Han Ge
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- RNA and protein synthesis mechanisms
- Cancer-related gene regulation
- Protein Degradation and Inhibitors
Papers in
-
- RNA modifications and cancer 10
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 2
- Protein Degradation and Inhibitors 2
- Oncology 14
- Cancer survivorship and care 5
- Co-authors
- Yanling Wang (14 shared papers)Jie Cheng (9 shared papers)Dongmiao Wang (9 shared papers)Yangyang Cui (5 shared papers)Shui Wang (4 shared papers)Mingjie Zheng (5 shared papers)Yaping Wu (7 shared papers)Hui Xie (5 shared papers)
- Journals
- Oral Diseases (4 papers)Future Oncology (2 papers)Cell Death and Disease (2 papers)Head & Neck (2 papers)Journal of Cellular Physiology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Han Ge
42 papers receiving 868 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 284
- Molecular Biology 499
- Oncology 143
- Otorhinolaryngology 14
- Immunology 58
Countries citing papers authored by Han Ge
This map shows the geographic impact of Han Ge'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 Han Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Ge more than expected).
Fields of papers citing papers by Han Ge
This network shows the impact of papers produced by Han Ge. 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 Han Ge. The network helps show where Han Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Ge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 82 | |
| 2 | 2021 | 68 | |
| 3 | 2010 | 52 | |
| 4 | 2019 | 48 | |
| 5 | 2019 | 47 | |
| 6 | 2023 | 46 | |
| 7 | 2019 | 46 | |
| 8 | 2022 | 43 | |
| 9 | 2018 | 41 | |
| 10 | 2019 | 38 | |
| 11 | 2018 | 31 | |
| 12 | 2020 | 27 | |
| 13 | 2022 | 27 | |
| 14 | 2019 | 25 | |
| 15 | 2020 | 21 | |
| 16 | 2019 | 21 | |
| 17 | 2020 | 21 | |
| 18 | 2009 | 21 | |
| 19 | 2020 | 20 | |
| 20 | 2023 | 17 |
About Han Ge
Han Ge is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 46 papers that have together received 869 indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (7 papers), Cancer survivorship and care (5 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Ubiquitin and proteasome pathways (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cancer Research (284 citations), Molecular Biology (499 citations), Oncology (143 citations), Otorhinolaryngology (14 citations) and Immunology (58 citations). Han Ge has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanling Wang, Jie Cheng, Dongmiao Wang, Yangyang Cui, Shui Wang, Mingjie Zheng, Yaping Wu, Hui Xie, Yue Huang and Yiqin Xia. Their work appears in journals such as Oral Diseases, Future Oncology, Cell Death and Disease, Head & Neck and Journal of Cellular Physiology.
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.