Ge Shan
- Cancer Research top 0.1%
- MicroRNA in disease regulation 30
- Cancer-related molecular mechanisms research 30
- Molecular Biology top 1%
- Circular RNAs in diseases 35
- RNA modifications and cancer 31
- RNA Research and Splicing 31
- CRISPR and Genetic Engineering 8
- RNA regulation and disease 5
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 8
- Developmental Neuroscience top 10%
- Genetics top 10%
- Co-authors
- Liang ChenChuan HuangXiaolin WangBin YuQingfa WuFarooq RashidAbdullah ShahHuijie Liu
- Journals
- Nucleic Acids Research (5 papers)Proceedings of the National Academy of Sciences (5 papers)Nature Communications (4 papers)
- Partner nations
- ChinaUnited StatesGhana
In The Last Decade
Ge Shan
105 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 4.5k
- Molecular Biology 5.8k
- Aging 125
- Developmental Neuroscience 51
- Genetics 330
Countries citing papers authored by Ge Shan
This map shows the geographic impact of Ge Shan'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 Ge Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Shan more than expected).
Fields of papers citing papers by Ge Shan
This network shows the impact of papers produced by Ge Shan. 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 Ge Shan. The network helps show where Ge Shan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ge Shan, 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 | 2025 | 1 | |
| 4 | 2025 | 8 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 13 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 27 | |
| 15 | 2020 | 46 | |
| 16 | 2020 | 142 | |
| 17 | 2017 | 3 | |
| 18 | 2017 | 59 | |
| 19 | 2005 | 36 | |
| 20 | [The inhibiting effect of glycyrrhizin on proliferation of the mice submandibular gland fibrosarcoma cell line in vitro]. | 1998 | 1 |
About Ge Shan
Ge Shan is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 108 papers that have together received 6.4k indexed citations. Recurring topics across this work include Circular RNAs in diseases (35 papers), RNA modifications and cancer (31 papers), RNA Research and Splicing (31 papers), MicroRNA in disease regulation (30 papers), Cancer-related molecular mechanisms research (30 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), CRISPR and Genetic Engineering (8 papers) and RNA regulation and disease (5 papers). The work is most often cited by research in Cancer Research (4.5k citations), Molecular Biology (5.8k citations) and Aging (125 citations). Ge Shan has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Liang Chen, Chuan Huang, Xiaolin Wang, Bin Yu, Qingfa Wu, Farooq Rashid, Abdullah Shah, Huijie Liu, Mei Lin and Zhaoyong Li. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, Nature Communications, Experimental Eye Research and Cancer Letters.
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.