Yangkun Guo

467 total citations · 2 hit papers
10 papers, 243 citations indexed

About

Yangkun Guo is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Yangkun Guo has authored 10 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Yangkun Guo's work include Liver Disease Diagnosis and Treatment (5 papers), interferon and immune responses (2 papers) and Liver Disease and Transplantation (2 papers). Yangkun Guo is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), interferon and immune responses (2 papers) and Liver Disease and Transplantation (2 papers). Yangkun Guo collaborates with scholars based in China, United States and Macao. Yangkun Guo's co-authors include Jinhang Gao, Chengwei Tang, Can Gan, Enis Kostallari, Yang Tai, Chong Zhao, Bei Li, Yang Xiao, Tian Lan and Zhiyin Huang and has published in prestigious journals such as ACS Nano, ACS Applied Materials & Interfaces and Journal of Hepatology.

In The Last Decade

Yangkun Guo

10 papers receiving 241 citations

Hit Papers

STING mediates hepatocyte pyroptosis in liver fibrosis by... 2023 2026 2024 2025 2023 2025 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yangkun Guo China 7 108 95 69 63 28 10 243
Yuzo Koda Japan 8 79 0.7× 140 1.5× 104 1.5× 119 1.9× 30 1.1× 14 312
Zuowei Ning China 6 171 1.6× 121 1.3× 76 1.1× 44 0.7× 36 1.3× 8 312
Zuyuan Lin China 10 129 1.2× 96 1.0× 96 1.4× 49 0.8× 70 2.5× 29 326
Modan Yang China 9 103 1.0× 88 0.9× 86 1.2× 35 0.6× 76 2.7× 26 308
Andreea-Manuela Mirea Romania 7 101 0.9× 169 1.8× 42 0.6× 55 0.9× 38 1.4× 16 285
Shunsuke Shiba Japan 10 59 0.5× 118 1.2× 95 1.4× 67 1.1× 20 0.7× 14 253
Feyza Gündüz Türkiye 11 56 0.5× 138 1.5× 113 1.6× 64 1.0× 26 0.9× 27 284
Qiong Liu China 7 88 0.8× 91 1.0× 65 0.9× 36 0.6× 20 0.7× 14 218
Loredana Pipitone Italy 9 68 0.6× 94 1.0× 34 0.5× 42 0.7× 40 1.4× 15 295
Toru Setsu Japan 11 39 0.4× 129 1.4× 108 1.6× 95 1.5× 72 2.6× 35 315

Countries citing papers authored by Yangkun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yangkun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangkun Guo

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

All Works

10 of 10 papers shown
1.
Gan, Can, Yuan Yuan, Haiyuan Shen, et al.. (2025). Liver diseases: epidemiology, causes, trends and predictions. Signal Transduction and Targeted Therapy. 10(1). 33–33. 39 indexed citations breakdown →
2.
Guo, Yangkun, Xiaoxun Zhang, Yongfang Zhou, et al.. (2025). Disruption of Hepatic Sinusoidal Homeostasis Leads to Hepatopulmonary Syndrome. Journal of Cellular and Molecular Medicine. 29(9). e70585–e70585. 1 indexed citations
3.
Liu, Zhiqiang, Bowen Wang, Songhang Li, et al.. (2025). Oral Administration of a Tetrahedral Framework DNA-Based Nanoshot Attenuates Liver Fibrosis via Targeting Galectin-3. ACS Nano. 19(26). 23876–23892. 1 indexed citations
4.
Gao, Jinhang, Tian Lan, Enis Kostallari, et al.. (2024). Angiocrine signaling in sinusoidal homeostasis and liver diseases. Journal of Hepatology. 81(3). 543–561. 32 indexed citations
5.
Guo, Yangkun, et al.. (2024). Liver Cell Mitophagy in Metabolic Dysfunction-Associated Steatotic Liver Disease and Liver Fibrosis. Antioxidants. 13(6). 729–729. 11 indexed citations
6.
Zhao, Chong, Yang Tai, Yangkun Guo, et al.. (2023). Proangiogenic role of circRNA‐007371 in liver fibrosis. Cell Proliferation. 56(6). e13432–e13432. 12 indexed citations
7.
Cheng, Mei, Yifan Liu, Yangkun Guo, et al.. (2023). Pan-cancer analysis reveals signal transducer and activator of transcription (STAT) gene family as biomarkers for prognostic prediction and therapeutic guidance. Frontiers in Genetics. 14. 1120500–1120500. 1 indexed citations
8.
Xiao, Yang, Chong Zhao, Yang Tai, et al.. (2023). STING mediates hepatocyte pyroptosis in liver fibrosis by Epigenetically activating the NLRP3 inflammasome. Redox Biology. 62. 102691–102691. 104 indexed citations breakdown →
9.
Guo, Yangkun, Chong Zhao, Bowen Wang, et al.. (2023). C-C motif chemokine receptor 2 inhibition reduces liver fibrosis by restoring the immune cell landscape. International Journal of Biological Sciences. 19(8). 2572–2587. 15 indexed citations
10.
Tian, Taoran, Songhang Li, Zhiyin Huang, et al.. (2023). Liver-Targeted Delivery of Small Interfering RNA of C–C Chemokine Receptor 2 with Tetrahedral Framework Nucleic Acid Attenuates Liver Cirrhosis. ACS Applied Materials & Interfaces. 15(8). 10492–10505. 27 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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