M Itoh

671 total citations
39 papers, 480 citations indexed

About

M Itoh is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M Itoh has authored 39 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M Itoh's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). M Itoh is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). M Itoh collaborates with scholars based in Japan, United States and India. M Itoh's co-authors include Tomoyuki Nomura, Hitoshi Sano, Takahiro Nakazawa, Takashi Joh, Hitomi Ohara, Susumu Kobayashi, Tomoaki Ando, Tetsuji Okamoto, S. Aoki and Kaoru Inokuchi and has published in prestigious journals such as Gastroenterology, Diabetes Care and Scientific Reports.

In The Last Decade

M Itoh

37 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Itoh Japan 11 158 152 130 120 108 39 480
Julie Peltier France 12 73 0.5× 84 0.6× 49 0.4× 206 1.7× 122 1.1× 30 528
G Ramadori Germany 13 172 1.1× 247 1.6× 25 0.2× 75 0.6× 323 3.0× 44 666
Yanyuan Li China 13 137 0.9× 137 0.9× 17 0.1× 276 2.3× 74 0.7× 24 603
Alison Marker United Kingdom 14 354 2.2× 66 0.4× 35 0.3× 287 2.4× 26 0.2× 31 774
Min Lian China 14 116 0.7× 286 1.9× 36 0.3× 134 1.1× 189 1.8× 34 575
Cynthia L. Bone‐Larson United States 9 65 0.4× 118 0.8× 25 0.2× 112 0.9× 221 2.0× 10 617
Yiran Wei China 11 100 0.6× 182 1.2× 19 0.1× 77 0.6× 148 1.4× 27 393
Rainer Günther Germany 12 198 1.3× 434 2.9× 47 0.4× 82 0.7× 437 4.0× 30 818
P. Sanz-Cameno Spain 15 80 0.5× 411 2.7× 44 0.3× 170 1.4× 455 4.2× 29 764
Masato Nakai Japan 15 64 0.4× 302 2.0× 28 0.2× 102 0.8× 364 3.4× 56 598

Countries citing papers authored by M Itoh

Since Specialization
Citations

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

Fields of papers citing papers by M Itoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Itoh

This figure shows the co-authorship network connecting the top 25 collaborators of M Itoh. A scholar is included among the top collaborators of M Itoh 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 M Itoh. M Itoh 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.
Mineharu, Yohei, Yoshinori Tamada, M Itoh, et al.. (2024). Idiopathic pulmonary fibrosis-specific Bayesian network integrating extracellular vesicle proteome and clinical information. Scientific Reports. 14(1). 1315–1315. 4 indexed citations
2.
Nio, Masaki, et al.. (2024). P108-3 Oncology drug regimen prediction using machine learning for knowledge graph. Annals of Oncology. 35. S1401–S1401.
3.
Nagano, Nozomi, Masami Ikeda, Makoto Miwa, et al.. (2023). A novel corpus of molecular to higher-order events that facilitates the understanding of the pathogenic mechanisms of idiopathic pulmonary fibrosis. Scientific Reports. 13(1). 5986–5986.
4.
Kozawa, Satoshi, Masataka Kuroda, M Itoh, et al.. (2023). Latent inter-organ mechanism of idiopathic pulmonary fibrosis unveiled by a generative computational approach. Scientific Reports. 13(1). 21981–21981. 3 indexed citations
5.
Natsume‐Kitatani, Yayoi, et al.. (2022). Mouse tissue glycome atlas 2022 highlights inter-organ variation in major N-glycan profiles. Scientific Reports. 12(1). 17804–17804. 12 indexed citations
6.
Tripathi, Lokesh P., M Itoh, Yoshito Takeda, et al.. (2020). Integrative Analysis Reveals Common and Unique Roles of Tetraspanins in Fibrosis and Emphysema. Frontiers in Genetics. 11. 585998–585998. 4 indexed citations
7.
Takeda, Yoshito, Yohei Maeda, Takeshi Bamba, et al.. (2020). Metabolomic analysis of fibrotic mice combined with public RNA‐Seq human lung data reveal potential diagnostic biomarker candidates for lung fibrosis. FEBS Open Bio. 10(11). 2427–2436. 11 indexed citations
8.
Chen, Y. Ann, Lokesh P. Tripathi, Takeshi Fujiwara, et al.. (2019). The TargetMine Data Warehouse: Enhancement and Updates. Frontiers in Genetics. 10. 934–934. 17 indexed citations
9.
Okugawa, Yoshinaga, Yumiko Shirai, M Itoh, et al.. (2017). Objective Predictive Score as a Feasible Biomarker for Short-term Survival in TerminalIy Ill Patients with Cancer. Anticancer Research. 37(1). 267–276. 9 indexed citations
10.
Dong, Lingli, Ken Watanabe, M Itoh, et al.. (2012). CD4+ T-cell dysfunctions through the impaired lipid rafts ameliorate concanavalin A-induced hepatitis in sphingomyelin synthase 1-knockout mice. International Immunology. 24(5). 327–337. 35 indexed citations
11.
Nakazawa, Takahiro, Hitomi Ohara, Hitoshi Sano, et al.. (2005). Clinical differences between primary sclerosing cholangitis and sclerosing cholangitis with autoimmune pancreatitis.. Suizo. 20(2). 134–136. 135 indexed citations
12.
Yoshifuji, Hajime, Hisanori Umehara, M Itoh, et al.. (2005). Amelioration of experimental arthritis by a calpain-inhibitory compound: regulation of cytokine production by E-64-d in vivo and in vitro. International Immunology. 17(10). 1327–1336. 24 indexed citations
13.
Tohda, Yuji, et al.. (2002). Role of muscarinic acetylcholine receptors in a guinea pig model of asthma. International Immunopharmacology. 2(11). 1521–1527. 5 indexed citations
14.
Tohda, Yuji, et al.. (2001). Role of Chemical Mediators in Airway Hyperresponsiveness in an Asthmatic Model. Respiration. 68(1). 73–77. 13 indexed citations
15.
Mano, T, K Mori, Naohisa Oda, et al.. (1999). Accelerated Conversion of Dehydroepiandrosterone Sulfate to Estrogen in a Patient with Crow-Fukase Syndrome and Diabetes Mellitus. Endocrine Research. 25(3-4). 371–380. 1 indexed citations
17.
Shiio, Yasushi, M Itoh, & Jun Inoue. (1995). [33] Epitope tagging. Methods in enzymology on CD-ROM/Methods in enzymology. 254. 497–502. 6 indexed citations
18.
Itoh, M, et al.. (1992). [Effect of proton pump inhibitor, in combination with epidermal growth factor, on the healing of chronic gastric ulcer in submandibular gland removed rats].. PubMed. 50(1). 39–44. 1 indexed citations
19.
Itoh, M & Shusei Sato. (1991). Comparative studies on biotin-coupled components in adult worms of Paragonimus species. Kiseichūgaku zasshi. 40(4). 383–387. 5 indexed citations
20.
Inokuchi, Kaoru, M Itoh, & San-ichiro Mizushima. (1985). Domains involved in osmoregulation of the ompF gene in Escherichia coli. Journal of Bacteriology. 164(2). 585–590. 22 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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