Hajime Murakami

1.5k total citations
42 papers, 982 citations indexed

About

Hajime Murakami is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Hajime Murakami has authored 42 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Biomedical Engineering. Recurrent topics in Hajime Murakami's work include DNA Repair Mechanisms (14 papers), Fungal and yeast genetics research (9 papers) and Muscle activation and electromyography studies (7 papers). Hajime Murakami is often cited by papers focused on DNA Repair Mechanisms (14 papers), Fungal and yeast genetics research (9 papers) and Muscle activation and electromyography studies (7 papers). Hajime Murakami collaborates with scholars based in Japan, United States and France. Hajime Murakami's co-authors include Scott Keeney, Alain Nicolas, R. Kniewel, Hannah G. Blitzblau, Andreas Hochwagen, Maria Jasin, Sam E. Tischfield, Xuan Zhu, Mariko Sasaki and Matthew J. Neale and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Hajime Murakami

33 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hajime Murakami Japan 13 837 232 140 131 72 42 982
Ruishuang Geng United States 17 595 0.7× 378 1.6× 77 0.6× 54 0.4× 86 1.2× 34 954
Zhanxiang Wang China 8 805 1.0× 126 0.5× 223 1.6× 109 0.8× 45 0.6× 10 958
Wesley D. Gifford United States 9 1.7k 2.1× 390 1.7× 215 1.5× 32 0.2× 219 3.0× 9 1.9k
Jennifer Nguyen United States 7 668 0.8× 113 0.5× 143 1.0× 59 0.5× 18 0.3× 18 913
Sumeet Sarin United States 12 565 0.7× 114 0.5× 151 1.1× 65 0.5× 41 0.6× 12 928
Yoav Hadas United States 13 391 0.5× 63 0.3× 106 0.8× 104 0.8× 35 0.5× 28 572
Kyle R. Upton Australia 11 959 1.1× 663 2.9× 296 2.1× 21 0.2× 122 1.7× 17 1.2k
Natalie G. Farny United States 11 895 1.1× 56 0.2× 144 1.0× 52 0.4× 118 1.6× 16 997
Bénédicte Franco France 8 613 0.7× 200 0.9× 85 0.6× 127 1.0× 79 1.1× 8 782
Thomas L. Gallagher United States 10 601 0.7× 251 1.1× 175 1.3× 24 0.2× 25 0.3× 17 779

Countries citing papers authored by Hajime Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Hajime Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajime Murakami

This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Murakami. A scholar is included among the top collaborators of Hajime Murakami 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 Hajime Murakami. Hajime Murakami 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.
Kim, Soonjoung, et al.. (2025). Insight into meiotic DNA end resection: Mechanisms and regulation. DNA repair. 153. 103886–103886.
2.
Huang, P.C., Soogil Hong, Eleni P. Mimitou, et al.. (2024). Meiotic DNA break resection and recombination rely on chromatin remodeler Fun30. The EMBO Journal. 44(1). 200–224. 3 indexed citations
3.
Murakami, Hajime, et al.. (2020). Chromosome-autonomous feedback down-regulates meiotic DNA break competence upon synaptonemal complex formation. Genes & Development. 34(23-24). 1605–1618. 37 indexed citations
4.
Kniewel, R., Hajime Murakami, Masaru Ito, et al.. (2017). Histone H3 Threonine 11 Phosphorylation Is Catalyzed Directly by the Meiosis-Specific Kinase Mek1 and Provides a Molecular Readout of Mek1 Activity in Vivo. Genetics. 207(4). 1313–1333. 27 indexed citations
5.
Takemura, Kazuhisa & Hajime Murakami. (2016). Probability Weighting Functions Derived from Hyperbolic Time Discounting: Psychophysical Models and Their Individual Level Testing. Frontiers in Psychology. 7. 778–778. 4 indexed citations
6.
Murakami, Hajime & Scott Keeney. (2014). Temporospatial Coordination of Meiotic DNA Replication and Recombination via DDK Recruitment to Replisomes. Cell. 159(3). 697–698. 2 indexed citations
7.
Pan, Jing, Mariko Sasaki, R. Kniewel, et al.. (2011). A Hierarchical Combination of Factors Shapes the Genome-wide Topography of Yeast Meiotic Recombination Initiation. Cell. 144(5). 719–731. 418 indexed citations
8.
Hayashi, Kazuhiko, Katsuo Koike, Yasuo Kizawa, et al.. (2009). Thrombin‐stimulated proliferation is mediated by endothelin‐1 in cultured rat gingival fibroblasts. Fundamental and Clinical Pharmacology. 24(4). 501–508. 12 indexed citations
9.
Murakami, Hajime, Nobuyuki Yamamoto, Narikazu Boku, et al.. (2008). 394 POSTER Final results of a Phase I study of cediranib, a VEGFR signaling inhibitor, in Japanese patients with advanced solid tumors. European Journal of Cancer Supplements. 6(12). 124–124. 1 indexed citations
10.
Sasanuma, Hiroyuki, Hajime Murakami, Tomoyuki Fukuda, et al.. (2007). Meiotic association between Spo11 regulated by Rec102, Rec104 and Rec114. Nucleic Acids Research. 35(4). 1119–1133. 45 indexed citations
11.
Kizawa, Yasuo, et al.. (2005). Inhibition of angiotensin II‐ and endothelin‐1‐stimulated proliferation by selective MEK inhibitor in cultured rabbit gingival fibroblasts†. Fundamental and Clinical Pharmacology. 19(6). 677–685. 3 indexed citations
12.
13.
Hayashi, Kazuhiko, Katsuo Koike, Yasuo Kizawa, et al.. (2004). Pharmacological properties of angiotensin II receptors in cultured rabbit gingival fibroblasts. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 137(3). 281–289. 12 indexed citations
14.
Peciña, Ana, Kathleen N. Smith, Christine Mézard, et al.. (2002). Targeted Stimulation of Meiotic Recombination. Cell. 111(2). 173–184. 81 indexed citations
15.
Murakami, Hajime, et al.. (2000). Measurement of the cervical movement for the control of the omni-directional motorized wheel chair. 2000.11(0). 13–14. 1 indexed citations
16.
Murakami, Hajime, et al.. (1997). Fundamental study on creation of stimulus patterns with artificial neural network for functional electrical stimulation. 35(4). 407–413. 2 indexed citations
17.
Kurosawa, Kenji, et al.. (1996). A study on modification method of stimulation patterns for FES. 34(2). 103–110. 4 indexed citations
18.
Hoshimiya, N., et al.. (1992). Response of the neuromuscular system by simultaneous stimulation to the antagonistic muscle pair. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 30. 1469–1470. 1 indexed citations
19.
Sano, Masakazu, et al.. (1989). Identification of drug receptors in porcine dental pulp by the radioligand binding assay. General Pharmacology The Vascular System. 20(4). 525–528. 5 indexed citations
20.
Murakami, Hajime, et al.. (1977). . Journal of the Atomic Energy Society of Japan / Atomic Energy Society of Japan. 19(12). 853–861. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ruishuang Geng Breakdown of academic impact, for papers by Zhanxiang Wang Breakdown of academic impact, for papers by Wesley D. Gifford Breakdown of academic impact, for papers by Jennifer Nguyen Breakdown of academic impact, for papers by Sumeet Sarin Breakdown of academic impact, for papers by Yoav Hadas Breakdown of academic impact, for papers by Kyle R. Upton Breakdown of academic impact, for papers by Natalie G. Farny Breakdown of academic impact, for papers by Bénédicte Franco Breakdown of academic impact, for papers by Thomas L. Gallagher
Rankless by CCL
2026