Geicho Nakatsu

6.0k total citations · 7 hit papers
29 papers, 4.2k citations indexed

About

Geicho Nakatsu is a scholar working on Molecular Biology, Surgery and Infectious Diseases. According to data from OpenAlex, Geicho Nakatsu has authored 29 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Surgery and 8 papers in Infectious Diseases. Recurrent topics in Geicho Nakatsu's work include Gut microbiota and health (19 papers), Helicobacter pylori-related gastroenterology studies (7 papers) and Clostridium difficile and Clostridium perfringens research (7 papers). Geicho Nakatsu is often cited by papers focused on Gut microbiota and health (19 papers), Helicobacter pylori-related gastroenterology studies (7 papers) and Clostridium difficile and Clostridium perfringens research (7 papers). Geicho Nakatsu collaborates with scholars based in Hong Kong, China and United States. Geicho Nakatsu's co-authors include Joseph J.�Y. Sung, Jun Yu, Sunny H. Wong, William Ka Kei Wu, Francis K.L. Chan, Olabisi Oluwabukola Coker, Siew C. Ng, Zigui Chen, Ho Tsoi and Liuyang Zhao and has published in prestigious journals such as Nature Communications, Gastroenterology and Cancer Research.

In The Last Decade

Geicho Nakatsu

28 papers receiving 4.2k citations

Hit Papers

Gut mucosal microbiome across stages of colorectal carcin... 2015 2026 2018 2022 2015 2017 2017 2018 2018 100 200 300 400 500

Peers

Geicho Nakatsu
Annemarie Boleij Netherlands
Joshua M. Uronis United States
Marcus Mühlbauer United States
Zachary M. Earley United States
Yuk Man Lei United States
Geicho Nakatsu
Citations per year, relative to Geicho Nakatsu Geicho Nakatsu (= 1×) peers Olabisi Oluwabukola Coker

Countries citing papers authored by Geicho Nakatsu

Since Specialization
Citations

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

Fields of papers citing papers by Geicho Nakatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geicho Nakatsu

This figure shows the co-authorship network connecting the top 25 collaborators of Geicho Nakatsu. A scholar is included among the top collaborators of Geicho Nakatsu 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 Geicho Nakatsu. Geicho Nakatsu 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.
Otani, Koji, Geicho Nakatsu, Kosuke Fujimoto, et al.. (2025). Development of gastric mucosa-associated microbiota in autoimmune gastritis with neuroendocrine tumors. Journal of Gastroenterology. 60(12). 1481–1495.
2.
Nakatsu, Geicho, Monia Michaud, Eric A. Franzosa, et al.. (2025). Virulence factor discovery identifies associations between the Fic gene family and Fap2 + fusobacteria in colorectal cancer microbiomes. mBio. 16(2). e0373224–e0373224. 7 indexed citations
3.
Nakatsu, Geicho, et al.. (2024). Interactions between diet and gut microbiota in cancer. Nature Microbiology. 9(7). 1644–1654. 22 indexed citations
4.
Sugimura, Naoki, Qing Li, Eagle S.H. Chu, et al.. (2021). Lactobacillus gallinarum modulates the gut microbiota and produces anti-cancer metabolites to protect against colorectal tumourigenesis. Gut. 71(10). 2011–2021. 190 indexed citations breakdown →
5.
Brennan, Caitlin A., Geicho Nakatsu, David A. Drew, et al.. (2021). Aspirin Modulation of the Colorectal Cancer-Associated Microbe Fusobacterium nucleatum. mBio. 12(2). 56 indexed citations
6.
Wu, William Ka Kei, Sunny H. Wong, Dabin Liu, et al.. (2020). Bacteria pathogens drive host colonic epithelial cell promoter hypermethylation of tumor suppressor genes in colorectal cancer. Microbiome. 8(1). 108–108. 100 indexed citations
7.
Watanabe, Toshio, Yuji Nadatani, Wataru Suda, et al.. (2020). Long-term persistence of gastric dysbiosis after eradication of Helicobacter pylori in patients who underwent endoscopic submucosal dissection for early gastric cancer. Gastric Cancer. 24(3). 710–720. 25 indexed citations
8.
Zhao, Risheng, Olabisi Oluwabukola Coker, Jian‐Lin Wu, et al.. (2020). Aspirin Reduces Colorectal Tumor Development in Mice and Gut Microbes Reduce its Bioavailability and Chemopreventive Effects. Gastroenterology. 159(3). 969–983.e4. 115 indexed citations
9.
Liang, Qiaoyi, Tong Li, Geicho Nakatsu, et al.. (2019). A novel faecalLachnoclostridiummarker for the non-invasive diagnosis of colorectal adenoma and cancer. Gut. 69(7). 1248–1257. 231 indexed citations
10.
Coker, Olabisi Oluwabukola, Geicho Nakatsu, William Ka Kei Wu, et al.. (2018). Enteric fungal microbiota dysbiosis and ecological alterations in colorectal cancer. Gut. 68(4). 654–662. 357 indexed citations breakdown →
11.
Higashimori, Akihiro, Yujuan Dong, Yanquan Zhang, et al.. (2018). Forkhead Box F2 Suppresses Gastric Cancer through a Novel FOXF2–IRF2BPL–β-Catenin Signaling Axis. Cancer Research. 78(7). 1643–1656. 52 indexed citations
12.
Li, Weilin, Chi Chun Wong, Xiaoming Zhang, et al.. (2018). CAB39L elicited an anti-Warburg effect via a LKB1-AMPK-PGC1α axis to inhibit gastric tumorigenesis. Oncogene. 37(50). 6383–6398. 52 indexed citations
13.
Nakatsu, Geicho, Haokui Zhou, William Ka Kei Wu, et al.. (2018). Alterations in Enteric Virome Are Associated With Colorectal Cancer and Survival Outcomes. Gastroenterology. 155(2). 529–541.e5. 266 indexed citations breakdown →
14.
Cao, Lei, Shiyan Wang, Yanquan Zhang, et al.. (2018). Zinc-finger protein 471 suppresses gastric cancer through transcriptionally repressing downstream oncogenic PLS3 and TFAP2A. Oncogene. 37(26). 3601–3616. 48 indexed citations
15.
Coker, Olabisi Oluwabukola, Zhenwei Dai, Yongzhan Nie, et al.. (2017). Mucosal microbiome dysbiosis in gastric carcinogenesis. Gut. 67(6). 1024–1032. 491 indexed citations breakdown →
16.
Tsoi, Ho, Eagle SH Chu, Xiang Zhang, et al.. (2017). Peptostreptococcus anaerobius Induces Intracellular Cholesterol Biosynthesis in Colon Cells to Induce Proliferation and Causes Dysplasia in Mice. Gastroenterology. 152(6). 1419–1433.e5. 310 indexed citations
17.
Wong, Sunny H., Liuyang Zhao, Xiang Zhang, et al.. (2017). Gavage of Fecal Samples From Patients With Colorectal Cancer Promotes Intestinal Carcinogenesis in Germ-Free and Conventional Mice. Gastroenterology. 153(6). 1621–1633.e6. 464 indexed citations breakdown →
18.
Xiao, Xue, Geicho Nakatsu, Ye Jin, et al.. (2017). Gut Microbiota Mediates Protection Against Enteropathy Induced by Indomethacin. Scientific Reports. 7(1). 40317–40317. 43 indexed citations
19.
Nakatsu, Geicho, Xiangchun Li, Haokui Zhou, et al.. (2015). Gut mucosal microbiome across stages of colorectal carcinogenesis. Nature Communications. 6(1). 8727–8727. 510 indexed citations breakdown →
20.
Wu, Ruonan, Geicho Nakatsu, Xiang Zhang, & Jun Yu. (2015). Pathophysiological mechanisms and therapeutic potentials of macrophages in non-alcoholic steatohepatitis. Expert Opinion on Therapeutic Targets. 20(5). 615–626. 23 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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