Fengxia Gao
Impact in
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- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Epigenetics and DNA Methylation 3
- vaccines and immunoinformatics approaches 3
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- SARS-CoV-2 and COVID-19 Research 3
- COVID-19 Clinical Research Studies 2
- Co-authors
- Tianyang Dai (5 shared papers)Xuemei He (5 shared papers)Yang Long (3 shared papers)Tao Xu (2 shared papers)Fei Han (3 shared papers)Zhi Hu (2 shared papers)Mei Qin (3 shared papers)Jian Wu (1 shared paper)
- Journals
- Genes & Diseases (2 papers)BMC Cancer (2 papers)iScience (1 paper)Journal of Experimental & Clinical Cancer Research (1 paper)Science Advances (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Fengxia Gao
16 papers receiving 327 citations
Peers
Comparison fields: 5 of 73
- Immunology 111
- Infectious Diseases 64
- Cancer Research 49
- Oncology 72
- Molecular Biology 119
Countries citing papers authored by Fengxia Gao
This map shows the geographic impact of Fengxia 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 Fengxia Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengxia Gao more than expected).
Fields of papers citing papers by Fengxia Gao
This network shows the impact of papers produced by Fengxia 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 Fengxia Gao. The network helps show where Fengxia Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengxia 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 | 2019 | 146 | |
| 2 | 2019 | 35 | |
| 3 | 2022 | 33 | |
| 4 | 2021 | 27 | |
| 5 | 2018 | 24 | |
| 6 | 2021 | 19 | |
| 7 | 2020 | 15 | |
| 8 | 2021 | 8 | |
| 9 | 2024 | 6 | |
| 10 | 2025 | 5 | |
| 11 | [Effect of Epithelial-to-mesenchymal Transition on Biological Activity of NK Cells in Esophageal Squamous Cell Carcinoma]. | 2019 | 4 |
| 12 | 2025 | 3 | |
| 13 | 2024 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2024 | 0 |
About Fengxia Gao
Fengxia Gao is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Cancer Research, having authored 17 papers that have together received 329 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Epigenetics and DNA Methylation (3 papers), Autophagy in Disease and Therapy (3 papers), vaccines and immunoinformatics approaches (3 papers), Immune Cell Function and Interaction (2 papers), COVID-19 Clinical Research Studies (2 papers), Cancer-related molecular mechanisms research (2 papers) and Laser Material Processing Techniques (1 paper). The work is most often cited by research in Immunology (111 citations), Infectious Diseases (64 citations), Cancer Research (49 citations), Oncology (72 citations) and Molecular Biology (119 citations). Fengxia Gao has collaborated with scholars based in China and United States. Frequent co-authors include Tianyang Dai, Xuemei He, Yang Long, Tao Xu, Fei Han, Zhi Hu, Mei Qin, Jian Wu, Xin Deng and Chao Wang. Their work appears in journals such as Genes & Diseases, BMC Cancer, iScience, Journal of Experimental & Clinical Cancer Research and Science Advances.
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.