Shota Nakamura

12.1k total citations · 3 hit papers
255 papers, 6.9k citations indexed

About

Shota Nakamura is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Shota Nakamura has authored 255 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 59 papers in Infectious Diseases and 55 papers in Epidemiology. Recurrent topics in Shota Nakamura's work include Gut microbiota and health (38 papers), Mycobacterium research and diagnosis (22 papers) and Clostridium difficile and Clostridium perfringens research (19 papers). Shota Nakamura is often cited by papers focused on Gut microbiota and health (38 papers), Mycobacterium research and diagnosis (22 papers) and Clostridium difficile and Clostridium perfringens research (19 papers). Shota Nakamura collaborates with scholars based in Japan, United States and Thailand. Shota Nakamura's co-authors include Daisuke Motooka, Kazuyoshi Gotoh, Tetsuya Iida, Tetsuya Iida, Toshihiro Horii, Kiyoshi Takeda, Shimon Sakaguchi, Takaaki Nakaya, Tadayasu Ohkubo and Keiji Hirota and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Shota Nakamura

238 papers receiving 6.8k citations

Hit Papers

3 papers align trajectories

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.

Dysbiosis Contributes to Arthritis Development via Activation of Autoreactive T Cells in the Intestine

2016 482 citations Yuichi Maeda, Takashi Kurakawa et al. profile →
Oral pathobiont induces systemic inflammation and metabolic changes associated with alteration of gut microbiota

2014 430 citations Daisuke Motooka, Shota Nakamura et al. profile →
Guidance of regulatory T cell development by Satb1-dependent super-enhancer establishment

2016 262 citations Daisuke Motooka, Shota Nakamura et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shota Nakamura Japan	48	3.2k	1.4k	1.0k	921	623	255	6.9k
Daisuke Motooka Japan	38	2.7k 0.8×	1.0k 0.7×	912 0.9×	904 1.0×	544 0.9×	270	5.7k
Zhiheng Pei United States	45	3.7k 1.2×	1.0k 0.7×	836 0.8×	540 0.6×	961 1.5×	93	7.6k
Hidetoshi Morita Japan	37	6.0k 1.9×	1.4k 1.0×	1.2k 1.1×	786 0.9×	1.6k 2.6×	144	9.4k
Xiang Qin United States	46	4.7k 1.5×	1.7k 1.2×	1.1k 1.0×	689 0.7×	719 1.2×	180	9.1k
Annelies S. Zinkernagel Switzerland	41	2.4k 0.8×	1.7k 1.2×	1.3k 1.3×	2.1k 2.2×	518 0.8×	151	8.5k
Aleksandar D. Kostic United States	21	5.6k 1.7×	1.5k 1.0×	1.1k 1.0×	637 0.7×	1.2k 1.9×	51	8.2k
Nicholas Chia United States	41	3.9k 1.2×	836 0.6×	1.0k 1.0×	409 0.4×	865 1.4×	121	6.4k
Bradley E. Britigan United States	51	3.3k 1.0×	797 0.6×	1.0k 1.0×	851 0.9×	570 0.9×	147	7.6k
Scott N. Peterson United States	44	3.8k 1.2×	1.1k 0.8×	984 0.9×	381 0.4×	357 0.6×	111	6.4k
Ilseung Cho United States	15	3.9k 1.2×	1.1k 0.8×	628 0.6×	429 0.5×	1.2k 1.9×	29	5.8k

Countries citing papers authored by Shota Nakamura

Since Specialization

Citations

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

Fields of papers citing papers by Shota Nakamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shota Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Shota Nakamura. A scholar is included among the top collaborators of Shota Nakamura 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 Shota Nakamura. Shota Nakamura 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

Ito, Takayoshi, Taiki Sakaguchi, Shuichi Shimma, et al.. (2025). Intestinal Foxl1+ cell-derived CXCL12 maintains epithelial homeostasis by modulating cellular metabolism. International Immunology. 37(4). 235–250. 1 indexed citations

Baba, Tomoya, Takayasu Ito, Yoshiki Sato, et al.. (2024). Bronchial occlusion with endobronchial Watanabe spigots using a two‐scope technique for massive haemoptysis. SHILAP Revista de lepidopterología. 12(6). e01405–e01405.

Hakozaki, Taiki, Takayuki Kobayashi, Shota Fukuoka, et al.. (2024). Novel screening approach for cancer cachexia using metagenomic gut microbiome profiling in patients with advanced non-small cell lung cancer.. Journal of Clinical Oncology. 42(16_suppl). 12090–12090. 3 indexed citations

Hassan, Jayedul, Atsushi Hinenoya, Noritoshi Hatanaka, et al.. (2024). A plasmid-mediated type III secretion system associated with invasiveness and diarrheagenicity of Providencia rustigianii. mBio. 15(10). e0229724–e0229724. 2 indexed citations

Ito, Takayoshi, Bo Li, Daisuke Okuzaki, et al.. (2023). The UDP-glucose/P2Y14 receptor axis promotes eosinophil-dependent large intestinal inflammation. International Immunology. 36(4). 155–166. 4 indexed citations

Motooka, Daisuke, et al.. (2023). A cell wall synthase accelerates plasma membrane partitioning in mycobacteria. eLife. 12. 7 indexed citations

Inaba, Tohru, Takao Arimori, Daisuke Motooka, et al.. (2022). An engineered ACE2 decoy neutralizes the SARS-CoV-2 Omicron variant and confers protection against infection in vivo. Science Translational Medicine. 14(650). eabn7737–eabn7737. 34 indexed citations

Yamaguchi, Toshio, Hideki Iijima, Mizuki Tani, et al.. (2022). Exacerbation of non‐steroidal anti‐inflammatory drug‐induced enteropathy in C‐C chemokine receptor type 7‐deficient mice. Journal of Gastroenterology and Hepatology. 37(8). 1561–1570. 2 indexed citations

Kitahara, Maki, Yuki Matsumoto, Shota Nakamura, et al.. (2021). Vescimonas gen. nov., Vescimonas coprocola sp. nov., Vescimonas fastidiosa sp. nov., Pusillimonas gen. nov. and Pusillimonas faecalis sp. nov. isolated from human faeces. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 71(11). 5 indexed citations

10.

Togashi, Yosuke, Shota Fukuoka, Kiwamu Akagi, et al.. (2021). Importance of lymph node immune responses in MSI-H/dMMR colorectal cancer. JCI Insight. 6(9). 26 indexed citations

11.

Higuchi, Yusuke, Tatsuya Suzuki, Takao Arimori, et al.. (2021). Engineered ACE2 receptor therapy overcomes mutational escape of SARS-CoV-2. Nature Communications. 12(1). 3802–3802. 76 indexed citations

12.

Harada, Tetsuya, Daisuke Motooka, Shota Nakamura, et al.. (2020). Detection of Genetic Elements Carrying vanA in Vancomycin-Resistant Enterococcus saigonensis VE80 ^T Isolated from Retail Chicken Meat. Foodborne Pathogens and Disease. 17(12). 772–774.

13.

Ito, Shingo, Shoichiro Kameoka, Takashi Hishida, et al.. (2020). UNAGI: an automated pipeline for nanopore full-length cDNA sequencing uncovers novel transcripts and isoforms in yeast. Functional & Integrative Genomics. 20(4). 523–536. 7 indexed citations

14.

Nakamura, Shota, et al.. (2020). Total Synthesis of the Proposed Structure for Protoaculeine B, a Polycationic Marine Sponge Metabolite, with a Homogeneous Long-Chain Polyamine. Journal of Natural Products. 83(9). 2769–2775. 8 indexed citations

15.

Motooka, Daisuke, et al.. (2020). Emergence and diversification of a host-parasite RNA ecosystem through Darwinian evolution. eLife. 9. 24 indexed citations

16.

Pareek, Siddhika, Takashi Kurakawa, Bhabatosh Das, et al.. (2019). Comparison of Japanese and Indian intestinal microbiota shows diet-dependent interaction between bacteria and fungi. npj Biofilms and Microbiomes. 5(1). 37–37. 66 indexed citations

17.

Liu, Yi‐Shi, Xinyu Guo, Tetsuya Hirata, et al.. (2017). N -Glycan–dependent protein folding and endoplasmic reticulum retention regulate GPI-anchor processing. The Journal of Cell Biology. 217(2). 585–599. 56 indexed citations

18.

Motooka, Daisuke, Shota Nakamura, Katsuro Hagiwara, & Takaaki Nakaya. (2014). Viral Detection by High-Throughput Sequencing. Methods in molecular biology. 1236. 125–134. 6 indexed citations

19.

Sakai, Kaoru, Mikihiro Yunoki, Ritsuko Kubota‐Koketsu, et al.. (2013). Immunization of rabbits with synthetic peptides derived from a highly conserved β-sheet epitope region underneath the receptor binding site of influenza A virus. Biologics. 7. 233–233. 4 indexed citations

20.

Nakamura, Shota, Uamporn Siripanyaphinyo, Nuanjun Wichukchinda, et al.. (2008). Genotypic Characterization of CRF01_AE env Genes Derived from Human Immunodeficiency Virus Type 1-Infected Patients Residing in Central Thailand. AIDS Research and Human Retroviruses. 25(2). 229–236. 16 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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