Yan Gu
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Galectins and Cancer Biology
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- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
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- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 2
- Co-authors
- Xuetao Cao (2 shared papers)Yi Zhang (2 shared papers)Yanmei Han (1 shared paper)Xiang Zhang (1 shared paper)Yanfang Liu (1 shared paper)Zhengping Jiang (1 shared paper)Jie Zhu (1 shared paper)Peng Zhang (1 shared paper)
- Journals
- Cellular Physiology and Biochemistry (2 papers)Scientific Reports (1 paper)Nature Medicine (1 paper)Medicine (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yan Gu
17 papers receiving 436 citations
Peers
Comparison fields: 5 of 88
- Immunology 178
- Oncology 138
- Cancer Research 61
- Molecular Biology 170
- Genetics 22
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-authors
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 | 2019 | 184 | |
| 2 | 2016 | 87 | |
| 3 | 2012 | 42 | |
| 4 | 2012 | 26 | |
| 5 | Association between COMT gene and Chinese male schizophrenic patients with violent behavior. | 2009 | 23 |
| 6 | 2012 | 18 | |
| 7 | 2021 | 15 | |
| 8 | Identification of candidate targets for the diagnosis and treatment of atherosclerosis by bioinformatics analysis. | 2021 | 15 |
| 9 | 2020 | 14 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2026 | 0 |
About Yan Gu
Yan Gu is a scholar working on Molecular Biology, Cancer Research, Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 441 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers), Acute Ischemic Stroke Management (2 papers), T-cell and B-cell Immunology (2 papers), Genetic Associations and Epidemiology (2 papers), Immunotherapy and Immune Responses (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Immunology (178 citations), Oncology (138 citations), Cancer Research (61 citations), Molecular Biology (170 citations) and Genetics (22 citations). Yan Gu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xuetao Cao, Yi Zhang, Yanmei Han, Xiang Zhang, Yanfang Liu, Zhengping Jiang, Jie Zhu, Peng Zhang, Lili Zhai and Yingming Jiang. Their work appears in journals such as Cellular Physiology and Biochemistry, Scientific Reports, Nature Medicine, Medicine and Frontiers in Bioengineering and Biotechnology.
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.