Kouki Nio

2.1k total citations
54 papers, 1.3k citations indexed

About

Kouki Nio is a scholar working on Hepatology, Molecular Biology and Epidemiology. According to data from OpenAlex, Kouki Nio has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Hepatology, 21 papers in Molecular Biology and 21 papers in Epidemiology. Recurrent topics in Kouki Nio's work include Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Hepatitis B Virus Studies (13 papers) and Liver Disease Diagnosis and Treatment (12 papers). Kouki Nio is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Hepatitis B Virus Studies (13 papers) and Liver Disease Diagnosis and Treatment (12 papers). Kouki Nio collaborates with scholars based in Japan, United States and China. Kouki Nio's co-authors include Taro Yamashita, Shuichi Kaneko, Masao Honda, Takehiro Hayashi, Lishan Su, Tatsuya Yamashita, Feng Li, Yasumasa Hara, Sha Zeng and Mitsumasa Kondo and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Hepatology.

In The Last Decade

Kouki Nio

47 papers receiving 1.3k citations

Peers

Kouki Nio
Maggie Cam United States
Zuzanna Makowska Switzerland
Carl Bart Rountree United States
Benjamin Ruf United States
Kouki Nio
Citations per year, relative to Kouki Nio Kouki Nio (= 1×) peers Atsushi Takai

Countries citing papers authored by Kouki Nio

Since Specialization
Citations

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

Fields of papers citing papers by Kouki Nio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kouki Nio

This figure shows the co-authorship network connecting the top 25 collaborators of Kouki Nio. A scholar is included among the top collaborators of Kouki Nio 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 Kouki Nio. Kouki Nio 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.
Terashima, Takeshi, Kouki Nio, Naohiko Koshikawa, et al.. (2025). Serum laminin γ2 monomer as a novel diagnostic and prognostic marker for pancreatic ductal adenocarcinoma. PubMed. 3(1). 2–2. 1 indexed citations
2.
Terashima, Takeshi, Makoto Yamamoto, Tadashi Toyama, et al.. (2025). The efficacy and safety of adding hepatic arterial infusion chemotherapy using cisplatin to lenvatinib for advanced hepatocellular carcinoma. Hepatology Research. 55(7). 1026–1037.
3.
Chen, Han, Ying-Yi Li, Kouki Nio, & Hong Tang. (2024). Unveiling the Impact of BMP9 in Liver Diseases: Insights into Pathogenesis and Therapeutic Potential. Biomolecules. 14(8). 1013–1013. 5 indexed citations
4.
Funahashi, Nobuaki, Hikari Okada, Ryo Kaneko, et al.. (2024). Hepatocyte transformation is induced by laminin γ2 monomer. Cancer Science. 115(9). 2972–2984. 2 indexed citations
5.
Terashima, Takeshi, Tatsuya Yamashita, Kuniaki Arai, et al.. (2024). Comprehensive genomic profiling for advanced hepatocellular carcinoma in clinical practice. Hepatology International. 19(1). 212–221. 3 indexed citations
6.
Nio, Kouki, Tetsuro Shimakami, Kazuyuki Kuroki, et al.. (2023). Super-Resolution Microscopy Analysis of Hepatitis B Viral cccDNA and Host Factors. Viruses. 15(5). 1178–1178. 5 indexed citations
7.
Ahodantin, James, Kouki Nio, Xuguang Zhai, et al.. (2022). Type I interferons and TGF-β cooperate to induce liver fibrosis during HIV-1 infection under antiretroviral therapy. JCI Insight. 7(13). 11 indexed citations
8.
Li, Ru, Hikari Okada, Taro Yamashita, et al.. (2022). FOXM1 Is a Novel Molecular Target of AFP-Positive Hepatocellular Carcinoma Abrogated by Proteasome Inhibition. International Journal of Molecular Sciences. 23(15). 8305–8305. 10 indexed citations
9.
Yamashita, Taro, Hajime Sunagozaka, Hikari Okada, et al.. (2022). Dickkopf-1 Promotes Angiogenesis and is a Biomarker for Hepatic Stem Cell-like Hepatocellular Carcinoma. International Journal of Molecular Sciences. 23(5). 2801–2801. 23 indexed citations
10.
Mizukoshi, Eishiro, Hidetoshi Nakagawa, Masaaki Kitahara, et al.. (2022). Peptide vaccine-treated, long-term surviving cancer patients harbor self-renewing tumor-specific CD8+ T cells. Nature Communications. 13(1). 3123–3123. 27 indexed citations
11.
Shimakami, Tetsuro, Hajime Sunagozaka, Rika Horii, et al.. (2018). Three renal failure cases successfully treated with ombitasvir/paritaprevir/ritonavir for genotype 1b hepatitis C virus reinfection after liver transplantation. Clinical Journal of Gastroenterology. 12(1). 63–70. 2 indexed citations
12.
Shirasaki, Takayoshi, Masao Honda, Taro Yamashita, et al.. (2018). The osteopontin-CD44 axis in hepatic cancer stem cells regulates IFN signaling and HCV replication. Scientific Reports. 8(1). 13143–13143. 27 indexed citations
13.
Hayashi, Tomoyuki, Taro Yamashita, Hikari Okada, et al.. (2017). A Novel mTOR Inhibitor; Anthracimycin for the Treatment of Human Hepatocellular Carcinoma. Anticancer Research. 37(7). 3397–3403. 13 indexed citations
14.
Hayashi, Tomoyuki, Taro Yamashita, Takeshi Terashima, et al.. (2017). Serum cytokine profiles predict survival benefits in patients with advanced hepatocellular carcinoma treated with sorafenib: a retrospective cohort study. BMC Cancer. 17(1). 870–870. 26 indexed citations
15.
Nomura, Yoshimoto, Taro Yamashita, Naoki Oishi, et al.. (2017). De Novo Emergence of Mesenchymal Stem-Like CD105+ Cancer Cells by Cytotoxic Agents in Human Hepatocellular Carcinoma. Translational Oncology. 10(2). 184–189. 16 indexed citations
16.
Nio, Kouki, Taro Yamashita, & Shuichi Kaneko. (2017). The evolving concept of liver cancer stem cells. Molecular Cancer. 16(1). 4–4. 202 indexed citations
17.
Bility, Moses T., Kouki Nio, Feng Li, et al.. (2016). Chronic hepatitis C infection–induced liver fibrogenesis is associated with M2 macrophage activation. Scientific Reports. 6(1). 39520–39520. 56 indexed citations
18.
Kawaguchi, Kazunori, Masao Honda, Taro Yamashita, et al.. (2016). Jagged1 DNA Copy Number Variation Is Associated with Poor Outcome in Liver Cancer. American Journal Of Pathology. 186(8). 2055–2067. 20 indexed citations
19.
Li, Feng, Kouki Nio, Fumihiko Yasui, Christopher M. Murphy, & Lishan Su. (2016). Studying HBV Infection and Therapy in Immune-Deficient NOD-Rag1−/−IL2RgammaC-null (NRG) Fumarylacetoacetate Hydrolase (Fah) Knockout Mice Transplanted with Human Hepatocytes. Methods in molecular biology. 1540. 267–276. 8 indexed citations
20.
Yamashita, Taro, Masao Honda, Kouki Nio, et al.. (2010). Oncostatin M Renders Epithelial Cell Adhesion Molecule–Positive Liver Cancer Stem Cells Sensitive to 5-Fluorouracil by Inducing Hepatocytic Differentiation. Cancer Research. 70(11). 4687–4697. 77 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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