Shu Takeda

13.8k total citations · 5 hit papers
86 papers, 10.0k citations indexed

About

Shu Takeda is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Oncology. According to data from OpenAlex, Shu Takeda has authored 86 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 21 papers in Endocrine and Autonomic Systems and 18 papers in Oncology. Recurrent topics in Shu Takeda's work include Bone Metabolism and Diseases (23 papers), Regulation of Appetite and Obesity (19 papers) and Bone health and treatments (13 papers). Shu Takeda is often cited by papers focused on Bone Metabolism and Diseases (23 papers), Regulation of Appetite and Obesity (19 papers) and Bone health and treatments (13 papers). Shu Takeda collaborates with scholars based in Japan, United States and Germany. Shu Takeda's co-authors include Gérard Karsenty, Patricia Ducy, Florent Elefteriou, Xiuyun Liu, Michael Amling, Jianhe Shen, Matthias Priemel, Frank Timo Beil, Arndt F. Schilling and Charles Vinson and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Shu Takeda

84 papers receiving 9.8k citations

Hit Papers

Leptin Inhibits Bone Formation through a Hypothalamic Relay 1997 2026 2006 2016 2000 2002 2005 1997 2007 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Takeda Japan 40 4.7k 2.0k 1.8k 1.8k 1.6k 86 10.0k
Eiichi Hinoi Japan 37 3.5k 0.7× 1.3k 0.7× 1.4k 0.8× 1.2k 0.7× 681 0.4× 159 7.4k
Mathieu Ferron Canada 33 4.2k 0.9× 2.3k 1.2× 1.8k 1.0× 1.6k 0.9× 427 0.3× 67 9.4k
Shoshana Yakar United States 61 6.8k 1.4× 866 0.4× 2.4k 1.3× 2.0k 1.1× 505 0.3× 172 13.7k
Matthias Priemel Germany 30 2.1k 0.4× 1.4k 0.7× 758 0.4× 1.1k 0.6× 637 0.4× 76 5.6k
Florent Elefteriou United States 35 2.2k 0.5× 1.0k 0.5× 1.1k 0.6× 962 0.5× 820 0.5× 74 5.8k
Wim Van Hul Belgium 56 7.0k 1.5× 1.3k 0.7× 1.4k 0.8× 2.9k 1.6× 300 0.2× 240 11.8k
Sheila Scully United States 37 5.1k 1.1× 1.0k 0.5× 649 0.4× 2.8k 1.6× 787 0.5× 59 8.5k
Geoffrey N. Hendy Canada 59 5.2k 1.1× 747 0.4× 960 0.5× 2.6k 1.5× 329 0.2× 241 10.7k
Olle Isaksson Sweden 52 3.8k 0.8× 855 0.4× 2.0k 1.1× 913 0.5× 776 0.5× 148 15.1k
Xiang‐Hang Luo China 43 3.5k 0.7× 1.2k 0.6× 920 0.5× 863 0.5× 232 0.1× 127 6.2k

Countries citing papers authored by Shu Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Shu Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Takeda. A scholar is included among the top collaborators of Shu Takeda 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 Shu Takeda. Shu Takeda 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.
Yamada, Hironori, Hiroki Ochi, Satoko Sunamura, et al.. (2023). Three-dimensional visualization of neural networks inside bone by Osteo-DISCO protocol and alteration of bone remodeling by surgical nerve ablation. Scientific Reports. 13(1). 4674–4674. 7 indexed citations
2.
Arai, Makoto, Hiroki Ochi, Satoko Sunamura, et al.. (2023). A Novel Long Noncoding RNA in Osteocytes Regulates Bone Formation through the Wnt/β-Catenin Signaling Pathway. International Journal of Molecular Sciences. 24(17). 13633–13633. 4 indexed citations
3.
Omatsu, Yoshiki, Kazunari Aoki, Hitomi Watanabe, et al.. (2022). Runx1 and Runx2 inhibit fibrotic conversion of cellular niches for hematopoietic stem cells. Nature Communications. 13(1). 2654–2654. 26 indexed citations
4.
Sato, Tsuyoshi, Yuichiro Enoki, Masahiko OKUBO, et al.. (2017). Semaphorin 3A Promotes Dendrite Elongation of Osteocytes in Association with Down-regulation of CDK6.. PubMed. 30(3). 231–6. 9 indexed citations
5.
Takahashi, Daiei, Takayasu Mori, Eisei Sohara, et al.. (2017). WNK4 is an Adipogenic Factor and Its Deletion Reduces Diet-Induced Obesity in Mice. EBioMedicine. 18. 118–127. 16 indexed citations
6.
Saito, Masanori, et al.. (2016). The Indispensable Role of Cyclin-Dependent Kinase 1 in Skeletal Development. Scientific Reports. 6(1). 20622–20622. 26 indexed citations
7.
Fukuda, Toru, Hiroki Ochi, Satoko Sunamura, et al.. (2015). MicroRNA‐145 regulates osteoblastic differentiation by targeting the transcription factor Cbfb. FEBS Letters. 589(21). 3302–3308. 48 indexed citations
8.
Ochi, Hiroki & Shu Takeda. (2014). [Bone metabolism and cardiovascular function update. Nerve system and mutual interaction between bone and blood vessel].. PubMed. 24(7). 77–83. 2 indexed citations
9.
Sato, Shingo & Shu Takeda. (2014). [Regulation of bone metastasis by microRNAs].. PubMed. 24(8). 1209–15. 1 indexed citations
10.
Fukuda, Toru & Shu Takeda. (2013). [Regulation of osteoblastic differentiation by Wnt signals].. PubMed. 23(6). 825–30. 1 indexed citations
11.
Fukuda, Toru & Shu Takeda. (2013). [Secondary osteoporosis or secondary contributors to bone loss in fracture. Regulation of bone homeostasis by nerve system].. PubMed. 23(9). 1279–83. 3 indexed citations
12.
Wehbi, Vanessa L., Tadayoshi Hayata, Timothy N. Feinstein, et al.. (2012). Anabolic action of parathyroid hormone regulated by the β 2 -adrenergic receptor. Proceedings of the National Academy of Sciences. 109(19). 7433–7438. 53 indexed citations
13.
Kimura, Ayako, Shingo Sato, Hiroyuki Inose, et al.. (2012). Runx2 Haploinsufficiency Ameliorates the Development of Ossification of the Posterior Longitudinal Ligament. PLoS ONE. 7(8). e43372–e43372. 10 indexed citations
14.
Takeda, Shu. (2009). [Hormones and osteoporosis update. Regulation of bone remodeling by adipokines].. PubMed. 19(7). 1009–14. 2 indexed citations
15.
Takeda, Shu. (2008). [Effect of obesity on bone metabolism].. PubMed. 18(5). 632–7. 16 indexed citations
16.
Kamekura, Satoru, Yosuke Kawasaki, Kazuto Hoshi, et al.. (2006). Contribution of runt‐related transcription factor 2 to the pathogenesis of osteoarthritis in mice after induction of knee joint instability. Arthritis & Rheumatism. 54(8). 2462–2470. 263 indexed citations
17.
Takeda, Shu. (2005). [Central control of bone metabolism].. PubMed. 15(5). 797–804. 2 indexed citations
18.
Takeda, Shu. (2004). [Leptin and beta-blockers in bone metabolism].. PubMed. 14(2). 241–7. 2 indexed citations
19.
Takeda, Shu, Florent Elefteriou, Régis Levasseur, et al.. (2002). Leptin Regulates Bone Formation via the Sympathetic Nervous System. Cell. 111(3). 305–317. 1330 indexed citations breakdown →
20.
Takeda, Shu & Gérard Karsenty. (2001). Central control of bone formation. Journal of Bone and Mineral Metabolism. 19(3). 195–198. 85 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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