Yan Gu
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 3
- Immunology top 5%
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 3
- interferon and immune responses 2
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 3
- Cancer-related gene regulation 3
- Genomics, phytochemicals, and oxidative stress 2
- Hematology top 5%
- Genetics top 10%
-
- Dialysis and Renal Disease Management 3
- Journals
- Nature Communications (2 papers)Nature (2 papers)Signal Transduction and Targeted Therapy (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yan Gu
47 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cancer Research 727
- Immunology 672
- Molecular Biology 1.7k
- Hematology 222
- Genetics 144
Countries citing papers authored by Yan Gu
This map shows the geographic impact of Yan Gu'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 Yan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Gu more than expected).
Fields of papers citing papers by Yan Gu
This network shows the impact of papers produced by Yan Gu. 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 Yan Gu. The network helps show where Yan Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 4 | |
| 8 | Mettl3-mediated mRNA m6A methylation promotes dendritic cell activationbreakdown → | 2019 | 388 |
| 9 | 2017 | 11 | |
| 10 | 2017 | 20 | |
| 11 | 2016 | 6 | |
| 12 | Tumor Exosomal RNAs Promote Lung Pre-metastatic Niche Formation by Activating Alveolar Epithelial TLR3 to Recruit Neutrophilsbreakdown → | 2016 | 531 |
| 13 | 2016 | 2 | |
| 14 | Tet2 is required to resolve inflammation by recruiting Hdac2 to specifically repress IL-6breakdown → | 2015 | 609 |
| 15 | 2015 | 77 | |
| 16 | 2015 | 10 | |
| 17 | 2014 | 30 | |
| 18 | 2010 | 13 | |
| 19 | 2009 | 28 | |
| 20 | 2005 | 53 |
About Yan Gu
Yan Gu is a scholar working on Immunology, Toxicology and Nephrology, having authored 47 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Genomics and Phylogenetic Studies (3 papers), Dialysis and Renal Disease Management (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer-related gene regulation (3 papers), T-cell and B-cell Immunology (3 papers), interferon and immune responses (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Cancer Research (727 citations), Immunology (672 citations) and Molecular Biology (1.7k citations). Yan Gu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xuetao Cao, Yanmei Han, Xiang Zhang, Yanfang Liu, Xiaoqing Xu, Zhengping Jiang, Kai Zhao, Qicong Shen, Bo Huang and Jianming Zheng. Their work appears in journals such as Nature Communications, Nature, Signal Transduction and Targeted Therapy, Clinical Epigenetics and Frontiers in Psychiatry.
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.