Masaru Yoshida

12.1k total citations · 2 hit papers
261 papers, 9.5k citations indexed

About

Masaru Yoshida is a scholar working on Surgery, Molecular Biology and Immunology. According to data from OpenAlex, Masaru Yoshida has authored 261 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Surgery, 78 papers in Molecular Biology and 48 papers in Immunology. Recurrent topics in Masaru Yoshida's work include Metabolomics and Mass Spectrometry Studies (43 papers), Helicobacter pylori-related gastroenterology studies (42 papers) and Liver Disease Diagnosis and Treatment (25 papers). Masaru Yoshida is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (43 papers), Helicobacter pylori-related gastroenterology studies (42 papers) and Liver Disease Diagnosis and Treatment (25 papers). Masaru Yoshida collaborates with scholars based in Japan, United States and United Kingdom. Masaru Yoshida's co-authors include Takeshi Azuma, Shin Nishiumi, Richard S. Blumberg, Hiromu Kutsumi, Wayne I. Lencer, Eiichiro Fukusaki, Takeshi Bamba, Masakazu Shinohara, Tomoo Yoshie and Takashi Kobayashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Masaru Yoshida

253 papers receiving 9.4k citations

Hit 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.

Nonclassical CD1d-restricted NK T cells that produce IL-13 characterize an atypical Th2 response in ulcerative colitis

2004 600 citations Ivan J. Fuss, Frank Heller et al. Journal of Clinical Investigation profile →
Tumor resistance to ferroptosis driven by Stearoyl-CoA Desaturase-1 (SCD1) in cancer cells and Fatty Acid Biding Protein-4 (FABP4) in tumor microenvironment promote tumor recurrence

2021 183 citations Géraldine Luis, Shin Nishiumi et al. Redox Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masaru Yoshida Japan	53	3.7k	2.3k	1.9k	1.1k	1.1k	261	9.5k
Qizhi Yao United States	59	4.8k 1.3×	1.4k 0.6×	1.3k 0.7×	1.6k 1.4×	895 0.8×	215	11.8k
D. Brent Polk United States	51	3.8k 1.0×	1.4k 0.6×	1.9k 1.0×	644 0.6×	661 0.6×	117	8.2k
Soichiro Miura Japan	49	2.5k 0.7×	2.1k 0.9×	3.5k 1.8×	1.3k 1.1×	1.5k 1.3×	343	9.9k
Sheila E. Crowe United States	45	2.4k 0.7×	2.7k 1.2×	4.7k 2.4×	1.0k 0.9×	1.2k 1.1×	107	10.2k
Alastair J.M. Watson United Kingdom	49	3.9k 1.0×	1.2k 0.5×	1.5k 0.8×	1.1k 0.9×	507 0.5×	122	8.6k
Hiromasa Ishii Japan	54	3.3k 0.9×	2.1k 0.9×	2.7k 1.4×	2.7k 2.4×	725 0.7×	462	11.8k
Srinivasa T. Reddy United States	67	4.5k 1.2×	2.4k 1.0×	4.4k 2.3×	1.6k 1.4×	738 0.7×	245	15.7k
Christian Jobin United States	48	5.1k 1.4×	2.7k 1.2×	1.3k 0.7×	1.2k 1.1×	344 0.3×	85	9.7k
Christian Jobin United States	53	6.4k 1.7×	1.7k 0.8×	1.5k 0.8×	883 0.8×	554 0.5×	160	10.2k
Dermot Kelleher Ireland	56	2.4k 0.7×	2.4k 1.0×	2.3k 1.2×	1.8k 1.6×	845 0.8×	228	9.9k

Countries citing papers authored by Masaru Yoshida

Since Specialization

Citations

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

Fields of papers citing papers by Masaru Yoshida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaru Yoshida

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

All Works

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20 of 20 papers shown

Nishiumi, Shin, et al.. (2023). Metabolome Analysis of the Effects of Sake Lees on Adipocyte Differentiation and Lipid Accumulation. Fermentation. 9(3). 300–300. 1 indexed citations

Luis, Géraldine, Shin Nishiumi, Jonathan Cimino, et al.. (2021). Tumor resistance to ferroptosis driven by Stearoyl-CoA Desaturase-1 (SCD1) in cancer cells and Fatty Acid Biding Protein-4 (FABP4) in tumor microenvironment promote tumor recurrence. Redox Biology. 43. 102006–102006. 183 indexed citations breakdown →

Yamamoto, Koji, Yasuyuki Kondo, Shunsuke Ohnishi, et al.. (2021). The TLR4–TRIF–type 1 IFN–IFN-γ pathway is crucial for gastric MALT lymphoma formation after Helicobacter suis infection. iScience. 24(9). 103064–103064. 5 indexed citations

Nishiumi, Shin, Yoshihiro Izumi, Takashi Kobayashi, & Masaru Yoshida. (2019). A Pilot Study: Effects of Kombu Intake on Lifestyle-related Diseases -Possibility that Kombu Intake is Effective in Individuals with Abnormally High Serum Triglyceride Levels-. Food Science and Technology Research. 25(6). 827–834. 6 indexed citations

Katagiri, Ryoko, Atsushi Goto, Takashi Nakagawa, et al.. (2018). Increased Levels of Branched-Chain Amino Acid Associated With Increased Risk of Pancreatic Cancer in a Prospective Case–Control Study of a Large Cohort. Gastroenterology. 155(5). 1474–1482.e1. 61 indexed citations

Kurosawa, Manabu, Toshihiro Takamatsu, Hiroaki Kawano, et al.. (2018). Endoscopic Hemostasis in Porcine Gastrointestinal Tract Using CO2 Low-Temperature Plasma Jet. Journal of Surgical Research. 234. 334–342. 22 indexed citations

Nobutani, Kentaro, Jun Miyoshi, Mark W. Musch, et al.. (2017). Daikenchuto (TU‐100) alters murine hepatic and intestinal drug metabolizing enzymes in an in vivo dietary model: effects of gender and withdrawal. Pharmacology Research & Perspectives. 5(5). 4 indexed citations

Takamatsu, Toshihiro, Hiroaki Kawano, Hidekazu Miyahara, et al.. (2017). Investigation of blood coagulation effect of nonthermal multigas plasma jet in vitro and in vivo. Journal of Surgical Research. 219. 302–309. 47 indexed citations

Nishiumi, Shin, Makoto Suzuki, Takashi Kobayashi, & Masaru Yoshida. (2017). Differences in metabolite profiles caused by pre-analytical blood processing procedures. Journal of Bioscience and Bioengineering. 125(5). 613–618. 34 indexed citations

10.

Kobayashi, Takashi, Shin Nishiumi, Atsuki Ikeda, et al.. (2013). A Novel Serum Metabolomics-Based Diagnostic Approach to Pancreatic Cancer. Cancer Epidemiology Biomarkers & Prevention. 22(4). 571–579. 137 indexed citations

11.

Nishiumi, Shin, Takeshi Fujita, Koichi Morimoto, et al.. (2013). Serum and tissue metabolomics of head and neck cancer.. PubMed. 10(5). 233–8. 62 indexed citations

12.

Inoue, Jun, Shin Nishiumi, Atsuhiro Masuda, et al.. (2012). Autophagy in the intestinal epithelium regulates Citrobacter rodentium infection. Archives of Biochemistry and Biophysics. 521(1-2). 95–101. 36 indexed citations

13.

Yahara, Koji, Mikihiko Kawai, Yoshikazu Furuta, et al.. (2012). Genome-Wide Survey of Mutual Homologous Recombination in a Highly Sexual Bacterial Species. Genome Biology and Evolution. 4(5). 628–640. 32 indexed citations

14.

Masuda, Atsuhiro, Shin Nishiumi, Kazuyuki Kawakami, et al.. (2011). AP1B plays an important role in intestinal tumorigenesis with the truncating mutation of an APC gene. International Journal of Cancer. 130(5). 1011–1020. 10 indexed citations

15.

Kuroda, D., H. Hanayama, Junichiro Watanabe, et al.. (2010). GRB100901A: IAO optical upper limits at 4 days after the burst.. GCN. 11258. 1. 1 indexed citations

16.

Toyonaga, Takashi, M. Man-i, Tsuyoshi Fujita, et al.. (2010). The performance of a novel ball‐tipped Flush knife for endoscopic submucosal dissection: a case–control study. Alimentary Pharmacology & Therapeutics. 32(7). 908–915. 75 indexed citations

17.

Masuda, Atsuhiro, Masaru Yoshida, Hideyuki Shiomi, et al.. (2009). Role of Fc Receptors as a Therapeutic Target. Inflammation & Allergy - Drug Targets. 8(1). 80–86. 26 indexed citations

18.

Arita, Makoto, Masaru Yoshida, Song Hong, et al.. (2005). Resolvin E1, an endogenous lipid mediator derived from omega-3 eicosapentaenoic acid, protects against 2,4,6-trinitrobenzene sulfonic acid-induced colitis. Proceedings of the National Academy of Sciences. 102(21). 7671–7676. 477 indexed citations

19.

Fuss, Ivan J., Frank Heller, Monica Boirivant, et al.. (2004). Nonclassical CD1d-restricted NK T cells that produce IL-13 characterize an atypical Th2 response in ulcerative colitis. Journal of Clinical Investigation. 113(10). 1490–1497. 600 indexed citations breakdown →

20.

Nieuwenhuis, Edward E. S., Markus F. Neurath, Nadia Corazza, et al.. (2002). Disruption of T helper 2-immune responses in Epstein–Barr virus-induced gene 3-deficient mice. Proceedings of the National Academy of Sciences. 99(26). 16951–16956. 151 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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