Yuning Wei
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- 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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- Metabolomics and Mass Spectrometry Studies 3
- RNA Research and Splicing 3
- RNA modifications and cancer 2
-
- 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)Yan Zheng (3 shared papers)Katarzyna Bożek (3 shared papers)Patrick Giavalisco (3 shared papers)Svante Pääbo (3 shared papers)
- Journals
- Nature Communications (3 papers)Nature (2 papers)Cell Research (1 paper)Neuron (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yuning Wei
15 papers receiving 1.8k citations
Yuning Wei's Hit Papers
Peers
Comparison fields: 5 of 118
- Cancer Research 822
- Molecular Biology 1.2k
- Aging 25
- Endocrinology 35
- Biological Psychiatry 15
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 | 1010 |
| 2 | 2015 | 140 | |
| 3 | 2018 | 138 | |
| 4 | 2015 | 130 | |
| 5 | 2014 | 77 | |
| 6 | 2015 | 65 | |
| 7 | 2018 | 65 | |
| 8 | 2020 | 62 | |
| 9 | 2014 | 58 | |
| 10 | 2020 | 41 | |
| 11 | 2021 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2023 | 6 | |
| 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 1.8k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (3 papers), RNA Research and Splicing (3 papers), Adipose Tissue and Metabolism (2 papers), RNA modifications and cancer (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Cancer Research (822 citations), Molecular Biology (1.2k citations), Aging (25 citations), Endocrinology (35 citations) and Biological Psychiatry (15 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, Yan Zheng, Katarzyna Bożek, Patrick Giavalisco, Svante Pääbo, Patrick R. Hof and Lothar Willmitzer. Their work appears in journals such as Nature Communications, Nature, Cell Research, Neuron and Frontiers in Microbiology.
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.