Yang Gu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Complement system in diseases
Papers in
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- Circular RNAs in diseases 2
- Oncology 4
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Ziying Li (2 shared papers)Changyuan Yu (1 shared paper)Ting Lu (1 shared paper)Xiaodong Zheng (1 shared paper)Pengpeng Liu (1 shared paper)Haopeng Lin (1 shared paper)Deliang Guo (1 shared paper)Zhisu Liu (1 shared paper)
- Journals
- Bioscience Reports (1 paper)Phytomedicine (1 paper)Journal of Medical Virology (1 paper)International Journal of Biological Sciences (1 paper)Translational Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Yang Gu
11 papers receiving 83 citations
Peers
Comparison fields: 5 of 45
- Cancer Research 23
- Immunology 18
- Health Informatics 1
- Pulmonary and Respiratory Medicine 24
- Oncology 16
Countries citing papers authored by Yang Gu
This map shows the geographic impact of Yang 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 Yang Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Gu more than expected).
Fields of papers citing papers by Yang Gu
This network shows the impact of papers produced by Yang 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 Yang Gu. The network helps show where Yang Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 | 2023 | 29 | |
| 2 | 2022 | 17 | |
| 3 | 2019 | 12 | |
| 4 | 2020 | 7 | |
| 5 | 2020 | 4 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 3 | |
| 8 | [Interstitial implantation of ¹²⁵I seed therapy for recurrent ovarian cancer]. | 2012 | 2 |
| 9 | 2020 | 2 | |
| 10 | [CT guided 125I seeds implantation in treatment of local recurrent rectal cancer after surgery resection: analysis of 21 cases]. | 2008 | 2 |
| 11 | Study on the correlation between ultrasonic imaging features in breast cancer and the expression of ER, PR, HER-2 and nm23 | 2017 | 1 |
About Yang Gu
Yang Gu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Immunology and Cancer Research, having authored 11 papers that have together received 83 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Circular RNAs in diseases (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Colorectal and Anal Carcinomas (1 paper), MicroRNA in disease regulation (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Inflammation biomarkers and pathways (1 paper) and Airway Management and Intubation Techniques (1 paper). The work is most often cited by research in Cancer Research (23 citations), Immunology (18 citations), Health Informatics (1 citation), Pulmonary and Respiratory Medicine (24 citations) and Oncology (16 citations). Yang Gu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Ziying Li, Changyuan Yu, Ting Lu, Xiaodong Zheng, Pengpeng Liu, Haopeng Lin, Deliang Guo, Zhisu Liu, Haining Fan and Dagui Lin. Their work appears in journals such as Bioscience Reports, Phytomedicine, Journal of Medical Virology, International Journal of Biological Sciences and Translational Cancer Research.
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.