Yuning Wei
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Circular RNAs in diseases
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
Papers in
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- Wound Healing and Treatments 2
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- RNA Research and Splicing 4
- Metabolomics and Mass Spectrometry Studies 3
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 1
- Co-authors
- Paul A. Khavari (3 shared papers)Julia Dory Ransohoff (1 shared paper)Philipp Khaitovich (4 shared papers)Howard Y. Chang (5 shared papers)Katarzyna Bożek (3 shared papers)Patrick Giavalisco (3 shared papers)Svante Pääbo (3 shared papers)Yan Zheng (3 shared papers)
- Journals
- Nature Communications (3 papers)Nature (2 papers)Neuron (1 paper)Cell stem cell (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Yuning Wei
20 papers receiving 2.6k citations
Yuning Wei's Hit Papers
Peers
Comparison fields: 5 of 126
- Cancer Research 913
- Molecular Biology 1.7k
- Aging 29
- Rehabilitation 94
- Immunology 210
Countries citing papers authored by Yuning Wei
This map shows the geographic impact of Yuning 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 Yuning Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuning Wei more than expected).
Fields of papers citing papers by Yuning Wei
This network shows the impact of papers produced by Yuning 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 Yuning Wei. The network helps show where Yuning Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuning 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 | The functions and unique features of long intergenic non-coding RNA Hit paper breakdown → | 2017 | 1038 |
| 2 | 2017 | 346 | |
| 3 | 2015 | 151 | |
| 4 | 2018 | 146 | |
| 5 | 2015 | 136 | |
| 6 | 2018 | 119 | |
| 7 | 2020 | 112 | |
| 8 | 2014 | 78 | |
| 9 | 2021 | 76 | |
| 10 | 2015 | 71 | |
| 11 | 2018 | 66 | |
| 12 | 2014 | 64 | |
| 13 | 2020 | 64 | |
| 14 | 2020 | 62 | |
| 15 | 2020 | 43 | |
| 16 | 2022 | 10 | |
| 17 | 2024 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2021 | 3 |
About Yuning Wei
Yuning Wei is a scholar working on Rehabilitation, Molecular Biology, Physiology, Cancer Research and Genetics, having authored 20 papers that have together received 2.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), RNA modifications and cancer (3 papers), Adipose Tissue and Metabolism (2 papers), T-cell and B-cell Immunology (2 papers), Wound Healing and Treatments (2 papers), CRISPR and Genetic Engineering (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (913 citations), Molecular Biology (1.7k citations), Aging (29 citations), Rehabilitation (94 citations) and Immunology (210 citations). Yuning Wei has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Paul A. Khavari, Julia Dory Ransohoff, Philipp Khaitovich, Howard Y. Chang, Katarzyna Bożek, Patrick Giavalisco, Svante Pääbo, Yan Zheng, Patrick R. Hof and Hani Choudhry. Their work appears in journals such as Nature Communications, Nature, Neuron, Cell stem cell and Nature Medicine.
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.