Gang Wei
- Molecular Biology top 0.2%
- Immunology top 0.5%
- Genetics top 1%
- Cancer Research top 1%
- Oncology top 2%
- Co-authors
- Keji ZhaoKairong CuiTae‐Young RohDustin E. SchonesArtem BarskiSuresh CuddapahZhibin WangIouri Chepelev
- Topics
- Epigenetics and DNA Methylation (34 papers)Genomics and Chromatin Dynamics (32 papers)Amphibian and Reptile Biology (26 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Gang Wei
174 papers receiving 14.7k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 10.5k
- Immunology 3.0k
- Genetics 1.6k
- Cancer Research 1.5k
- Oncology 1.3k
Countries citing papers authored by Gang Wei
This map shows the geographic impact of Gang Wei'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 Gang Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Wei more than expected).
Fields of papers citing papers by Gang Wei
This network shows the impact of papers produced by Gang Wei. 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 Gang Wei. The network helps show where Gang Wei may publish in the future.
Co-authorship network of co-authors of Gang Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Wei. A scholar is included among the top collaborators of Gang Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Wei. Gang Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 35 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 32 | |
| 9 | 121 | |
| 10 | 19 | |
| 11 | Failure to detect the Chinese giant salamander (Andrias davidianus) in Fanjingshan National Nature Reserve, Guizhou Province, China | 11 |
| 12 | 13 | |
| 13 | 24 | |
| 14 | 260 | |
| 15 | 2 | |
| 16 | Abnormalities in Osteoclastogenesis and Decreased Tumorigenesis in Mice Deficient for Ovarian Cancer G Protein-Coupled Receptor 1 | 2 |
| 17 | 3D NUMERICAL SIMULATION OF EFFECT OF UNDERGROUND URBAN STREET-PASSAGE TUNNEL CONSTRUCTION ON ADJACENT PIPELINE | 3 |
| 18 | Review on the Systematics of the Genus Oreolalax | 2 |
| 19 | 22 | |
| 20 | A preliminary study on the reproduction of Psedobafrus nitidus | 1 |
About Gang Wei
Gang Wei is a scholar working on Ecological Modeling, Molecular Biology and Global and Planetary Change, having authored 178 papers that have together received 14.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (34 papers), Genomics and Chromatin Dynamics (32 papers) and Amphibian and Reptile Biology (26 papers). The work is most often cited by research in Molecular Biology (10.5k citations), Immunology (3.0k citations) and Cancer Research (1.5k citations). Gang Wei has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Keji Zhao, Kairong Cui, Tae‐Young Roh, Dustin E. Schones, Artem Barski, Suresh Cuddapah, Zhibin Wang, Iouri Chepelev, Jinfang Zhu and William E. Paul. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.