537 2.2× 205 1.0× 95 0.8× 104 0.9× 45 1.2k
Lujian Tan United States 12 316 0.5× 460 1.9× 220 1.1× 123 1.0× 90 0.8× 12 841
Baoqian Zhu Canada 10 342 0.6× 276 1.1× 125 0.6× 172 1.4× 68 0.6× 14 705
S Tanaka Japan 14 316 0.5× 272 1.1× 129 0.6× 145 1.2× 162 1.5× 31 830

Countries citing papers authored by Yoshiki Mukudai

Since Specialization
Citations

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

Fields of papers citing papers by Yoshiki Mukudai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshiki Mukudai

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiki Mukudai. A scholar is included among the top collaborators of Yoshiki Mukudai 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 Yoshiki Mukudai. Yoshiki Mukudai 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
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Mukudai, Yoshiki, et al.. (2021). Autophagy Prevents Osteocyte Cell Death under Hypoxic Conditions. Cells Tissues Organs. 210(5-6). 326–338. 10 indexed citations
4.
Kato, Kosuke, Yoshiki Mukudai, Chihiro Ito, et al.. (2017). Opposite effects of tumor protein D (TPD) 52 and TPD54 on oral squamous cell carcinoma cells. International Journal of Oncology. 50(5). 1634–1646. 10 indexed citations
5.
Ito, Chihiro, Yoshiki Mukudai, Kosuke Kato, et al.. (2017). Tumor Proteins D52 and D54 Have Opposite Effects on the Terminal Differentiation of Chondrocytes. BioMed Research International. 2017. 1–11. 5 indexed citations
6.
Li, Chunnan, Kazunaga Yazawa, Seiji Kondo, et al.. (2012). The root bark of Paeonia moutan is a potential anticancer agent in human oral squamous cell carcinoma cells.. PubMed. 32(7). 2625–30. 9 indexed citations
7.
Mukudai, Yoshiki, et al.. (2012). A combination of chemical and mechanical stimuli enhances not only osteo- but also chondro-differentiation in adipose-derived stem cells. Journal of Oral Biosciences. 54(4). 188–195. 6 indexed citations
8.
Kondo, Seiji, et al.. (2011). Anti-tumor activity of dehydroxymethylepoxyquinomicin against human oral squamous cell carcinoma cell lines in vitro and in vivo. Oral Oncology. 47(5). 334–339. 22 indexed citations
9.
Kondo, Seiji, Satoshi Kubota, Yoshiki Mukudai, et al.. (2011). Binding of glyceraldehyde-3-phosphate dehydrogenase to the cis-acting element of structure-anchored repression in ccn2 mRNA. Biochemical and Biophysical Research Communications. 405(3). 382–387. 39 indexed citations
10.
Mukudai, Yoshiki, Satoshi Kubota, Takanori Eguchi, et al.. (2010). A coding RNA segment that enhances the ribosomal recruitment of chicken ccn1 mRNA. Journal of Cellular Biochemistry. 111(6). 1607–1618. 5 indexed citations
11.
Eguchi, Takanori, Satoshi Kubota, Kazumi Kawata, et al.. (2008). Novel Transcription Factor-Like Function of Human Matrix Metalloproteinase 3 Regulating the CTGF/CCN2 Gene. Molecular and Cellular Biology. 28(7). 2391–2413. 156 indexed citations
12.
Mukudai, Yoshiki, Satoshi Kubota, Harumi Kawaki, et al.. (2008). Posttranscriptional Regulation of Chicken ccn2 Gene Expression by Nucleophosmin/B23 during Chondrocyte Differentiation. Molecular and Cellular Biology. 28(19). 6134–6147. 23 indexed citations
13.
Kondo, Seiji, Noriko Tanaka, Satoshi Kubota, et al.. (2006). Novel angiogenic inhibitor DN-9693 that inhibits post-transcriptional induction of connective tissue growth factor (CTGF/CCN2) by vascular endothelial growth factor in human endothelial cells. Molecular Cancer Therapeutics. 5(1). 129–137. 20 indexed citations
14.
Kubota, Satoshi, et al.. (2005). Translational repression by the cis‐acting element of structure‐anchored repression (CAESAR) of human ctgf/ccn2 mRNA. FEBS Letters. 579(17). 3751–3758. 14 indexed citations
15.
Mukudai, Yoshiki, et al.. (2004). Regulation of Chicken ccn2 Gene by Interaction between RNA cis-Element and Putative trans-Factor during Differentiation of Chondrocytes. Journal of Biological Chemistry. 280(5). 3166–3177. 21 indexed citations
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Kubota, Satoshi, Yoshiki Mukudai, Takako Hattori, et al.. (2001). Cell-Type-Specific Trans -Activation of Herpes Simplex Virus Thymidine Kinase Promoter by the Human T-Cell Leukemia Virus Type I Tax Protein. DNA and Cell Biology. 20(9). 563–568. 6 indexed citations
18.
Enomoto‐Iwamoto, Motomi, Masahiro Iwamoto, Yoshiki Mukudai, et al.. (1998). Bone Morphogenetic Protein Signaling Is Required for Maintenance of Differentiated Phenotype, Control of Proliferation, and Hypertrophy in Chondrocytes. The Journal of Cell Biology. 140(2). 409–418. 149 indexed citations
19.
Yan, Weiqun, Yoshiki Mukudai, Shigeo Nakamura, et al.. (1998). Role of chondroitin sulfate–hyaluronan interactions in the viscoelastic properties of extracellular matrices and fluids. Biochimica et Biophysica Acta (BBA) - General Subjects. 1380(1). 1–9. 53 indexed citations
20.
Kato, Yukio, et al.. (1995). Effects of hyaluronic acid on the release of cartilage matrix proteoglycan and fibronectin from the cell matrix layer of chondrocyte cultures: interactions between hyaluronic acid and chondroitin sulfate glycosaminoglycan.. PubMed. 43. 158–9. 20 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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