Linlin Wei
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- NF-κB Signaling Pathways
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- Traditional Chinese Medicine Analysis
Papers in
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- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 2
- Microbial Metabolic Engineering and Bioproduction 2
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
- Breast Cancer Treatment Studies 2
- NF-κB Signaling Pathways 2
- Co-authors
- Hui Ji (2 shared papers)Tong Chen (1 shared paper)Jiani Tan (1 shared paper)Zhangjian Huang (1 shared paper)Yixue Qiao (1 shared paper)Tingting Wei (1 shared paper)Sixun Peng (1 shared paper)Yi Mou (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)International Immunopharmacology (2 papers)Nephrology (1 paper)Cancer Biomarkers (1 paper)JCI Insight (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Linlin Wei
26 papers receiving 503 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 81
- Complementary and alternative medicine 41
- Immunology 98
- Biological Psychiatry 10
- Nephrology 24
Countries citing papers authored by Linlin Wei
This map shows the geographic impact of Linlin 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 Linlin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linlin Wei more than expected).
Fields of papers citing papers by Linlin Wei
This network shows the impact of papers produced by Linlin 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 Linlin Wei. The network helps show where Linlin Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Linlin 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 136 | |
| 2 | 2015 | 69 | |
| 3 | 2017 | 36 | |
| 4 | 2020 | 26 | |
| 5 | 2019 | 25 | |
| 6 | 2016 | 21 | |
| 7 | 2022 | 20 | |
| 8 | 2020 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 15 | |
| 12 | 2021 | 14 | |
| 13 | 2022 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2022 | 7 |
About Linlin Wei
Linlin Wei is a scholar working on Molecular Biology, Cancer Research, Genetics, Biomedical Engineering and Surgery, having authored 26 papers that have together received 509 indexed citations. Recurring topics across this work include Cancer-related gene regulation (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Breast Cancer Treatment Studies (2 papers), Epigenetics and DNA Methylation (2 papers), NF-κB Signaling Pathways (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Cancer Research (81 citations), Complementary and alternative medicine (41 citations), Immunology (98 citations), Biological Psychiatry (10 citations) and Nephrology (24 citations). Linlin Wei has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Hui Ji, Tong Chen, Jiani Tan, Zhangjian Huang, Yixue Qiao, Tingting Wei, Sixun Peng, Yi Mou, Yihua Zhang and Bo Wei. Their work appears in journals such as Frontiers in Immunology, International Immunopharmacology, Nephrology, Cancer Biomarkers and JCI Insight.
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.