Junyi Gao
Impact in
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- Cervical and Thoracic Myelopathy
- Spinal Fractures and Fixation Techniques
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- MicroRNA in disease regulation
Papers in
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- Extracellular vesicles in disease 2
- Advanced biosensing and bioanalysis techniques 2
- PI3K/AKT/mTOR signaling in cancer 2
- Oncology 6
- Pancreatic and Hepatic Oncology Research 4
- Cancer Cells and Metastasis 2
- Co-authors
- Bin Xu (1 shared paper)Hui Meng (1 shared paper)Xiangdong Lu (1 shared paper)Quan Liao (7 shared papers)Tong Li (5 shared papers)Ming Cui (5 shared papers)Yalu Zhang (4 shared papers)Ronghua Zhang (3 shared papers)
- Journals
- Cancer Immunology Immunotherapy (2 papers)Journal of Gastrointestinal Surgery (2 papers)Cancer Letters (1 paper)Carcinogenesis (1 paper)Materials Today Bio (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Junyi Gao
19 papers receiving 328 citations
Peers
Comparison fields: 5 of 64
- Surgery 108
- Cancer Research 37
- Oncology 65
- Immunology 48
- Biological Psychiatry 5
Countries citing papers authored by Junyi Gao
This map shows the geographic impact of Junyi Gao'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 Junyi Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyi Gao more than expected).
Fields of papers citing papers by Junyi Gao
This network shows the impact of papers produced by Junyi Gao. 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 Junyi Gao. The network helps show where Junyi Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyi Gao, 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 | 2016 | 97 | |
| 2 | 2020 | 47 | |
| 3 | 2024 | 31 | |
| 4 | 2021 | 28 | |
| 5 | 2019 | 21 | |
| 6 | 2024 | 18 | |
| 7 | 2017 | 18 | |
| 8 | 2020 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2019 | 11 | |
| 11 | 2018 | 11 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2015 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 |
About Junyi Gao
Junyi Gao is a scholar working on Molecular Biology, Oncology, Surgery, Biomedical Engineering and Immunology, having authored 19 papers that have together received 334 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), Cancer Cells and Metastasis (2 papers), Immune cells in cancer (2 papers), Extracellular vesicles in disease (2 papers), Anatomy and Medical Technology (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Simulation-Based Education in Healthcare (1 paper). The work is most often cited by research in Surgery (108 citations), Cancer Research (37 citations), Oncology (65 citations), Immunology (48 citations) and Biological Psychiatry (5 citations). Junyi Gao has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Bin Xu, Hui Meng, Xiangdong Lu, Quan Liao, Tong Li, Ming Cui, Yalu Zhang, Ronghua Zhang, Xiang Zhang and Mengyi Wang. Their work appears in journals such as Cancer Immunology Immunotherapy, Journal of Gastrointestinal Surgery, Cancer Letters, Carcinogenesis and Materials Today Bio.
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.