Wei Ge
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Genetic and phenotypic traits in livestock
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
Papers in
-
- Pluripotent Stem Cells Research 23
-
- Cancer-related molecular mechanisms research 17
- Co-authors
- Chao Chai (25 shared papers)Wei Shen (37 shared papers)Jun Ren (10 shared papers)Ximing Xu (20 shared papers)Wei Shen (19 shared papers)Dedong Cao (15 shared papers)Shengguo You (7 shared papers)Huilin Xu (14 shared papers)
- Journals
- Oncotarget (11 papers)Scientific Reports (7 papers)Cell Death and Disease (7 papers)PLoS ONE (6 papers)Aging (6 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Wei Ge
305 papers receiving 8.8k citations
Wei Ge's Hit Papers
Peers
Comparison fields: 5 of 185
- Genetics 1.2k
- Cancer Research 1.1k
- Pollution 668
- Urology 285
- Health, Toxicology and Mutagenesis 671
Countries citing papers authored by Wei Ge
This map shows the geographic impact of Wei 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 Wei Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ge more than expected).
Fields of papers citing papers by Wei Ge
This network shows the impact of papers produced by Wei 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 Wei Ge. The network helps show where Wei Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 319 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Endometrial regenerative cells: A novel stem cell population Hit paper breakdown → | 2007 | 504 |
| 2 | 2004 | 424 | |
| 3 | 2010 | 291 | |
| 4 | 2015 | 243 | |
| 5 | 2009 | 208 | |
| 6 | 2019 | 151 | |
| 7 | 2005 | 127 | |
| 8 | 2008 | 118 | |
| 9 | 1991 | 117 | |
| 10 | 2003 | 113 | |
| 11 | 2019 | 108 | |
| 12 | 2001 | 108 | |
| 13 | 2021 | 105 | |
| 14 | 2020 | 104 | |
| 15 | 2020 | 100 | |
| 16 | 2016 | 100 | |
| 17 | 2020 | 99 | |
| 18 | 2015 | 98 | |
| 19 | 2021 | 98 | |
| 20 | 2014 | 98 |
About Wei Ge
Wei Ge is a scholar working on Molecular Biology, Cancer Research, Plant Science, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 319 papers that have together received 9.0k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (28 papers), Pluripotent Stem Cells Research (23 papers), Plant Molecular Biology Research (18 papers), Cancer-related molecular mechanisms research (17 papers), Effects and risks of endocrine disrupting chemicals (17 papers), Lung Cancer Treatments and Mutations (15 papers), Immunotherapy and Immune Responses (12 papers) and Microplastics and Plastic Pollution (12 papers). The work is most often cited by research in Genetics (1.2k citations), Cancer Research (1.1k citations), Pollution (668 citations), Urology (285 citations) and Health, Toxicology and Mutagenesis (671 citations). Wei Ge has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Chao Chai, Wei Shen, Jun Ren, Ximing Xu, Wei Shen, Dedong Cao, Shengguo You, Huilin Xu, Lianming Liao and Qin Han. Their work appears in journals such as Oncotarget, Scientific Reports, Cell Death and Disease, PLoS ONE and Aging.
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.