Kumiko Hayashi

1.3k total citations
56 papers, 907 citations indexed

About

Kumiko Hayashi is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Cell Biology. According to data from OpenAlex, Kumiko Hayashi has authored 56 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 20 papers in Statistical and Nonlinear Physics and 11 papers in Cell Biology. Recurrent topics in Kumiko Hayashi's work include Advanced Thermodynamics and Statistical Mechanics (20 papers), Microtubule and mitosis dynamics (9 papers) and ATP Synthase and ATPases Research (9 papers). Kumiko Hayashi is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (20 papers), Microtubule and mitosis dynamics (9 papers) and ATP Synthase and ATPases Research (9 papers). Kumiko Hayashi collaborates with scholars based in Japan, Italy and Thailand. Kumiko Hayashi's co-authors include Shin-ichi Sasa, Hiroyuki Noji, Hiroshi Ueno, Ryota Iino, Mitsunori Takano, Masato Kasuga, Yoko Senga, Wataru Ogawa, Aki Emi and Kiyoshi Sasaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Kumiko Hayashi

51 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kumiko Hayashi Japan 17 377 269 147 87 86 56 907
Xiaomei Zhu China 22 637 1.7× 110 0.4× 72 0.5× 53 0.6× 51 0.6× 77 1.3k
Kei Suzuki Japan 20 436 1.2× 31 0.1× 112 0.8× 73 0.8× 87 1.0× 89 1.2k
Gang Su China 20 492 1.3× 57 0.2× 329 2.2× 25 0.3× 207 2.4× 102 1.5k
Han Bao China 19 918 2.4× 65 0.2× 48 0.3× 88 1.0× 89 1.0× 38 1.2k
Toshiaki Tanaka Japan 20 463 1.2× 125 0.5× 168 1.1× 105 1.2× 94 1.1× 98 1.3k
Hiroshi Hasegawa Japan 14 261 0.7× 146 0.5× 75 0.5× 111 1.3× 15 0.2× 26 794
Johannes Schmidt Germany 16 585 1.6× 68 0.3× 60 0.4× 24 0.3× 6 0.1× 30 1.0k
Azeem Hasan United States 12 839 2.2× 48 0.2× 24 0.2× 109 1.3× 27 0.3× 16 1.5k
Wei‐Yuan Chou Taiwan 17 465 1.2× 15 0.1× 120 0.8× 44 0.5× 61 0.7× 63 934
Simone Furini Italy 24 1.3k 3.3× 33 0.1× 57 0.4× 34 0.4× 37 0.4× 84 1.7k

Countries citing papers authored by Kumiko Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Kumiko Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumiko Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Kumiko Hayashi. A scholar is included among the top collaborators of Kumiko Hayashi 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 Kumiko Hayashi. Kumiko Hayashi 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.
Kagawa, Y., et al.. (2024). Extreme-value analysis of intracellular cargo transport by motor proteins. Communications Physics. 7(1). 1 indexed citations
2.
Hayashi, Kumiko, et al.. (2024). Extreme-value analysis in nano-biological systems: applications and implications. Biophysical Reviews. 16(5). 571–579.
3.
Kaneko, Jun, et al.. (2023). [A Case of Liver Metastasis of Colorectal Cancer Successfully Treated with Hepatic Arterial Infusion Chemotherapy after Systemic Chemotherapy Was Difficult to Administer].. PubMed. 50(1). 110–112. 1 indexed citations
4.
Hayashi, Kumiko, et al.. (2022). De novo mutations in KIF1A-associated neuronal disorder (KAND) dominant-negatively inhibit motor activity and axonal transport of synaptic vesicle precursors. Proceedings of the National Academy of Sciences. 119(32). e2113795119–e2113795119. 25 indexed citations
5.
Hasegawa, Shin, Takashi Sagawa, Kazuho Ikeda, Yasushi Okada, & Kumiko Hayashi. (2019). Investigation of Multiple-Dynein Transport of Melanosomes by Non-Invasive Force Measurement using the Fluctuation Theorem. Biophysical Journal. 116(3). 411a–411a. 1 indexed citations
6.
Hayashi, Kumiko. (2018). Application of the fluctuation theorem to motor proteins: from F1-ATPase to axonal cargo transport by kinesin and dynein. Biophysical Reviews. 10(5). 1311–1321. 9 indexed citations
7.
Hayashi, Ryunosuke, et al.. (2015). F 1 -ATPアーゼ上の単一分子実験で観察される拡散の巨大な加速. Physical Review Letters. 114(24). 1–248101. 8 indexed citations
8.
Kishikawa, Jun-ichi, et al.. (2014). F-subunit reinforces torque generation in V-ATPase. European Biophysics Journal. 43(8-9). 415–422. 9 indexed citations
9.
10.
Watanabe, Rikiya, Kumiko Hayashi, Hiroshi Ueno, & Hiroyuki Noji. (2013). Catalysis-Enhancement via Rotary Fluctuation of F1-ATPase. Biophysical Journal. 105(10). 2385–2391. 26 indexed citations
11.
Hayashi, Kumiko, et al.. (2013). Viscosity and drag force involved in organelle transport: Investigation of the fluctuation dissipation theorem. The European Physical Journal E. 36(12). 136–136. 17 indexed citations
12.
Sasaki, Kiyoshi, Kumiko Hayashi, Albrecht Poth, et al.. (2012). Photo catalogue for the classification of foci in the BALB/c 3T3 cell transformation assay. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 744(1). 42–53. 30 indexed citations
13.
Sasaki, Kiyoshi, Kumiko Hayashi, Pascal Phrakonkham, et al.. (2011). Recommended protocol for the BALB/c 3T3 cell transformation assay. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 744(1). 30–35. 30 indexed citations
14.
Lee, Jae‐Sung, et al.. (2011). Marginal Zinc Deficiency Exacerbates Experimental Colitis Induced by Dextran Sulfate Sodium in Rats. Journal of Nutrition. 141(6). 1077–1082. 51 indexed citations
15.
Sasaki, Kiyoshi, et al.. (2009). Comparison of sensitivity to arsenic compounds between a Bhas 42 cell transformation assay and a BALB/c 3T3 cell transformation assay. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 675(1-2). 66–70. 11 indexed citations
16.
Tanaka, Noriho, Kiyoshi Sasaki, Kumiko Hayashi, et al.. (2009). An Interlaboratory Collaborative Study on a Cell Transformation Assay Using Bhas 42 Cells. 14(1). 831–848. 6 indexed citations
17.
Hayashi, Kumiko & Mitsunori Takano. (2007). Violation of the Fluctuation-Dissipation Theorem in a Protein System. Biophysical Journal. 93(3). 895–901. 27 indexed citations
18.
Hayashi, Kumiko & Shin-ichi Sasa. (2005). Extended Einstein relations with a complex effective temperature in a one-dimensional driven lattice gas. Physical Review E. 71(4). 46143–46143. 10 indexed citations
19.
Hayashi, Kumiko & Shin-ichi Sasa. (2003). Thermodynamic relations in a driven lattice gas: Numerical experiments. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(3). 35104–35104. 22 indexed citations
20.
Hayashi, Kumiko, et al.. (2001). Intestinal absorption of zinc is promoted by low-level intake but inhibited by high-level intake of corn husk fiber in rats. Nutrition Research. 21(4). 627–637. 5 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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