Masaki Ikemoto

955 total citations
40 papers, 808 citations indexed

About

Masaki Ikemoto is a scholar working on Molecular Biology, Clinical Biochemistry and Immunology. According to data from OpenAlex, Masaki Ikemoto has authored 40 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Clinical Biochemistry and 11 papers in Immunology. Recurrent topics in Masaki Ikemoto's work include S100 Proteins and Annexins (14 papers), Metabolism and Genetic Disorders (13 papers) and Immune Response and Inflammation (7 papers). Masaki Ikemoto is often cited by papers focused on S100 Proteins and Annexins (14 papers), Metabolism and Genetic Disorders (13 papers) and Immune Response and Inflammation (7 papers). Masaki Ikemoto collaborates with scholars based in Japan, Australia and United States. Masaki Ikemoto's co-authors include Masatoshi Fujita, Hiroshi Murayama, Masayuki Totani, Hiroshi Itoh, Fumio Terasaki, Ryuji Nohara, Atsuo Nagata, Shunichi Tamaki, Yoshihiro Fukuda and Kohki Okada and has published in prestigious journals such as Circulation, Biochemical Journal and International Journal of Molecular Sciences.

In The Last Decade

Masaki Ikemoto

39 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masaki Ikemoto Japan 17 428 197 177 119 113 40 808
Hiroshi Ohkawara Japan 19 324 0.8× 254 1.3× 180 1.0× 83 0.7× 134 1.2× 59 954
Atsuyuki Nakata Japan 11 430 1.0× 280 1.4× 97 0.5× 120 1.0× 246 2.2× 14 808
Monica Locatelli Italy 18 325 0.8× 317 1.6× 68 0.4× 107 0.9× 202 1.8× 33 1.1k
Minoru Tozuka Japan 20 560 1.3× 147 0.7× 99 0.6× 87 0.7× 360 3.2× 101 1.2k
Seung Hee Lee South Korea 10 294 0.7× 100 0.5× 99 0.6× 161 1.4× 110 1.0× 19 832
Matthew Gage United Kingdom 16 390 0.9× 259 1.3× 114 0.6× 184 1.5× 171 1.5× 32 972
Manal Zabalawi United States 17 346 0.8× 269 1.4× 78 0.4× 161 1.4× 304 2.7× 22 810
Tamás Seres United States 17 352 0.8× 166 0.8× 181 1.0× 95 0.8× 156 1.4× 45 992
Hideto Ishii Japan 14 350 0.8× 129 0.7× 86 0.5× 165 1.4× 274 2.4× 23 893
Li Song China 17 346 0.8× 125 0.6× 250 1.4× 79 0.7× 172 1.5× 69 827

Countries citing papers authored by Masaki Ikemoto

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Ikemoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Ikemoto

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Ikemoto. A scholar is included among the top collaborators of Masaki Ikemoto 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 Masaki Ikemoto. Masaki Ikemoto 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.
Ikemoto, Masaki, et al.. (2024). Intraperitoneal Administration of S100A8 Ameliorates Experimental Acute Colitis in Rats. Biology. 13(11). 916–916. 2 indexed citations
2.
Kotani, Takuya, et al.. (2022). Human MIKO-1, a Hybrid Protein That Regulates Macrophage Function, Suppresses Lung Fibrosis in a Mouse Model of Bleomycin-Induced Interstitial Lung Disease. International Journal of Molecular Sciences. 23(17). 9669–9669. 3 indexed citations
3.
4.
Okada, Kohki, Hiroshi Itoh, & Masaki Ikemoto. (2021). Serum complement C3 and α2-macroglobulin are potentially useful biomarkers for inflammatory bowel disease patients. Heliyon. 7(3). e06554–e06554. 10 indexed citations
5.
Okada, Kohki, et al.. (2019). Serum S100A8/A9 as a Potentially Sensitive Biomarker for Inflammatory Bowel Disease. Laboratory Medicine. 50(4). 370–380. 31 indexed citations
6.
Otsuka, Kaoru, Fumio Terasaki, Masaki Ikemoto, et al.. (2009). Suppression of Inflammation in Rat Autoimmune Myocarditis by S100A8/A9 Through Modulation of the Proinflammatory Cytokine Network. European Journal of Heart Failure. 11(3). 229–237. 48 indexed citations
7.
Murayama, Hiroshi, Masaki Ikemoto, & Masaru Hamaoki. (2009). Serum ornithine carbamyltransferase reflects hepatic damage in diabetic obese mice. Journal of Gastroenterology and Hepatology. 25(2). 413–419. 1 indexed citations
8.
9.
Ozawa, Tatsuhiko, Shinichi Kadowaki, Kazuto Tajiri, et al.. (2008). MAC-CCD system: a novel lymphocyte microwell-array chip system equipped with CCD scanner to generate human monoclonal antibodies against influenza virus. Lab on a Chip. 9(1). 158–163. 25 indexed citations
10.
Murayama, Hiroshi, Masaki Ikemoto, & Masaru Hamaoki. (2008). Ornithine carbamyltransferase is a sensitive marker for alcohol-induced liver injury. Clinica Chimica Acta. 401(1-2). 100–104. 17 indexed citations
11.
Miyamoto, Shoichi, Makiko Ueda, Masaki Ikemoto, et al.. (2008). Increased serum levels and expression of S100A8/A9 complex in infiltrated neutrophils in atherosclerotic plaque of unstable angina. Heart. 94(8). 1002–1007. 52 indexed citations
12.
Ikemoto, Masaki, Hiroshi Murayama, Hiroshi Itoh, Masayuki Totani, & Masatoshi Fujita. (2006). Intrinsic function of S100A8/A9 complex as an anti-inflammatory protein in liver injury induced by lipopolysaccharide in rats. Clinica Chimica Acta. 376(1-2). 197–204. 48 indexed citations
13.
Murayama, Hiroshi, Masaki Ikemoto, Yoshihiro Fukuda, Shoji Tsunekawa, & Atsuo Nagata. (2006). Advantage of serum type-I arginase and ornithine carbamoyltransferase in the evaluation of acute and chronic liver damage induced by thioacetamide in rats. Clinica Chimica Acta. 375(1-2). 63–68. 36 indexed citations
14.
Murayama, Hiroshi, Makoto Igarashi, Masataka Mori, et al.. (2006). A sensitive ELISA for serum ornithine carbamoyltransferase utilizing the enhancement of immunoreactivity at alkaline pH. Clinica Chimica Acta. 368(1-2). 125–130. 10 indexed citations
15.
Fujita, Masatoshi, Keiichi Tambara, Masaki Ikemoto, et al.. (2006). Periodic acceleration enhances release of nitric oxide in healthy adults. International Journal of Angiology. 14(1). 11–14. 13 indexed citations
16.
Fujita, Masatoshi, Keiichi Tambara, Masaki Ikemoto, et al.. (2005). Periodic acceleration enhances release of nitric oxide in healthy adults. International Journal of Angiology. 14(1). 11–14. 1 indexed citations
17.
Miyamoto, Shoichi, Koji Hasegawa, Masaki Ikemoto, et al.. (2002). Increased Serum Levels of Myeloid-related Protein Is a Sensitive Marker for Acute Coronary Syndrome in Patients With Coronary Artery Disease. Japanese Circulation Journal-english Edition. 66. 127. 1 indexed citations
18.
Ikemoto, Masaki, Koji Hasegawa, Yasuki Kihara, et al.. (1999). Development of enzyme-linked immunosorbent assay for acidic fibroblast growth factor and its clinical application. Clinica Chimica Acta. 283(1-2). 171–182. 8 indexed citations
19.
Suzuki, H., et al.. (1993). Effects of prostaglandin E1 on the production of IgM and IgG class anti-dsDNA antibodies in NZB/W F1 mice.. PubMed. 20(10). 1701–6. 6 indexed citations
20.
Hayakawa, Chiemi, S. Aono, Hiroomi Keino, et al.. (1991). Absence of erythrocyte arginase protein in Japanese patients with hyperargininemia. European Journal of Pediatrics. 150(11). 800–803. 2 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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