Masashi Nakatani

4.6k total citations · 1 hit paper
125 papers, 3.3k citations indexed

About

Masashi Nakatani is a scholar working on Molecular Biology, Mechanical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Masashi Nakatani has authored 125 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 29 papers in Mechanical Engineering and 28 papers in Cognitive Neuroscience. Recurrent topics in Masashi Nakatani's work include Tactile and Sensory Interactions (24 papers), Muscle Physiology and Disorders (20 papers) and TGF-β signaling in diseases (9 papers). Masashi Nakatani is often cited by papers focused on Tactile and Sensory Interactions (24 papers), Muscle Physiology and Disorders (20 papers) and TGF-β signaling in diseases (9 papers). Masashi Nakatani collaborates with scholars based in Japan, United States and China. Masashi Nakatani's co-authors include Kunihiro Tsuchida, Akiyoshi Uezumi, Keisuke Hitachi, Yoshihide Sunada, Kei Ameyama, Tatsuya Murakami, Ellen A. Lumpkin, Yoshichika Baba, Srdjan Maksimovic and Hiromu Sugino and has published in prestigious journals such as Nature, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Masashi Nakatani

120 papers receiving 3.3k citations

Hit Papers

Epidermal Merkel cells are mechanosensory cells that tune... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masashi Nakatani Japan 29 1.4k 620 556 388 294 125 3.3k
Mikio Suzuki Japan 40 793 0.5× 369 0.6× 1.5k 2.7× 309 0.8× 617 2.1× 219 4.8k
Changyong Wang China 35 843 0.6× 155 0.3× 131 0.2× 196 0.5× 205 0.7× 138 3.8k
Inchan Youn South Korea 29 540 0.4× 124 0.2× 117 0.2× 411 1.1× 212 0.7× 101 3.8k
Atsushi Takagi Japan 23 540 0.4× 309 0.5× 88 0.2× 385 1.0× 40 0.1× 124 2.0k
Kyungpyo Park South Korea 22 662 0.5× 773 1.2× 93 0.2× 211 0.5× 177 0.6× 71 2.7k
Yong Jun Kim South Korea 31 931 0.6× 112 0.2× 620 1.1× 175 0.5× 1.1k 3.6× 195 4.0k
Shigeru Hirano Japan 43 414 0.3× 2.7k 4.3× 213 0.4× 574 1.5× 181 0.6× 321 5.8k
Arndt F. Schilling Germany 39 2.2k 1.5× 789 1.3× 148 0.3× 76 0.2× 241 0.8× 186 7.1k
Zaccaria Del Prete Italy 20 380 0.3× 138 0.2× 77 0.1× 131 0.3× 243 0.8× 125 1.8k

Countries citing papers authored by Masashi Nakatani

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Nakatani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Nakatani

This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Nakatani. A scholar is included among the top collaborators of Masashi Nakatani 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 Masashi Nakatani. Masashi Nakatani 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.
Ohno, Yoshitaka, Masashi Nakatani, Yuki Matsui, et al.. (2024). Effect of Oral Lactate Administration on Skeletal Muscle Mass in Mice Under Different Loading Conditions. In Vivo. 39(1). 218–227. 1 indexed citations
2.
Ohashi, Atsushi, Masashi Nakatani, Shigeru Nakai, et al.. (2023). Effects of N‐acetyl‐L‐tryptophan on desorption of the protein‐bound uremic toxin indoxyl sulfate and effects on uremic sarcopenia. Therapeutic Apheresis and Dialysis. 27(6). 1023–1027. 1 indexed citations
3.
Seino, Yusuke, Masashi Nakatani, Keisuke Hitachi, et al.. (2023). Blockade of glucagon increases muscle mass and alters fiber type composition in mice deficient in proglucagon‐derived peptides. Journal of Diabetes Investigation. 14(9). 1045–1055. 8 indexed citations
4.
Ohno, Yoshitaka, Masashi Nakatani, Tomomi Ito, et al.. (2023). Activation of Lactate Receptor Positively Regulates Skeletal Muscle Mass in Mice. Physiological Research. 72(4). 465–473. 4 indexed citations
5.
Zhang, Zhe, et al.. (2021). Ratcheting-Fatigue Behavior of Harmonic-Structure-Designed SUS316L Stainless Steel. Metals. 11(3). 477–477. 5 indexed citations
6.
Nakatani, Masashi, Aya Yoshimura, Kunihiro Tsuchida, et al.. (2021). A new murine ileostomy model: recycling stool prevents intestinal atrophy in the distal side of ileostomy.. SHILAP Revista de lepidopterología. 7(2). 41–49. 1 indexed citations
7.
Imura, Masataka, et al.. (2021). Feature Quantification of Material Texture Perception Using a Force-Displacement Relationship. 137. 1157–1157. 2 indexed citations
8.
Nakanishi, S., et al.. (2020). Comprehensive analysis of elemental distribution in human skin using laser ablation inductively coupled plasma mass spectrometry. Skin Research and Technology. 27(4). 576–581. 4 indexed citations
9.
Hitachi, Keisuke, et al.. (2020). Expression Levels of Long Non-Coding RNAs Change in Models of Altered Muscle Activity and Muscle Mass. International Journal of Molecular Sciences. 21(5). 1628–1628. 26 indexed citations
10.
Kerr, David, et al.. (2019). Dynamics and Perception in the Thermal Grill Illusion. IEEE Transactions on Haptics. 12(4). 604–614. 10 indexed citations
11.
Zheng, Ruixiao, Zhe Zhang, Masashi Nakatani, et al.. (2016). Enhanced ductility in harmonic structure designed SUS316L produced by high energy ball milling and hot isostatic sintering. Materials Science and Engineering A. 674. 212–220. 57 indexed citations
12.
Uezumi, Akiyoshi, Masashi Nakatani, Madoka Ikemoto‐Uezumi, et al.. (2016). Cell-Surface Protein Profiling Identifies Distinctive Markers of Progenitor Cells in Human Skeletal Muscle. Stem Cell Reports. 7(2). 263–278. 89 indexed citations
13.
Nakatani, Masashi, et al.. (2014). TECHTILE workshop for sharing haptic experiences( Haptic Contents). 19(4). 593–603. 1 indexed citations
14.
Maksimovic, Srdjan, Masashi Nakatani, Yoshichika Baba, et al.. (2014). Epidermal Merkel cells are mechanosensory cells that tune mammalian touch receptors. Nature. 509(7502). 617–621. 405 indexed citations breakdown →
15.
Murakami, Tatsuya, Masashi Nakatani, Hirotaka Nakatsuji, et al.. (2013). Mechanism of Cell Interactions with Water-Dispersed Carbon Nanohorns. Nanoscience and Nanotechnology Letters. 5(3). 402–407. 3 indexed citations
16.
Denda, Mitsuhiro & Masashi Nakatani. (2009). Acceleration of permeability barrier recovery by exposure of skin to 10-30 kHz sound. British Journal of Dermatology. 162(3). 503–507. 14 indexed citations
17.
Nakatani, Masashi, et al.. (2007). How Human can Discriminate between Convex and Concave Shape from the Tactile Stimulus. eScholarship (California Digital Library). 29(29). 2 indexed citations
18.
Nakatani, Masashi, et al.. (2004). Controlling Method for 3D Form Display with Shape Memory Alloy. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2004(0). 12–12. 3 indexed citations
19.
Shioya, Masatoshi & Masashi Nakatani. (2000). Compressive strengths of single carbon fibres and composite strands. Composites Science and Technology. 60(2). 219–229. 37 indexed citations
20.
Shioya, Masatoshi, et al.. (1999). . Journal of Materials Science. 34(6). 1301–1311. 4 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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