Kosuke Hata

588 total citations
17 papers, 415 citations indexed

About

Kosuke Hata is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Kosuke Hata has authored 17 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Spectroscopy and 5 papers in Biomedical Engineering. Recurrent topics in Kosuke Hata's work include Metabolomics and Mass Spectrometry Studies (6 papers), Analytical Chemistry and Chromatography (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Kosuke Hata is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Analytical Chemistry and Chromatography (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Kosuke Hata collaborates with scholars based in Japan, Belgium and India. Kosuke Hata's co-authors include Toshikazu Nagakura, Shinji Matsuda, Yoshihiro Izumi, Takeshi Bamba, Takeshi Hara, Masatomo Takahashi, Takashi Moriyoshi, Shunsaku Katoh, Kenichi Sakai and Gino V. Baron and has published in prestigious journals such as Analytical Chemistry, Journal of Agricultural and Food Chemistry and Nature Structural & Molecular Biology.

In The Last Decade

Kosuke Hata

16 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kosuke Hata Japan	9	140	111	101	90	57	17	415
Kavita Sharma India	8	91 0.7×	76 0.7×	127 1.3×	17 0.2×	91 1.6×	17	398
Tara B. Hendry‐Hofer United States	16	169 1.2×	25 0.2×	61 0.6×	33 0.4×	25 0.4×	39	747
Agata Pietrzycka Poland	10	63 0.5×	36 0.3×	38 0.4×	31 0.3×	116 2.0×	22	335
Serena Di Vincenzo Italy	18	368 2.6×	39 0.4×	154 1.5×	8 0.1×	58 1.0×	57	858
Sunao Li China	7	122 0.9×	64 0.6×	39 0.4×	28 0.3×	111 1.9×	10	382
Nilson Antônio Assunção Brazil	12	210 1.5×	27 0.2×	55 0.5×	38 0.4×	62 1.1×	48	468
Neuza Domingues Portugal	11	146 1.0×	17 0.2×	35 0.3×	14 0.2×	24 0.4×	19	408
Jing Cheng China	10	124 0.9×	48 0.4×	49 0.5×	10 0.1×	71 1.2×	24	301
R.C.A. Schellekens Netherlands	9	85 0.6×	35 0.3×	52 0.5×	23 0.3×	35 0.6×	14	454
Thomas C. Hunter United States	12	174 1.2×	45 0.4×	11 0.1×	114 1.3×	62 1.1×	17	490

Countries citing papers authored by Kosuke Hata

Since Specialization

Citations

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

Fields of papers citing papers by Kosuke Hata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kosuke Hata

This figure shows the co-authorship network connecting the top 25 collaborators of Kosuke Hata. A scholar is included among the top collaborators of Kosuke Hata 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 Kosuke Hata. Kosuke Hata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Otsuka, Yoichi, Kazuya Kabayama, Masatomo Takahashi, et al.. (2025). Single-cell mass spectrometry imaging of lipids in HeLa cells via tapping-mode scanning probe electrospray ionization. Communications Chemistry. 8(1). 147–147. 3 indexed citations

Miyata, Yugo, Yongchan Lee, R Kuribayashi, et al.. (2024). Membrane structure-responsive lipid scrambling by TMEM63B to control plasma membrane lipid distribution. Nature Structural & Molecular Biology. 32(1). 185–198. 7 indexed citations

Soma, Yuki, Yoshihiro Izumi, Masatomo Takahashi, et al.. (2022). In-Needle Pre-Column Derivatization for Amino Acid Quantification (iPDAQ) Using HPLC. Metabolites. 12(9). 807–807. 3 indexed citations

Hara, Takeshi, Gino V. Baron, Kosuke Hata, et al.. (2021). Performance of functionalized monolithic silica capillary columns with different mesopore sizes using radical polymerization of octadecyl methacrylate. Journal of Chromatography A. 1651. 462282–462282. 1 indexed citations

Hata, Kosuke, Yuki Soma, Masatomo Takahashi, et al.. (2021). Calibration-Curve-Locking Database for Semi-Quantitative Metabolomics by Gas Chromatography/Mass Spectrometry. Metabolites. 11(4). 207–207. 3 indexed citations

Watanabe, Kenshi, Kosuke Hata, Hirokazu Takahashi, et al.. (2020). Improvement of fatty acid productivity of thraustochytrid, Aurantiochytrium sp. by genome editing. Journal of Bioscience and Bioengineering. 131(4). 373–380. 17 indexed citations

Hata, Kosuke, Yoshihiro Izumi, Takeshi Hara, Masaki Matsumoto, & Takeshi Bamba. (2020). In-Line Sample Processing System with an Immobilized Trypsin-Packed Fused-Silica Capillary Tube for the Proteomic Analysis of a Small Number of Mammalian Cells. Analytical Chemistry. 92(4). 2997–3005. 15 indexed citations

Izumi, Yoshihiro, et al.. (2020). An Analytical System for Single-Cell Metabolomics of Typical Mammalian Cells Based on Highly Sensitive Nano-Liquid Chromatography Tandem Mass Spectrometry. Mass Spectrometry. 9(1). A0080–A0080. 30 indexed citations

Izumi, Yoshihiro, et al.. (2020). Nano-Liquid Chromatography Mass Spectrometry-Based Molecular and Phenotypic Analysis at Single-Cell Resolution. Journal of the Mass Spectrometry Society of Japan. 68(2). 44–48.

10.

Izumi, Yoshihiro, et al.. (2020). Dynamic Metabolome Analysis Reveals the Metabolic Fate of Medium-Chain Fatty Acids in AML12 Cells. Journal of Agricultural and Food Chemistry. 68(43). 11997–12010. 30 indexed citations

11.

Izumi, Yoshihiro, Fumio Matsuda, Akiyoshi Hirayama, et al.. (2019). Inter-Laboratory Comparison of Metabolite Measurements for Metabolomics Data Integration. Metabolites. 9(11). 257–257. 31 indexed citations

12.

Hara, Takeshi, Yoshihiro Izumi, Kosuke Hata, et al.. (2019). Performance of small-domain monolithic silica columns in nano-liquid chromatography and comparison with commercial packed bed columns with 2 µm particles. Journal of Chromatography A. 1616. 460804–460804. 16 indexed citations

13.

Hara, Takeshi, Yoshihiro Izumi, Motonao Nakao, et al.. (2018). Silica-based hybrid porous layers to enhance the retention and efficiency of open tubular capillary columns with a 5 μm inner diameter. Journal of Chromatography A. 1580. 63–71. 25 indexed citations

14.

Hizume, Kohji, Sumiko Araki, Kosuke Hata, et al.. (2011). Nano-scale analyses of the chromatin decompaction induced by histone acetylation. Archives of Histology and Cytology. 73(3). 149–163. 8 indexed citations

15.

Hata, Kosuke, Yoshikazu Nakayama, & Seiji Akita. (2009). Response of Carbon Nanotube Field Effect Transistors to Vibrating Gate Determined by Scanning Gate Microscopy. Japanese Journal of Applied Physics. 48(4S). 04C202–04C202. 7 indexed citations

16.

Sakai, Kenichi, et al.. (2004). Methanolysis investigation of commercially available polyurethane foam. Polymer Degradation and Stability. 86(1). 147–151. 40 indexed citations

17.

Nagakura, Toshikazu, et al.. (2000). Dietary supplementation with fish oil rich in omega-3 polyunsaturated fatty acids in children with bronchial asthma. European Respiratory Journal. 16(5). 861–865. 179 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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