Takayuki Shindo

8.2k total citations
116 papers, 5.7k citations indexed

About

Takayuki Shindo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Takayuki Shindo has authored 116 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 50 papers in Cellular and Molecular Neuroscience and 15 papers in Oncology. Recurrent topics in Takayuki Shindo's work include Neuropeptides and Animal Physiology (47 papers), Receptor Mechanisms and Signaling (28 papers) and CRISPR and Genetic Engineering (10 papers). Takayuki Shindo is often cited by papers focused on Neuropeptides and Animal Physiology (47 papers), Receptor Mechanisms and Signaling (28 papers) and CRISPR and Genetic Engineering (10 papers). Takayuki Shindo collaborates with scholars based in Japan, Germany and United States. Takayuki Shindo's co-authors include Ryozo Nagai, Ichiro Manabe, Renier A. L. van der Hoorn, Hiroki Kurihara, Yukiko Kurihara, Yoshio Yazaki, Hiroyuki Morita, Takayuki Sakurai, Yoshio Oh-hashi and Akiko Kamiyoshi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Takayuki Shindo

114 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takayuki Shindo Japan 40 2.8k 1.2k 1.1k 779 530 116 5.7k
Yingjie Wu China 31 2.0k 0.7× 1.0k 0.8× 358 0.3× 176 0.2× 340 0.6× 93 4.1k
Pierre Launay France 42 1.9k 0.7× 388 0.3× 430 0.4× 384 0.5× 662 1.2× 71 5.8k
Wei Cui China 43 3.8k 1.4× 281 0.2× 331 0.3× 358 0.5× 929 1.8× 120 6.4k
Shang‐Zhong Xu China 35 1.8k 0.6× 280 0.2× 861 0.8× 343 0.4× 405 0.8× 98 4.0k
David Stapleton Australia 46 6.4k 2.3× 697 0.6× 382 0.4× 794 1.0× 2.7k 5.1× 94 8.9k
Shigeru Nakashima Japan 45 4.0k 1.4× 236 0.2× 493 0.5× 204 0.3× 494 0.9× 174 6.3k
Attila Braun Germany 37 1.7k 0.6× 174 0.1× 474 0.4× 454 0.6× 255 0.5× 75 4.4k
Yo-ichi Nabeshima Japan 21 5.4k 1.9× 265 0.2× 322 0.3× 318 0.4× 450 0.8× 30 6.9k
Jing Zheng United States 39 1.6k 0.6× 476 0.4× 209 0.2× 293 0.4× 220 0.4× 152 4.3k
Dong Min Shin South Korea 39 2.4k 0.9× 215 0.2× 924 0.9× 129 0.2× 681 1.3× 144 5.0k

Countries citing papers authored by Takayuki Shindo

Since Specialization
Citations

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

Fields of papers citing papers by Takayuki Shindo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Shindo

This figure shows the co-authorship network connecting the top 25 collaborators of Takayuki Shindo. A scholar is included among the top collaborators of Takayuki Shindo 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 Takayuki Shindo. Takayuki Shindo 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.
Sakurai, Takashi, Akiko Kamiyoshi, Megumu Tanaka, et al.. (2025). Adrenomedullin 2/Intermedin Exerts Cardioprotective Effects by Regulating Cardiomyocyte Mitochondrial Function. Hypertension. 82(3). e6–e21. 2 indexed citations
2.
Hirabayashi, Kazutaka, Akira Imai, Yasuhiro Iesato, et al.. (2023). Role of Adrenomedullin 2/Intermedin in the Pathogenesis of Neovascular Age-Related Macular Degeneration. Laboratory Investigation. 103(4). 100038–100038. 8 indexed citations
3.
Tanaka, Megumu, Akiko Kamiyoshi, Takayuki Sakurai, et al.. (2023). Receptor activity-modifying proteins of adrenomedullin (RAMP2/3): Roles in the pathogenesis of ARDS.. Peptides. 171. 171118–171118. 4 indexed citations
4.
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6.
Davis, Amanda M., James Ronald, Anthony J. Wilkinson, et al.. (2018). HSP90 Contributes to Entrainment of the Arabidopsis Circadian Clock via the Morning Loop. Genetics. 210(4). 1383–1390. 9 indexed citations
7.
Kamiyoshi, Akiko, Megumu Tanaka, Takayuki Sakurai, et al.. (2018). RAMP3 deficiency enhances postmenopausal obesity and metabolic disorders. Peptides. 110. 10–18. 13 indexed citations
8.
Xian, Xian, Takayuki Sakurai, Akiko Kamiyoshi, et al.. (2017). Vasoprotective Activities of the Adrenomedullin-RAMP2 System in Endothelial Cells. Endocrinology. 158(5). 1359–1372. 16 indexed citations
9.
Imai, Akira, Yuichi Toriyama, Yasuhiro Iesato, et al.. (2017). Adrenomedullin Suppresses Vascular Endothelial Growth Factor–Induced Vascular Hyperpermeability and Inflammation in Retinopathy. American Journal Of Pathology. 187(5). 999–1015. 26 indexed citations
10.
Iesato, Yasuhiro, Kentaro Yuda, Xue Tan, et al.. (2016). Adrenomedullin: A potential therapeutic target for retinochoroidal disease. Progress in Retinal and Eye Research. 52. 112–129. 13 indexed citations
11.
Ishida, Kumiko, Tomoyuki Kawamata, Satoshi Tanaka, Takayuki Shindo, & Mikito Kawamata. (2014). Calcitonin Gene–related Peptide Is Involved in Inflammatory Pain but Not in Postoperative Pain. Anesthesiology. 121(5). 1068–1079. 24 indexed citations
12.
Shindo, Takayuki, Takayuki Sakurai, Akiko Kamiyoshi, et al.. (2013). Regulation of Adrenomedullin and its Family Peptide by RAMP System – Lessons from Genetically Engineered Mice. Current Protein and Peptide Science. 14(5). 347–357. 17 indexed citations
13.
Takeda, Norifumi, Ichiro Manabe, Yuichi Uchino, et al.. (2009). Cardiac fibroblasts are essential for the adaptive response of the murine heart to pressure overload. Journal of Clinical Investigation. 120(1). 254–265. 314 indexed citations
14.
Kukimoto‐Niino, Mutsuko, Ryogo Akasaka, Marcos Hikari Toyama, et al.. (2008). Crystal structure of the human receptor activity‐modifying protein 1 extracellular domain. Protein Science. 17(11). 1907–1914. 41 indexed citations
15.
Ichikawa‐Shindo, Yuka, Takayuki Sakurai, Akiko Kamiyoshi, et al.. (2007). The GPCR modulator protein RAMP2 is essential for angiogenesis and vascular integrity. Journal of Clinical Investigation. 118(1). 29–39. 153 indexed citations
16.
Sakurai, Takayuki, et al.. (2007). Rapid zygosity determination in mice by SYBR Green real-time genomic PCR of a crude DNA solution. Transgenic Research. 17(1). 149–155. 20 indexed citations
17.
Nagai, R, Toru Suzuki, Kenichi Aizawa, Takayuki Shindo, & Ichiro Manabe. (2005). Significance of the transcription factor KLF5 in cardiovascular remodeling. Journal of Thrombosis and Haemostasis. 3(8). 1569–1576. 82 indexed citations
18.
Oishi, Yumiko, Ichiro Manabe, Kazuyuki Tobe, et al.. (2005). Krüppel-like transcription factor KLF5 is a key regulator of adipocyte differentiation. Cell Metabolism. 1(1). 27–39. 363 indexed citations
19.
Muto, Shinsuke, Toru Suzuki, Kenichi Aizawa, et al.. (2002). Transcriptional activation by acetylation of the transcription factor IKLF/BTEB2 by p300. Japanese Circulation Journal-english Edition. 66. 283. 1 indexed citations
20.
Morita, Hiroyuki, Hiroki Kurihara, Yukiko Kurihara, et al.. (1998). Systemic and Renal Response to Salt Loading in Endothelin-1 Knockout Mice. Journal of Cardiovascular Pharmacology. 31. S557–S560. 7 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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