Nobuhisa Ashida

465 total citations
9 papers, 360 citations indexed

About

Nobuhisa Ashida is a scholar working on Molecular Biology, Food Science and Physiology. According to data from OpenAlex, Nobuhisa Ashida has authored 9 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Food Science and 2 papers in Physiology. Recurrent topics in Nobuhisa Ashida's work include Peroxisome Proliferator-Activated Receptors (3 papers), Probiotics and Fermented Foods (3 papers) and Antimicrobial Peptides and Activities (2 papers). Nobuhisa Ashida is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (3 papers), Probiotics and Fermented Foods (3 papers) and Antimicrobial Peptides and Activities (2 papers). Nobuhisa Ashida collaborates with scholars based in Japan and Canada. Nobuhisa Ashida's co-authors include Naoyuki Yamamoto, Futoshi Nakamura, Shigeru Fujiwara, Yu Ishida, Tomonori Sugawara, Daisuke Sawada, Shinji Kato, Kenji Oyama, Shinji Sasazaki and Fumio Mukai and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, British Journal Of Nutrition and Mammalian Genome.

In The Last Decade

Nobuhisa Ashida

9 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nobuhisa Ashida Japan	8	194	146	82	75	47	9	360
Frank Weiler Germany	8	243 1.3×	107 0.7×	98 1.2×	79 1.1×	23 0.5×	14	493
Janelle A. Jiminez Canada	6	182 0.9×	57 0.4×	55 0.7×	65 0.9×	21 0.4×	8	362
Haitao Xiong China	9	220 1.1×	88 0.6×	76 0.9×	37 0.5×	94 2.0×	13	466
Joshua J. Malago Tanzania	14	237 1.2×	174 1.2×	67 0.8×	52 0.7×	80 1.7×	18	443
M. Ramírez-Boo Spain	9	161 0.8×	71 0.5×	35 0.4×	39 0.5×	71 1.5×	11	382
Miguel Freitas France	10	284 1.5×	238 1.6×	113 1.4×	64 0.9×	46 1.0×	14	497
Umesh K. Shandilya Canada	14	176 0.9×	98 0.7×	81 1.0×	72 1.0×	125 2.7×	47	493
Yuan Kun Lee Singapore	6	207 1.1×	143 1.0×	106 1.3×	33 0.4×	29 0.6×	7	392
C. Pecorini Italy	8	97 0.5×	89 0.6×	110 1.3×	56 0.7×	41 0.9×	17	301

Countries citing papers authored by Nobuhisa Ashida

Since Specialization

Citations

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

Fields of papers citing papers by Nobuhisa Ashida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuhisa Ashida

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

All Works

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9 of 9 papers shown

Koike, Satoshi, et al.. (2021). Effect of Bacillus subtilis C‐3102 supplementation in milk replacer on growth and rumen microbiota in preweaned calves. Animal Science Journal. 92(1). e13580–e13580. 9 indexed citations

Ashida, Nobuhisa, et al.. (2020). Dietary <i>Bacillus subtilis</i> C-3102 Supplementation Enhances the Exclusion of <i>Salmonella enterica</i> from Chickens. The Journal of Poultry Science. 58(2). 138–145. 11 indexed citations

Nakamura, Futoshi, Yu Ishida, Daisuke Sawada, et al.. (2016). Effect of fragmentedLactobacillus amylovorusCP1563 on lipid metabolism in overweight and mildly obese individuals: a randomized controlled trial. Microbial Ecology in Health and Disease. 27(0). 30312–30312. 42 indexed citations

Nakamura, Futoshi, Yu Ishida, Daisuke Sawada, et al.. (2016). Fragmented Lactic Acid Bacterial Cells Activate Peroxisome Proliferator-Activated Receptors and Ameliorate Dyslipidemia in Obese Mice. Journal of Agricultural and Food Chemistry. 64(12). 2549–2559. 67 indexed citations

Kato, Shinji, et al.. (2014). Lactobacillus acidophilus CP23 with weak immunomodulatory activity lacks anchoring structure for surface layer protein. Journal of Bioscience and Bioengineering. 119(5). 521–525. 6 indexed citations

Ashida, Nobuhisa, et al.. (2013). Anti-influenza virus effects of both live and non-liveLactobacillus acidophilusL-92 accompanied by the activation of innate immunity. British Journal Of Nutrition. 110(10). 1810–1818. 65 indexed citations

Ashida, Nobuhisa, et al.. (2011). Characterization of adhesive molecule with affinity to Caco-2 cells in Lactobacillus acidophilus by proteome analysis. Journal of Bioscience and Bioengineering. 112(4). 333–337. 54 indexed citations

Ashida, Nobuhisa, Shinji Sasazaki, Masaaki Taniguchi, et al.. (2007). Genotype of bovine sterol regulatory element binding protein-1 (SREBP-1) is associated with fatty acid composition in Japanese Black cattle. Mammalian Genome. 18(12). 880–886. 94 indexed citations

Yamano, Yoshiaki, Kenji Ohyama, Masanori Ohta, et al.. (2005). A Novel Spermatogenesis Related Factor-2 (SRF-2) Gene Expression Affected by TCDD Treatment. Endocrine Journal. 52(1). 75–81. 12 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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