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
- Circular RNAs in diseases
- Muscle Physiology and Disorders
- RNA and protein synthesis mechanisms
- Single-cell and spatial transcriptomics
Papers in
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- RNA Research and Splicing 3
- Metabolomics and Mass Spectrometry Studies 3
- RNA modifications and cancer 3
- Single-cell and spatial transcriptomics 1
-
- Adipose Tissue and Metabolism 2
- Co-authors
- Paul A. Khavari (3 shared papers)Julia D. Ransohoff (1 shared paper)Philipp Khaitovich (4 shared papers)Howard Y. Chang (5 shared papers)Patrick Giavalisco (3 shared papers)Yan Zheng (3 shared papers)Svante Pääbo (3 shared papers)Katarzyna Bożek (3 shared papers)
- Journals
- Nature Communications (3 papers)Nature (2 papers)PLoS Biology (1 paper)Cell Research (1 paper)Nature Reviews Molecular Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yuning Wei
15 papers receiving 1.7k citations
Yuning Wei's Hit Papers
Peers
Comparison fields: 5 of 118
- Cancer Research 882
- Molecular Biology 1.3k
- Aging 22
- Endocrinology 36
- Biological Psychiatry 16
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 | 974 |
| 2 | 2015 | 134 | |
| 3 | 2018 | 133 | |
| 4 | 2015 | 121 | |
| 5 | 2014 | 69 | |
| 6 | 2018 | 59 | |
| 7 | 2015 | 59 | |
| 8 | 2020 | 56 | |
| 9 | 2014 | 56 | |
| 10 | 2020 | 37 | |
| 11 | 2021 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2021 | 3 |
About Yuning Wei
Yuning Wei is a scholar working on Molecular Biology, Physiology, Genetics, Plant Science and Cancer Research, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), RNA modifications and cancer (3 papers), Adipose Tissue and Metabolism (2 papers), Single-cell and spatial transcriptomics (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Mesenchymal stem cell research (1 paper) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Cancer Research (882 citations), Molecular Biology (1.3k citations), Aging (22 citations), Endocrinology (36 citations) and Biological Psychiatry (16 citations). Yuning Wei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Paul A. Khavari, Julia D. Ransohoff, Philipp Khaitovich, Howard Y. Chang, Patrick Giavalisco, Yan Zheng, Svante Pääbo, Katarzyna Bożek, Masaru Tomita and Hani Choudhry. Their work appears in journals such as Nature Communications, Nature, PLoS Biology, Cell Research and Nature Reviews Molecular Cell Biology.
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.