Guangmei Yan
- Cancer Research top 5%
- Oncology top 5%
- CAR-T cell therapy research 17
- Genetics top 5%
- Virus-based gene therapy research 29
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 10
- Histone Deacetylase Inhibitors Research 6
- Viral Infectious Diseases and Gene Expression in Insects 5
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- Neuroscience and Neuropharmacology Research 10
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- interferon and immune responses 7
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- Animal Virus Infections Studies 6
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)Journal of Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Guangmei Yan
98 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 127
- Cancer Research 379
- Oncology 476
- Genetics 463
- Molecular Biology 1.1k
- Complementary and alternative medicine 128
Countries citing papers authored by Guangmei Yan
This map shows the geographic impact of Guangmei Yan'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 Guangmei Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangmei Yan more than expected).
Fields of papers citing papers by Guangmei Yan
This network shows the impact of papers produced by Guangmei Yan. 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 Guangmei Yan. The network helps show where Guangmei Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guangmei Yan, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 36 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 14 | |
| 12 | 2020 | 7 | |
| 13 | 2018 | 28 | |
| 14 | 2017 | 53 | |
| 15 | 2017 | 6 | |
| 16 | 2012 | 49 | |
| 17 | 2011 | 19 | |
| 18 | 2010 | 9 | |
| 19 | 2009 | 27 | |
| 20 | Protective Effects of Polysaccharide from Holothuria atra on Apoptosis of Cortical Neurons Induced by Amyloid beta-Protein | 2000 | 1 |
About Guangmei Yan
Guangmei Yan is a scholar working on Genetics, Oncology and Biotechnology, having authored 107 papers that have together received 2.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (29 papers), CAR-T cell therapy research (17 papers), RNA Interference and Gene Delivery (10 papers), Neuroscience and Neuropharmacology Research (10 papers), interferon and immune responses (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Animal Virus Infections Studies (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). The work is most often cited by research in Cancer Research (379 citations), Oncology (476 citations) and Genetics (463 citations). Guangmei Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenbo Zhu, Yuan Lin, Pengxin Qiu, Minfeng Shu, Sihan Wu, Jun Hu, Jing Cai, Wei Yin, Yuehan Zhou and Xingwen Su. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.