Hidetoshi Morita

19.2k total citations · 5 hit papers
144 papers, 9.4k citations indexed

About

Hidetoshi Morita is a scholar working on Molecular Biology, Food Science and Physiology. According to data from OpenAlex, Hidetoshi Morita has authored 144 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 49 papers in Food Science and 20 papers in Physiology. Recurrent topics in Hidetoshi Morita's work include Probiotics and Fermented Foods (47 papers), Gut microbiota and health (43 papers) and Genomics and Phylogenetic Studies (25 papers). Hidetoshi Morita is often cited by papers focused on Probiotics and Fermented Foods (47 papers), Gut microbiota and health (43 papers) and Genomics and Phylogenetic Studies (25 papers). Hidetoshi Morita collaborates with scholars based in Japan, United States and Vietnam. Hidetoshi Morita's co-authors include Kenshiro Oshima, Masahira Hattori, Hidehiro Toh, Wataru Suda, Hiroshi Ohno, Todd D. Taylor, Kikuji Itoh, Kenya Honda, Jun Kikuchi and Shinji Fukuda and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Hidetoshi Morita

138 papers receiving 9.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bifidobacteria can protect from enteropathogenic infection through production of acetate

2011 1.8k citations Shinji Fukuda, Hidehiro Toh et al. profile →
Obesity-induced gut microbial metabolite promotes liver cancer through senescence secretome

2013 1.7k citations Kenshiro Oshima, Hidetoshi Morita et al. profile →
Comparative Metagenomics Revealed Commonly Enriched Gene Sets in Human Gut Microbiomes

2007 627 citations Tomomi Kuwahara, Kenshiro Oshima et al. DNA Research profile →
Dysbiosis in the Gut Microbiota of Patients with Multiple Sclerosis, with a Striking Depletion of Species Belonging to Clostridia XIVa and IV Clusters

2015 593 citations Wataru Suda, Kenshiro Oshima et al. PLoS ONE profile →
The gut microbiome of healthy Japanese and its microbial and functional uniqueness

2016 342 citations Wataru Suda, Kenshiro Oshima et al. DNA Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hidetoshi Morita Japan	37	6.0k	2.0k	1.6k	1.4k	1.2k	144	9.4k
Shinji Fukuda Japan	42	4.8k 0.8×	1.3k 0.7×	1.5k 0.9×	1.3k 0.9×	710 0.6×	238	8.5k
Benjamin P. Willing Canada	37	4.9k 0.8×	1.6k 0.8×	1.2k 0.7×	1.7k 1.2×	760 0.7×	112	7.7k
Michael Sargent Canada	19	5.0k 0.8×	1.4k 0.7×	1.2k 0.8×	1.5k 1.1×	901 0.8×	41	7.2k
Carlotta De Filippo Italy	35	5.8k 1.0×	1.3k 0.7×	1.9k 1.1×	1.3k 0.9×	759 0.7×	83	8.5k
Tanya Yatsunenko United States	8	7.2k 1.2×	1.3k 0.7×	2.8k 1.7×	1.8k 1.3×	856 0.7×	9	9.4k
Gregory B. Gloor Canada	53	9.7k 1.6×	1.3k 0.7×	1.4k 0.8×	1.4k 1.0×	1.7k 1.5×	157	14.6k
Antonio González United States	34	7.2k 1.2×	956 0.5×	1.8k 1.1×	1.5k 1.0×	927 0.8×	83	11.5k
Emma Allen‐Vercoe Canada	42	5.8k 1.0×	1.5k 0.7×	1.2k 0.7×	2.5k 1.7×	1.1k 1.0×	143	10.3k
Eric A. Franzosa United States	36	7.6k 1.3×	1.1k 0.6×	1.8k 1.1×	1.6k 1.1×	1.0k 0.9×	64	10.4k
Doyle V. Ward United States	36	5.8k 1.0×	1.1k 0.6×	926 0.6×	1.6k 1.1×	1.1k 0.9×	77	9.4k

Countries citing papers authored by Hidetoshi Morita

Since Specialization

Citations

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

Fields of papers citing papers by Hidetoshi Morita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidetoshi Morita

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

All Works

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20 of 20 papers shown

Miyauchi, Eiji, Kyoko Yamazaki, Kyoko Yamazaki, et al.. (2025). Patients with periodontitis exhibit persistent dysbiosis of the gut microbiota and distinct serum metabolome. Journal of Oral Microbiology. 17(1). 2499284–2499284. 2 indexed citations

Arakawa, Kensuke, et al.. (2024). A Novel C-Terminal Truncated Bacteriocin Found by Comparison between Leuconostoc mesenteroides 406 and 213M0 Isolated from Mongolian Traditional Fermented Milk, Airag. Microorganisms. 12(9). 1781–1781. 1 indexed citations

Albarracín, Leonardo, Mikado Tomokiyo, Md. Aminul Islam, et al.. (2020). Selection of Immunobiotic Ligilactobacillus salivarius Strains from the Intestinal Tract of Wakame-Fed Pigs: Functional and Genomic Studies. Microorganisms. 8(11). 1659–1659. 15 indexed citations

Nakagome, Shigeki, Hiroshi Chinen, Atsushi Iraha, et al.. (2017). Confounding effects of microbiome on the susceptibility of TNFSF15 to Crohn’s disease in the Ryukyu Islands. Human Genetics. 136(4). 387–397. 11 indexed citations

Toh, Hidehiro, Hidetoshi Morita, Kazuhiro Iwashita, et al.. (2015). Complete genome sequence of Lactobacillus acetotolerans RIB 9124 (NBRC 13120) isolated from putrefied (hiochi) Japanese sake. Journal of Biotechnology. 214. 214–215. 6 indexed citations

Morita, Hidetoshi, Hidehiro Toh, Kenshiro Oshima, et al.. (2015). Complete genome sequence of Bifidobacterium bifidum JCM 1255T isolated from feces of a breast-fed infant. Journal of Biotechnology. 210. 66–67. 2 indexed citations

Morita, Hidetoshi, Hidehiro Toh, Kenshiro Oshima, et al.. (2015). Complete genome sequence of Bifidobacterium angulatum JCM 7096T isolated from human feces. Journal of Biotechnology. 211. 10–11. 4 indexed citations

Suzuki, Takehito, Kaoru Yamazaki, Mitsuyuki Shirai, et al.. (2014). Excretion of 3,3’,4,4’,5-Pentachlorobiphenyl (PCB126) from Rat Liver Following Oral Administration of Lactobacillus reuteri and Lactobacillus acidophilus. Food Science and Technology Research. 20(4). 821–828. 2 indexed citations

Miyauchi, Eiji, Tasuku Ogita, Junki Miyamoto, et al.. (2013). Bifidobacterium longum Alleviates Dextran Sulfate Sodium-Induced Colitis by Suppressing IL-17A Response: Involvement of Intestinal Epithelial Costimulatory Molecules. PLoS ONE. 8(11). e79735–e79735. 54 indexed citations

10.

Kim, Sang-Wan, Wataru Suda, Sujin Kim, et al.. (2013). Robustness of Gut Microbiota of Healthy Adults in Response to Probiotic Intervention Revealed by High-Throughput Pyrosequencing. DNA Research. 20(3). 241–253. 246 indexed citations

11.

Ichimura, Minoru, Keiko Uchida, Haruyuki Nakayama‐Imaohji, et al.. (2013). Mariner‐based transposon mutagenesis for Bacteroides species. Journal of Basic Microbiology. 54(6). 558–567. 13 indexed citations

12.

Prakash, Tulika, Kenshiro Oshima, Hidetoshi Morita, et al.. (2011). Complete Genome Sequences of Rat and Mouse Segmented Filamentous Bacteria, a Potent Inducer of Th17 Cell Differentiation. Cell Host & Microbe. 10(3). 273–284. 96 indexed citations

13.

Watanabe, Yoshihisa, et al.. (2005). Paenibacillus maceransPossesses Two Types of 16S rDNA Copies in a Genome with a Length Difference of Twelve Base Pairs. Bioscience Biotechnology and Biochemistry. 69(10). 1995–1998. 6 indexed citations

14.

Sakata, Ryoichi, et al.. (2001). Effect of Whey Protein Hydrolysate on the Acceleration of Color Formation in Meat Products and its Mechanism.. Nihon Yoton Gakkaishi. 38(3). 115–124. 1 indexed citations

15.

Sakata, Ryoichi, et al.. (1999). Characteristics of a Red Pigment in Parma Ham.. Nihon Yoton Gakkaishi. 36(3). 124–129. 4 indexed citations

16.

Sakata, Ryoichi, et al.. (1998). Tenderization of hog casings. Application of organic acids and proteases. Fleischwirtschaft international. 78(4). 703–704. 1 indexed citations

17.

Sakata, Ryoichi, et al.. (1998). Verbesserung der Zartheit von Schweine-Naturdärmen: Einsatz von organischen Säuren und Proteasen. Die Fleischwirtschaft. 78(4). 371–372. 1 indexed citations

18.

Sakata, Ryoichi, et al.. (1996). Physico-chemical characteristics of nitrosomyoglobin: Water-extractability and stability toward an oxidizing agent of myoglobin derivatives. Die Fleischwirtschaft. 76(11). 1148–1150. 3 indexed citations

19.

Morita, Hidetoshi, et al.. (1994). MARINE ORGANISM PREVENTION SYSTEM BY ELECTROLYSIS TECHNOLOGY. The Proceedings of the ... International Offshore and Polar Engineering Conference. 4. 644–646. 1 indexed citations

20.

Sakata, Ryoichi, et al.. (1993). Augmentation of Cooked Cured Meat Color by Nitrosohemoglobin Prepared from Cattle Blood. Nihon Chikusan Gakkaiho. 64(8). 855–861. 1 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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