Jingyao Gu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 8
- RNA Research and Splicing 3
- Circular RNAs in diseases 2
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- Cancer-related molecular mechanisms research 7
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Zhenyao Chen (7 shared papers)Zhaoxia Wang (7 shared papers)Tianyao Lei (5 shared papers)Jiali Huang (4 shared papers)Qinnan Chen (2 shared papers)Binbin Lu (2 shared papers)Zhixiang Cheng (2 shared papers)Xin Chen (3 shared papers)
- Journals
- Clinica Chimica Acta (2 papers)Frontiers in Oncology (1 paper)Aging (1 paper)Cell Death and Disease (1 paper)Journal of Biomedical Science (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Jingyao Gu
11 papers receiving 318 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 215
- Molecular Biology 275
- Pulmonary and Respiratory Medicine 48
- Oncology 30
- Soil Science 8
Countries citing papers authored by Jingyao Gu
This map shows the geographic impact of Jingyao 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 Jingyao Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyao Gu more than expected).
Fields of papers citing papers by Jingyao Gu
This network shows the impact of papers produced by Jingyao 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 Jingyao Gu. The network helps show where Jingyao Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingyao 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 | 2020 | 87 | |
| 2 | 2020 | 87 | |
| 3 | 2019 | 52 | |
| 4 | 2020 | 27 | |
| 5 | 2020 | 17 | |
| 6 | 2024 | 11 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 3 |
About Jingyao Gu
Jingyao Gu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Pathology and Forensic Medicine and Civil and Structural Engineering, having authored 11 papers that have together received 321 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (7 papers), RNA Research and Splicing (3 papers), Cancer, Lipids, and Metabolism (2 papers), Circular RNAs in diseases (2 papers), Phagocytosis and Immune Regulation (1 paper), Soil erosion and sediment transport (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Cancer Research (215 citations), Molecular Biology (275 citations), Pulmonary and Respiratory Medicine (48 citations), Oncology (30 citations) and Soil Science (8 citations). Jingyao Gu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Zhenyao Chen, Zhaoxia Wang, Tianyao Lei, Jiali Huang, Qinnan Chen, Binbin Lu, Zhixiang Cheng, Xin Chen, Xin Chen and Ming Sun. Their work appears in journals such as Clinica Chimica Acta, Frontiers in Oncology, Aging, Cell Death and Disease and Journal of Biomedical Science.
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.