Wei Ge
- Genetics top 0.5%
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 21
- Pollution top 1%
- Microplastics and Plastic Pollution 12
- Transplantation top 2%
- Immunology top 2%
- Immunotherapy and Immune Responses 14
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- Reproductive Biology and Fertility 27
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- Pluripotent Stem Cells Research 23
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- Plant Molecular Biology Research 18
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- Lung Cancer Treatments and Mutations 17
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- Effects and risks of endocrine disrupting chemicals 17
- Cited by
- GeneticsCancer ResearchPollution
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Wei Ge
300 papers receiving 8.2k citations
Peers
Comparison fields: 5 of 182
- Genetics 1.2k
- Cancer Research 1.1k
- Pollution 640
- Transplantation 145
- Immunology 1.1k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 27 | |
| 9 | 2023 | 14 | |
| 10 | 2021 | 7 | |
| 11 | Establishment of Simple Nomograms for Predicting Axillary Lymph Node Involvement in Early Breast Cancer | 2020 | 1 |
| 12 | RRAD suppresses the Warburg effect by downregulating ACTG1 in hepatocellular carcinoma | 2019 | 1 |
| 13 | 2016 | 49 | |
| 14 | 2016 | 1 | |
| 15 | 2010 | 51 | |
| 16 | Retrospective Analyses of Nedaplatin-Contained Therapy for Carcinoma | 2010 | 1 |
| 17 | 2009 | 204 | |
| 18 | TWO EXISTENCE THEOREMS OF PERIODIC SOLUTIONS FOR DIFFERENTIAL DELAY EQUATIONS | 1994 | 8 |
| 19 | 1985 | 1 | |
| 20 | TOPOGRAPHIC CORRECTION FOR THE DC APPARENT RESISTIVITY METHOD OF ELECTRICAL PROSPECTING | 1977 | 2 |
About Wei Ge
Wei Ge is a scholar working on Cancer Research, Molecular Biology and Immunology, having authored 313 papers that have together received 8.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (27 papers), Pluripotent Stem Cells Research (23 papers), Cancer-related molecular mechanisms research (21 papers), Plant Molecular Biology Research (18 papers), Lung Cancer Treatments and Mutations (17 papers), Effects and risks of endocrine disrupting chemicals (17 papers), Immunotherapy and Immune Responses (14 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) and Pollution (640 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, Dedong Cao, Wei Shen, Huilin Xu, Shengguo You, Qin Han and Lianming Liao. Their work appears in journals such as Oncotarget, Scientific Reports, Cell Death and Disease, Aging and PLoS ONE.
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.