Shuji Ikegami

1.7k total citations
46 papers, 1.4k citations indexed

About

Shuji Ikegami is a scholar working on Immunology, Molecular Biology and Food Science. According to data from OpenAlex, Shuji Ikegami has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 18 papers in Molecular Biology and 12 papers in Food Science. Recurrent topics in Shuji Ikegami's work include Probiotics and Fermented Foods (12 papers), Muscle metabolism and nutrition (10 papers) and Immune Response and Inflammation (7 papers). Shuji Ikegami is often cited by papers focused on Probiotics and Fermented Foods (12 papers), Muscle metabolism and nutrition (10 papers) and Immune Response and Inflammation (7 papers). Shuji Ikegami collaborates with scholars based in Japan, United States and Argentina. Shuji Ikegami's co-authors include Seiya Makino, Ito H, Hiroshi Horiuchi, Hajime Sasaki, Haruki Kitazawa, Hisashi Aso, Tadao Saito, Julio Villena, Yoshihito Suda and Tomoyuki Shimazu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Infection and Immunity.

In The Last Decade

Shuji Ikegami

46 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuji Ikegami Japan 20 673 530 346 214 203 46 1.4k
Xuefen Yang China 23 862 1.3× 375 0.7× 165 0.5× 233 1.1× 202 1.0× 90 1.8k
Manabu Kawase Japan 18 611 0.9× 591 1.1× 144 0.4× 172 0.8× 193 1.0× 32 1.1k
Catharina Wising Sweden 7 835 1.2× 259 0.5× 213 0.6× 158 0.7× 175 0.9× 9 1.5k
Janet Z. Liu United States 12 659 1.0× 252 0.5× 306 0.9× 298 1.4× 159 0.8× 13 1.5k
Zhihong Ren China 25 915 1.4× 219 0.4× 273 0.8× 141 0.7× 243 1.2× 105 1.9k
Shauna M. Crowley Canada 15 914 1.4× 336 0.6× 399 1.2× 255 1.2× 145 0.7× 19 1.7k
Empar Chenoll Spain 24 1.1k 1.6× 764 1.4× 210 0.6× 359 1.7× 292 1.4× 55 1.9k
Dulantha Ulluwishewa New Zealand 9 647 1.0× 260 0.5× 118 0.3× 209 1.0× 173 0.9× 13 1.3k
Akira Hosono Japan 22 845 1.3× 406 0.8× 413 1.2× 476 2.2× 245 1.2× 54 1.8k
María José Sáez‐Lara Spain 15 842 1.3× 366 0.7× 173 0.5× 305 1.4× 322 1.6× 28 1.5k

Countries citing papers authored by Shuji Ikegami

Since Specialization
Citations

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

Fields of papers citing papers by Shuji Ikegami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuji Ikegami

This figure shows the co-authorship network connecting the top 25 collaborators of Shuji Ikegami. A scholar is included among the top collaborators of Shuji Ikegami 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 Shuji Ikegami. Shuji Ikegami 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.
Nakayama, Kyosuke, Chiaki Sanbongi, & Shuji Ikegami. (2018). Effects of Whey Protein Hydrolysate Ingestion on Postprandial Aminoacidemia Compared with a Free Amino Acid Mixture in Young Men. Nutrients. 10(4). 507–507. 13 indexed citations
2.
Suzuki, Shuichi, Eduardo Campos‐Alberto, Yoshinori Morita, et al.. (2018). Low Interleukin 10 Production at Birth Is a Risk Factor for Atopic Dermatitis in Neonates with <b><i>Bifidobacterium</i></b> Colonization. International Archives of Allergy and Immunology. 177(4). 342–349. 15 indexed citations
3.
Sasai, Hiroyuki, Keisuke Ueda, Takehiko Tsujimoto, et al.. (2017). Dose-ranging pilot randomized trial of amino acid mixture combined with physical activity promotion for reducing abdominal fat in overweight adults. Diabetes Metabolic Syndrome and Obesity. Volume 10. 297–309. 10 indexed citations
4.
Ueda, Keisuke, Chiaki Sanbongi, & Shuji Ikegami. (2017). An arginine, alanine, and phenylalanine mixture increases synthesis of ketone bodies during low-intensity exercise via stimulating glucagon secretion in men with obesity. SHILAP Revista de lepidopterología. 6(5). 325–333. 1 indexed citations
5.
Ueda, Keisuke, et al.. (2017). Combination of aerobic exercise and an arginine, alanine, and phenylalanine mixture increases fat mobilization and ketone body synthesis. Bioscience Biotechnology and Biochemistry. 81(7). 1417–1424. 6 indexed citations
6.
7.
Suda, Yoshihito, Julio Villena, Yu Takahashi, et al.. (2014). Immunobiotic Lactobacillus jensenii as immune-health promoting factor to improve growth performance and productivity in post-weaning pigs. BMC Immunology. 15(1). 24–24. 42 indexed citations
8.
9.
Nishimura, Junko, Yasushi Kawai, Yoshiyuki Ito, et al.. (2013). Effect of Formic Acid on Exopolysaccharide Production in Skim Milk Fermentation by <i>Lactobacillus delbrueckii</i> subsp. <i>bulgaricus</i> OLL1073R-1. Bioscience of Microbiota Food and Health. 32(1). 23–32. 10 indexed citations
10.
Villena, Julio, Rie Suzuki, Hitomi Fujie, et al.. (2012). Immunobiotic Lactobacillus jensenii Modulates the Toll-Like Receptor 4-Induced Inflammatory Response via Negative Regulation in Porcine Antigen-Presenting Cells. Clinical and Vaccine Immunology. 19(7). 1038–1053. 70 indexed citations
11.
Shimazu, Tomoyuki, Julio Villena, Masanori Tohno, et al.. (2011). Immunobiotic Lactobacillus jensenii Elicits Anti-Inflammatory Activity in Porcine Intestinal Epithelial Cells by Modulating Negative Regulators of the Toll-Like Receptor Signaling Pathway. Infection and Immunity. 80(1). 276–288. 145 indexed citations
12.
Gotoh, Minoru, Toshihiro Sashihara, Shuji Ikegami, et al.. (2009). Efficacy of Oral Administration of a Heat-KilledLactobacillus gasseriOLL2809 on Patients of Japanese Cedar Pollinosis with High Japanese-Cedar Pollen-Specific IgE. Bioscience Biotechnology and Biochemistry. 73(9). 1971–1977. 22 indexed citations
13.
Sashihara, Toshihiro, et al.. (2007). Effect of growth conditions of Lactobacillus gasseri OLL2809 on the immunostimulatory activity for production of interleukin-12 (p70) by murine splenocytes. International Journal of Food Microbiology. 120(3). 274–281. 40 indexed citations
14.
Ikegami, Shuji, Naoki Nakata, Makoto Nakano, et al.. (2004). Regulation of bone metabolism in immunosuppressant (FK506)-treated rats. Journal of Bone and Mineral Metabolism. 22(6). 554–560. 37 indexed citations
15.
Tabata, Yuji, Shuji Ikegami, Takashi Yaguchi, et al.. (1999). Diazaphilonic Acid, a New Azaphilone with Telomerase Inhibitory Activity.. The Journal of Antibiotics. 52(4). 412–414. 34 indexed citations
16.
Nakamura, Shuji, et al.. (1989). Mouse Ly-31.1 is an alloantigenic determinant of alkaline phosphatase predominantly expressed in the kidney and bone. Immunogenetics. 29(4). 235–240. 4 indexed citations
17.
Ikegami, Shuji, et al.. (1988). Relationship between mouse Ly-2 and the Mus musculus molossinus-specific Ly-35 alloantigenic determinants. Immunogenetics. 28(5). 382–384. 2 indexed citations
18.
Tada, Nobuhiko, et al.. (1988). Different reactivities of monoclonal antibodies to ganglioside lactones. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 958(1). 134–138. 19 indexed citations
19.
20.
Tada, Nobuhiko, et al.. (1986). A new mouse lymphocyte alloantigen (Ly-28) defined by monoclonal antibodies. Immunogenetics. 24(4). 275–277. 3 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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