Yusuke Kawashima

2.4k total citations
86 papers, 1.4k citations indexed

About

Yusuke Kawashima is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Yusuke Kawashima has authored 86 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 28 papers in Spectroscopy and 13 papers in Physiology. Recurrent topics in Yusuke Kawashima's work include Advanced Proteomics Techniques and Applications (27 papers), Mass Spectrometry Techniques and Applications (17 papers) and Metabolomics and Mass Spectrometry Studies (12 papers). Yusuke Kawashima is often cited by papers focused on Advanced Proteomics Techniques and Applications (27 papers), Mass Spectrometry Techniques and Applications (17 papers) and Metabolomics and Mass Spectrometry Studies (12 papers). Yusuke Kawashima collaborates with scholars based in Japan, United States and Malaysia. Yusuke Kawashima's co-authors include Osamu Ohara, Yoshio Kodera, Daisuke Nakajima, Fumio Nomura, Tadakazu Maeda, Hiroyuki Matsumoto, Mamoru Satoh, Ryo Konno, Makoto Arita and Jun Miyata and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Analytical Chemistry.

In The Last Decade

Yusuke Kawashima

80 papers receiving 1.4k citations

Peers

Yusuke Kawashima
Yusuke Kawashima
Citations per year, relative to Yusuke Kawashima Yusuke Kawashima (= 1×) peers Yoshio Kodera

Countries citing papers authored by Yusuke Kawashima

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Kawashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Kawashima

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke Kawashima. A scholar is included among the top collaborators of Yusuke Kawashima 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 Yusuke Kawashima. Yusuke Kawashima 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.
Konno, Ryo, et al.. (2025). Thin-diaPASEF: diaPASEF for maximizing proteome coverage in single-shot proteomics. DNA Research. 32(4). 1 indexed citations
2.
Yazaki, Junshi, Shino Nemoto, Yong-Woon Han, et al.. (2024). Mapping adipocyte interactome networks by HaloTag-enrichment-mass spectrometry. Biology Methods and Protocols. 9(1). bpae039–bpae039. 1 indexed citations
3.
Miyata, Jun, Yusuke Kawashima, Ryo Konno, et al.. (2024). Inflammatory profile of eosinophils in asthma-COPD overlap and eosinophilic COPD: a multi-omics study. Frontiers in Immunology. 15. 1445769–1445769. 5 indexed citations
4.
Miyata, Jun, Yusuke Kawashima, Ryo Konno, et al.. (2024). Multiomics analysis identified IL-4–induced IL1RL1high eosinophils characterized by prominent cysteinyl leukotriene metabolism. Journal of Allergy and Clinical Immunology. 154(5). 1277–1288. 6 indexed citations
5.
Queiroz, Rafaela Muniz de, Naoko Hashimoto, Yusuke Kawashima, et al.. (2024). Mdm2 requires Sprouty4 to regulate focal adhesion formation and metastasis independent of p53. Nature Communications. 15(1). 5 indexed citations
6.
Sasaki, Hisashi, Jun Miyata, Yusuke Kawashima, et al.. (2024). Aspergillus fumigatus extract modulates human eosinophils via NOD2 and oxidative stress. Allergology International. 74(1). 156–165. 1 indexed citations
7.
Konno, Ryo, Masahito Yoshihara, Atsushi Ito, et al.. (2024). Host-derived protein profiles of human neonatal meconium across gestational ages. Nature Communications. 15(1). 5543–5543. 2 indexed citations
8.
Konno, Ryo, M. Ishikawa, Daisuke Nakajima, et al.. (2024). Universal Pretreatment Development for Low-input Proteomics Using Lauryl Maltose Neopentyl Glycol. Molecular & Cellular Proteomics. 23(4). 100745–100745. 10 indexed citations
9.
Takemori, Ayako, Philipp T. Kaulich, Ryo Konno, et al.. (2023). GeLC‐FAIMS‐MS workflow for in‐depth middle‐down proteomics. PROTEOMICS. 24(3-4). e2200431–e2200431. 8 indexed citations
10.
Sato, Hironori, Yuzaburo Inoue, Yusuke Kawashima, et al.. (2023). In-depth proteomic analysis of juvenile dermatomyositis serum reveals protein expression associated with muscle-specific autoantibodies. Lara D. Veeken. 62(10). 3501–3506. 4 indexed citations
11.
Endo, Yusuke, Toshio Kanno, Kazutaka Ikeda, et al.. (2023). 1-Oleoyl-lysophosphatidylethanolamine stimulates RORγt activity in T H 17 cells. Science Immunology. 8(86). eadd4346–eadd4346. 22 indexed citations
12.
Sato, Hironori, Yuzaburo Inoue, Yusuke Kawashima, et al.. (2022). In-Depth Serum Proteomics by DIA-MS with In Silico Spectral Libraries Reveals Dynamics during the Active Phase of Systemic Juvenile Idiopathic Arthritis. ACS Omega. 7(8). 7012–7023. 10 indexed citations
13.
Nakajima, Daisuke, et al.. (2021). A Simple Method for In-Depth Proteome Analysis of Mammalian Cell Culture Conditioned Media Containing Fetal Bovine Serum. International Journal of Molecular Sciences. 22(5). 2565–2565. 12 indexed citations
14.
Takemori, Ayako, Yusuke Kawashima, & Nobuaki Takemori. (2021). Bottom-up/cross-linking mass spectrometry via simplified sample processing on anion-exchange solid-phase extraction spin column. Chemical Communications. 58(6). 775–778. 10 indexed citations
15.
Hashimoto, Akiko, Yusuke Kawashima, Machie Sakuma, et al.. (2019). Inhibition of T cell activation and function by the adaptor protein CIN85. Science Signaling. 12(567). 15 indexed citations
16.
Mizusawa, Kanta, Yusuke Kawashima, Akie Hamamoto, et al.. (2014). Involvement of melanin-concentrating hormone 2 in background color adaptation of barfin flounder Verasper moseri. General and Comparative Endocrinology. 214. 140–148. 11 indexed citations
17.
Kawashima, Yusuke, et al.. (2013). Artificial Diet for Larvae of the Mushroom Fly Neoempheria ferruginea and Determination of Larval Instars by Head Capsule Widths. Japanese Journal of Applied Entomology and Zoology. 57(2). 79–84. 1 indexed citations
18.
Kawashima, Yusuke, et al.. (2012). Effects of Shiitake Mycelial Block Conditions, Day-Length, and Temperature on the Development of Neoempheria ferruginea (Brunetti) (Diptera: Mycetophilidae). Japanese Journal of Applied Entomology and Zoology. 56(1). 1–7. 4 indexed citations
19.
Sogawa, Kazuyuki, Yoshio Kodera, Mamoru Satoh, et al.. (2010). Increased Serum Levels of Pigment Epithelium-Derived Factor by Excessive Alcohol Consumption-Detection and Identification by a Three-Step Serum Proteome Analysis. Alcoholism Clinical and Experimental Research. 35(2). 211–217. 19 indexed citations
20.
Nagai, Chifumi, et al.. (2005). Caffeine content distribution among Mascarocoffea species in Madagascar.. 154–160. 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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