Harumasa Nakamura

1.2k total citations
77 papers, 880 citations indexed

About

Harumasa Nakamura is a scholar working on Molecular Biology, Mechanical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Harumasa Nakamura has authored 77 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Mechanical Engineering and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Harumasa Nakamura's work include Muscle Physiology and Disorders (21 papers), Genetic Neurodegenerative Diseases (14 papers) and Welding Techniques and Residual Stresses (14 papers). Harumasa Nakamura is often cited by papers focused on Muscle Physiology and Disorders (21 papers), Genetic Neurodegenerative Diseases (14 papers) and Welding Techniques and Residual Stresses (14 papers). Harumasa Nakamura collaborates with scholars based in Japan, United States and Italy. Harumasa Nakamura's co-authors include Hirofumi Komaki, Ichizo Nishino, Shin’ichi Takeda, Madoka Mori‐Yoshimura, Raphael A. Nemenoff, J H Gronich, Joseph V. Bonventre, En Kimura, S. Katayama and Yukiko Hayashi and has published in prestigious journals such as Journal of Clinical Investigation, Scientific Reports and Science Translational Medicine.

In The Last Decade

Harumasa Nakamura

67 papers receiving 854 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harumasa Nakamura Japan 15 431 139 128 123 116 77 880
Masaaki Takeda Japan 21 301 0.7× 130 0.9× 41 0.3× 133 1.1× 162 1.4× 101 1.3k
Jeffrey Burdick United States 12 205 0.5× 114 0.8× 216 1.7× 43 0.3× 70 0.6× 16 850
Yu Su China 19 476 1.1× 137 1.0× 25 0.2× 35 0.3× 56 0.5× 57 906
Kentaro Otani Japan 17 200 0.5× 31 0.2× 154 1.2× 50 0.4× 199 1.7× 50 856
Hiroshi Akita Japan 14 185 0.4× 29 0.2× 81 0.6× 68 0.6× 22 0.2× 68 796
So Young Ahn South Korea 14 344 0.8× 27 0.2× 117 0.9× 35 0.3× 15 0.1× 39 869
Guoqing Li China 19 702 1.6× 17 0.1× 34 0.3× 139 1.1× 66 0.6× 85 1.4k
Feiya Wang United States 17 346 0.8× 90 0.6× 49 0.4× 91 0.7× 53 0.5× 38 1.0k
Hanzhe Zhang China 15 135 0.3× 91 0.7× 16 0.1× 163 1.3× 48 0.4× 38 727
Frédéric Dubas France 17 108 0.3× 55 0.4× 62 0.5× 164 1.3× 15 0.1× 52 1.1k

Countries citing papers authored by Harumasa Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Harumasa Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harumasa Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Harumasa Nakamura. A scholar is included among the top collaborators of Harumasa Nakamura 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 Harumasa Nakamura. Harumasa Nakamura 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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Komaki, Hirofumi, Harumasa Nakamura, Norio Motohashi, et al.. (2023). Systemic administration of the antisense oligonucleotide NS ‐089/ NCNP ‐02 for skipping of exon 44 in patients with Duchenne muscular dystrophy: Study protocol for a phase I/ II clinical trial. Neuropsychopharmacology Reports. 43(2). 277–286. 7 indexed citations
4.
Nakamori, Masayuki, Daisaku Nakatani, Toshio Saito, et al.. (2023). Erythromycin for myotonic dystrophy type 1: a multicentre, randomised, double-blind, placebo-controlled, phase 2 trial. EClinicalMedicine. 67. 102390–102390. 7 indexed citations
5.
Sato, Wakiro, Daisuke Noto, M. Araki, et al.. (2023). First-in-human clinical trial of the NKT cell-stimulatory glycolipid OCH in multiple sclerosis. Therapeutic Advances in Neurological Disorders. 16. 4223443241–4223443241. 10 indexed citations
6.
Kuru, Satoshi, Tomoya Kubota, Tsuyoshi Matsumura, et al.. (2021). Characteristics of myotonic dystrophy patients in the national registry of Japan. Journal of the Neurological Sciences. 432. 120080–120080. 3 indexed citations
7.
Okubo, Mariko, Kanako Goto, Hirofumi Komaki, et al.. (2017). Comprehensive analysis for genetic diagnosis of Dystrophinopathies in Japan. Orphanet Journal of Rare Diseases. 12(1). 149–149. 38 indexed citations
8.
Okada, Akira, et al.. (1996). Bead formation and Characteristics of Heat Transfer and Damped Oscillation. Monitoring Bead Formation by Detection of Molten Metal Characteristics during Pulsed GTA Welding.. QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY. 14(3). 538–545. 2 indexed citations
9.
Nakamura, Harumasa, et al.. (1994). [Prevention of drug interactions and its countermeasure].. PubMed. 19(3). App89–93. 3 indexed citations
10.
Nakamura, Harumasa. (1994). Levels of Polychlorinated dibenzo-p-dioxins, dibenzofurans, PCBs, DDTs and HCHs in human adipose tissue and breast milk from the south of Vietnam. Organohalogen compounds. 21. 71–76. 13 indexed citations
11.
Watanabe, Takehiko, et al.. (1990). Solidification Control of Austenitic Stainless Steel Weld Metal by Electromagnetic Stirring. Transactions of the Japan Welding Society. 21(2). 109–115. 6 indexed citations
12.
Watanabe, Takehiko, et al.. (1988). A study on solidification control of austenitic stainless steel weld metal. (2nd Report). Grain refinement by TIG welding with electromagnetic stirring.. QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY. 6(1). 132–138. 2 indexed citations
13.
Watanabe, Takehiko, et al.. (1987). Grain refinement by pulsed TIG welding. A study on solidification control of austenitic stainless steel weld metal. 1st report.. QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY. 5(1). 16–21. 2 indexed citations
14.
Watanabe, Takehiko, et al.. (1985). Association of microstructures and pitting corrosion in weld metals of austenitic stainless steels.. QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY. 3(1). 55–60.
15.
Yurioka, Nobutaka & Harumasa Nakamura. (1981). Investigation of the Mass Diffusion Equation with Activity as a Variable. Transactions of the Japan Welding Society. 12(2). 53. 3 indexed citations
16.
Ogawa, Tadao, et al.. (1981). . JOURNAL OF THE JAPAN WELDING SOCIETY. 50(12). 1203–1211. 5 indexed citations
17.
Inagaki, Michio, et al.. (1971). A Metallurgical Study on Postheat Treatment of Overlaid Austenitic Weld Metals. JOURNAL OF THE JAPAN WELDING SOCIETY. 40(6). 563–572.
18.
Inagaki, Michio, Harumasa Nakamura, & Akira Okada. (1965). Studies of Cooling Processes in the Cases of Welding with Coated Electrode and Submerged Arc Welding. JOURNAL OF THE JAPAN WELDING SOCIETY. 34(10). 1064–1075. 10 indexed citations
19.
Inagaki, Michio, et al.. (1963). Effect of Restraining Force on Root Cracking of High Strength Steel Welds in NRIM TRC Test. JOURNAL OF THE JAPAN WELDING SOCIETY. 32(1). 44–55. 2 indexed citations
20.
Kihara, Hiroshi, et al.. (1962). A Study of Root Cracking in High Strength Steel Welds (Report 1). JOURNAL OF THE JAPAN WELDING SOCIETY. 31(1). 53–66. 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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