Hiroshi Tsugawa

12.1k total citations · 5 hit papers
71 papers, 6.6k citations indexed

About

Hiroshi Tsugawa is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Hiroshi Tsugawa has authored 71 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 28 papers in Spectroscopy and 10 papers in Biomedical Engineering. Recurrent topics in Hiroshi Tsugawa's work include Metabolomics and Mass Spectrometry Studies (55 papers), Analytical Chemistry and Chromatography (14 papers) and Advanced Proteomics Techniques and Applications (14 papers). Hiroshi Tsugawa is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (55 papers), Analytical Chemistry and Chromatography (14 papers) and Advanced Proteomics Techniques and Applications (14 papers). Hiroshi Tsugawa collaborates with scholars based in Japan, United States and Saudi Arabia. Hiroshi Tsugawa's co-authors include Masanori Arita, Oliver Fiehn, Tobias Kind, Tomáš Čajka, Kazutaka Ikeda, Mitsuhiro Kanazawa, Yan Ma, Brendan T. Higgins, Jean S. VanderGheynst and Eiichiro Fukusaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Hiroshi Tsugawa

68 papers receiving 6.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis

2015 2.3k citations Hiroshi Tsugawa, Tomáš Čajka et al. Nature Methods profile →
A lipidome atlas in MS-DIAL 4

2020 550 citations Hiroshi Tsugawa, Kazutaka Ikeda et al. profile →
Hydrogen Rearrangement Rules: Computational MS/MS Fragmentation and Structure Elucidation Using MS-FINDER Software

2016 496 citations Hiroshi Tsugawa, Tobias Kind et al. Analytical Chemistry profile →
Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics

2017 412 citations Zijuan Lai, Hiroshi Tsugawa et al. Nature Methods profile →
Identification of small molecules using accurate mass MS/MS search

2017 342 citations Tobias Kind, Hiroshi Tsugawa et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hiroshi Tsugawa Japan	31	4.6k	1.6k	867	838	541	71	6.6k
Christophe Junot France	40	3.4k 0.7×	1.0k 0.7×	804 0.9×	575 0.7×	359 0.7×	125	5.9k
Helen Gika Greece	40	4.7k 1.0×	2.2k 1.4×	384 0.4×	1.1k 1.3×	516 1.0×	178	7.0k
Colin A. Smith United States	20	5.4k 1.2×	1.8k 1.1×	646 0.7×	847 1.0×	322 0.6×	56	7.2k
Takeshi Bamba Japan	50	4.8k 1.0×	2.0k 1.3×	809 0.9×	1.1k 1.4×	1.0k 1.9×	293	8.2k
Steffen Neumann Germany	35	6.1k 1.3×	2.8k 1.7×	916 1.1×	1.3k 1.6×	367 0.7×	90	8.1k
Tomáš Čajka Czechia	46	5.7k 1.2×	2.7k 1.7×	978 1.1×	1.3k 1.6×	1.6k 2.9×	113	10.0k
Tomáš Pluskal United States	25	3.4k 0.7×	836 0.5×	794 0.9×	482 0.6×	262 0.5×	45	5.0k
Robert S. Plumb United Kingdom	50	6.6k 1.4×	4.4k 2.8×	545 0.6×	1.7k 2.0×	740 1.4×	160	10.0k
Sandra Castillo Finland	15	2.7k 0.6×	843 0.5×	456 0.5×	500 0.6×	317 0.6×	27	3.9k
Silas G. Villas‐Bôas New Zealand	41	3.3k 0.7×	875 0.6×	750 0.9×	878 1.0×	998 1.8×	122	5.5k

Countries citing papers authored by Hiroshi Tsugawa

Since Specialization

Citations

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

Fields of papers citing papers by Hiroshi Tsugawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Tsugawa

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tsugawa, Hiroshi, Satoshi Kimura, Akihisa Matsuyama, et al.. (2025). Formation of giant ER sheets by pentadecanoic acid causes lipotoxicity in fission yeast. Proceedings of the National Academy of Sciences. 122(22). e2422126122–e2422126122.

Takeda, Hiroaki, Mami Okamoto, Hidenori Takahashi, et al.. (2025). Dual fragmentation via collision-induced and oxygen attachment dissociations using water and its radicals for C=C position-resolved lipidomics. Communications Chemistry. 8(1). 148–148. 1 indexed citations

Tsugawa, Hiroshi, et al.. (2025). Transcriptomic and lipidomic analysis of aging-associated inflammatory signature in mouse liver. Inflammation and Regeneration. 45(1). 13–13. 1 indexed citations

Wang, Mengyao, Kinuka Ohtaka, Ayuko Kuwahara, et al.. (2024). The phosphorylated pathway of serine biosynthesis affects sperm, embryo, and sporophyte development, and metabolism in Marchantia polymorpha. Communications Biology. 7(1). 102–102. 5 indexed citations

Sasaki, Shogo, et al.. (2023). Mechanism of rate controllability of water-soluble bifunctional cyclooctadiynes through cation-anion interactions. Chemical Communications. 59(44). 6678–6681. 1 indexed citations

Uesaka, Kazuma, Hiroya Oka, Ryuji Kato, et al.. (2022). Bioinformatics in bioscience and bioengineering: Recent advances, applications, and perspectives. Journal of Bioscience and Bioengineering. 134(5). 363–373. 39 indexed citations

Mori, Tetsuya, Amit Rai, Hiroshi Tsugawa, Yutaka Yamada, & Kazuki Saito. (2022). A liquid chromatography-mass spectrometry-based metabolomics strategy to explore plant metabolic diversity. Methods in enzymology on CD-ROM/Methods in enzymology. 680. 247–273. 2 indexed citations

Uchino, Haruki, Hiroshi Tsugawa, Hidenori Takahashi, & Makoto Arita. (2022). Computational mass spectrometry accelerates C = C position-resolved untargeted lipidomics using oxygen attachment dissociation. Communications Chemistry. 5(1). 162–162. 7 indexed citations

Zhang, Pei, Christopher Carlsten, Romanas Chaleckis, et al.. (2021). Defining the Scope of Exposome Studies and Research Needs from a Multidisciplinary Perspective. Environmental Science & Technology Letters. 8(10). 839–852. 96 indexed citations

10.

Koelmel, Jeremy P., Xiangdong Li, Sarah M. Stow, et al.. (2020). Lipid Annotator: Towards Accurate Annotation in Non-Targeted Liquid Chromatography High-Resolution Tandem Mass Spectrometry (LC-HRMS/MS) Lipidomics Using a Rapid and User-Friendly Software. Metabolites. 10(3). 101–101. 72 indexed citations

11.

Tada, I., Romanas Chaleckis, Hiroshi Tsugawa, et al.. (2020). Correlation-Based Deconvolution (CorrDec) To Generate High-Quality MS2 Spectra from Data-Independent Acquisition in Multisample Studies. Analytical Chemistry. 92(16). 11310–11317. 44 indexed citations

12.

Okahashi, Nobuyuki, Hiroshi Tsugawa, Yusuke Ogata, et al.. (2020). Elucidation of Gut Microbiota-Associated Lipids Using LC-MS/MS and 16S rRNA Sequence Analyses. iScience. 23(12). 101841–101841. 46 indexed citations

13.

Tada, I., Hiroshi Tsugawa, Isabel Meister, et al.. (2019). Creating a Reliable Mass Spectral–Retention Time Library for All Ion Fragmentation-Based Metabolomics. Metabolites. 9(11). 251–251. 30 indexed citations

14.

Tsugawa, Hiroshi, Aya Satoh, Haruki Uchino, et al.. (2019). Mass Spectrometry Data Repository Enhances Novel Metabolite Discoveries with Advances in Computational Metabolomics. Metabolites. 9(6). 119–119. 38 indexed citations

15.

Tsugawa, Hiroshi, Ryo Nakabayashi, Tetsuya Mori, et al.. (2019). A cheminformatics approach to characterize metabolomes in stable-isotope-labeled organisms. Nature Methods. 16(4). 295–298. 208 indexed citations

16.

Tsugawa, Hiroshi. (2018). Advances in computational metabolomics and databases deepen the understanding of metabolisms. Current Opinion in Biotechnology. 54. 10–17. 59 indexed citations

17.

Lai, Zijuan, Hiroshi Tsugawa, Gert Wohlgemuth, et al.. (2017). Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics. Nature Methods. 15(1). 53–56. 412 indexed citations breakdown →

18.

Tsugawa, Hiroshi, Yoshihiro Izumi, Atsushi Ogiwara, et al.. (2015). MRM-DIFF: data processing strategy for differential analysis in large scale MRM-based lipidomics studies. Frontiers in Genetics. 5. 471–471. 29 indexed citations

19.

Kawamata, Tomoko, Tetsuro Horie, Hiroshi Tsugawa, et al.. (2014). Bulk RNA degradation by nitrogen starvation‐induced autophagy in yeast. The EMBO Journal. 34(2). 154–168. 99 indexed citations

20.

Tsugawa, Hiroshi, et al.. (2013). Highly sensitive and selective analysis of widely targeted metabolomics using gas chromatography/triple-quadrupole mass spectrometry. Journal of Bioscience and Bioengineering. 117(1). 122–128. 48 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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