Junji Hoshiba

478 total citations
11 papers, 409 citations indexed

About

Junji Hoshiba is a scholar working on Nutrition and Dietetics, Molecular Biology and Physiology. According to data from OpenAlex, Junji Hoshiba has authored 11 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nutrition and Dietetics, 4 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Junji Hoshiba's work include Fatty Acid Research and Health (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Adipose Tissue and Metabolism (3 papers). Junji Hoshiba is often cited by papers focused on Fatty Acid Research and Health (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Adipose Tissue and Metabolism (3 papers). Junji Hoshiba collaborates with scholars based in Japan, United States and South Korea. Junji Hoshiba's co-authors include Sun‐Young Lim, Norman Salem, Toru Moriguchi, I. M. Fedorova, Norman Salem, Nahed Hussein, Sharon Majchrzak, Masako Yajima, Rebecca Greiner and Norman Salem and has published in prestigious journals such as Gastroenterology, Journal of Neurochemistry and Journal of Lipid Research.

In The Last Decade

Junji Hoshiba

11 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junji Hoshiba Japan 9 305 129 106 82 52 11 409
Rex E. Martin United States 10 143 0.5× 268 2.1× 77 0.7× 65 0.8× 54 1.0× 18 482
Satoshi Hirako Japan 13 90 0.3× 114 0.9× 138 1.3× 38 0.5× 67 1.3× 35 436
Hisao Tanase Japan 12 34 0.1× 131 1.0× 150 1.4× 30 0.4× 38 0.7× 25 451
Josiane C. Cruz Brazil 11 48 0.2× 114 0.9× 121 1.1× 36 0.4× 11 0.2× 26 379
Yong-Fu Xiao United States 9 168 0.6× 189 1.5× 85 0.8× 57 0.7× 47 0.9× 9 441
Andrew J Sinclair Australia 4 168 0.6× 99 0.8× 80 0.8× 35 0.4× 33 0.6× 7 297
G.Peter Aldred Australia 12 52 0.2× 231 1.8× 54 0.5× 11 0.1× 55 1.1× 18 626
Katarzyna Nawrot‐Porąbka Poland 14 62 0.2× 62 0.5× 104 1.0× 8 0.1× 91 1.8× 23 414
WM Rand United States 7 102 0.3× 45 0.3× 192 1.8× 26 0.3× 17 0.3× 7 409
Yuichi Takasugi Japan 10 100 0.3× 60 0.5× 122 1.2× 20 0.2× 137 2.6× 22 506

Countries citing papers authored by Junji Hoshiba

Since Specialization
Citations

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

Fields of papers citing papers by Junji Hoshiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junji Hoshiba

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

All Works

11 of 11 papers shown
1.
Hussein, Nahed, I. M. Fedorova, Toru Moriguchi, et al.. (2009). Artificial Rearing of Infant Mice Leads to n‐3 Fatty Acid Deficiency in Cardiac, Neural and Peripheral Tissues. Lipids. 44(8). 685–702. 19 indexed citations
2.
Yajima, Masako, Tsuyoshi Shibata, Makoto Yamaguchi, et al.. (2008). W1197 Oral Administration of Bifidobacterium Attenuates Inflammatory Responses of Spleen Cells to Escherichia coli in Neonatal Germ Free and Caesarian Delivered Mice. Gastroenterology. 134(4). A–653. 1 indexed citations
3.
Fedorova, I. M., Nahed Hussein, Toru Moriguchi, et al.. (2007). An n-3 fatty acid deficient diet affects mouse spatial learning in the Barnes circular maze. Prostaglandins Leukotrienes and Essential Fatty Acids. 77(5-6). 269–277. 74 indexed citations
4.
Halpern, Melissa D., Ludmila Khailová, Kelly M. Arganbright, et al.. (2007). Decreased development of necrotizing enterocolitis in IL-18-deficient mice. American Journal of Physiology-Gastrointestinal and Liver Physiology. 294(1). G20–G26. 48 indexed citations
5.
Yajima, Masako, et al.. (2007). Reduced Thymic Size and Numbers of Splenic CD4+and CD8+Cells in Artificially Reared Mouse Pups. Bioscience Biotechnology and Biochemistry. 71(10). 2420–2427. 12 indexed citations
6.
Lim, Sun‐Young, Junji Hoshiba, Toru Moriguchi, & Norman Salem. (2005). N-3 Fatty Acid Deficiency Induced by a Modified Artificial Rearing Method Leads to Poorer Performance in Spatial Learning Tasks. Pediatric Research. 58(4). 741–748. 73 indexed citations
8.
Moriguchi, Toru, Sun‐Young Lim, Rebecca Greiner, et al.. (2004). Effects of an n-3-deficient diet on brain, retina, and liver fatty acyl composition in artificially reared rats. Journal of Lipid Research. 45(8). 1437–1445. 58 indexed citations
9.
Hoshiba, Junji. (2004). Method for hand-feeding mouse pups with nursing bottles.. PubMed. 43(3). 50–3. 26 indexed citations
10.
Hoshiba, Junji. (1996). Automatic feeder for newborn rat use within l2 hours of birth.. PubMed. 35(5). 83–6. 4 indexed citations
11.
Hoshiba, Junji. (1986). An automatic feeder for infant rats.. PubMed. 36(6). 682–5. 13 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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