Qingxia Wei
- Immunology top 5%
- Reproductive System and Pregnancy 5
- Obstetrics and Gynecology top 2%
- Reproductive Medicine top 5%
- Genetics top 5%
- Glioma Diagnosis and Treatment 3
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 4
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- RNA Interference and Gene Delivery 5
- CRISPR and Genetic Engineering 4
- Hedgehog Signaling Pathway Studies 4
- Advanced biosensing and bioanalysis techniques 4
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- Soft tissue tumor case studies 3
- Co-authors
- Benjamin A. AlmanHeather WhetstoneRaymond PoonPuviindran NadesanB. Anne CroyAli A. AshkarLinda ViGurpreet S. Baht
- Journals
- Cancer Research (3 papers)Nature Communications (2 papers)Critical Reviews in Eukaryotic Gene Expression (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Qingxia Wei
46 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 120
- Immunology 711
- Obstetrics and Gynecology 253
- Reproductive Medicine 230
- Genetics 245
- Cancer Research 330
Countries citing papers authored by Qingxia Wei
This map shows the geographic impact of Qingxia 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 Qingxia Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingxia Wei more than expected).
Fields of papers citing papers by Qingxia Wei
This network shows the impact of papers produced by Qingxia 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 Qingxia Wei. The network helps show where Qingxia Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qingxia Wei, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 0 | |
| 6 | 2021 | 4 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 18 | |
| 9 | 2018 | 107 | |
| 10 | 2015 | 163 | |
| 11 | 2014 | 59 | |
| 12 | 2013 | 14 | |
| 13 | 2013 | 44 | |
| 14 | 2012 | 39 | |
| 15 | 2007 | 319 | |
| 16 | 2004 | 26 | |
| 17 | 2003 | 210 | |
| 18 | 2003 | 167 | |
| 19 | 2003 | 0 | |
| 20 | 2002 | 113 |
About Qingxia Wei
Qingxia Wei is a scholar working on Reproductive Medicine, Immunology and Molecular Biology, having authored 49 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Reproductive System and Pregnancy (5 papers), CRISPR and Genetic Engineering (4 papers), Cancer-related molecular mechanisms research (4 papers), Hedgehog Signaling Pathway Studies (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Glioma Diagnosis and Treatment (3 papers) and Soft tissue tumor case studies (3 papers). The work is most often cited by research in Immunology (711 citations), Obstetrics and Gynecology (253 citations) and Reproductive Medicine (230 citations). Qingxia Wei has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Benjamin A. Alman, Heather Whetstone, Raymond Poon, Puviindran Nadesan, B. Anne Croy, Ali A. Ashkar, Linda Vi, Gurpreet S. Baht, Yan Chen and Alvin C. Lin. Their work appears in journals such as Cancer Research, Nature Communications, Critical Reviews in Eukaryotic Gene Expression, Analytical Chemistry and Journal of Visualized Experiments.
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.