Luwen Ning
Impact in
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- Cancer Genomics and Diagnostics
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Single-cell and spatial transcriptomics
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
Papers in
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- Genomics and Phylogenetic Studies 4
- Machine Learning in Bioinformatics 3
- Single-cell and spatial transcriptomics 2
- RNA and protein synthesis mechanisms 2
- Bioinformatics and Genomic Networks 1
- Genetics 2
- Co-authors
- Feng‐Biao Guo (4 shared papers)Wen Wei (2 shared papers)Yuan‐Nong Ye (2 shared papers)Jiankui He (3 shared papers)Guibo Li (1 shared paper)Yong Hou (1 shared paper)Geng Liu (1 shared paper)Yao Chen (2 shared papers)
- Journals
- PLoS ONE (3 papers)Frontiers in Oncology (1 paper)Scientific Reports (1 paper)The Journal of Pathology (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Luwen Ning
8 papers receiving 239 citations
Peers
Comparison fields: 5 of 53
- Cancer Research 62
- Molecular Biology 188
- Genetics 41
- Oncology 37
- Endocrinology 6
Countries citing papers authored by Luwen Ning
This map shows the geographic impact of Luwen Ning'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 Luwen Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luwen Ning more than expected).
Fields of papers citing papers by Luwen Ning
This network shows the impact of papers produced by Luwen Ning. 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 Luwen Ning. The network helps show where Luwen Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Luwen Ning, 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 | 2013 | 61 | |
| 2 | 2015 | 44 | |
| 3 | 2017 | 42 | |
| 4 | 2014 | 37 | |
| 5 | 2014 | 28 | |
| 6 | 2015 | 11 | |
| 7 | 2010 | 11 | |
| 8 | 2015 | 8 |
About Luwen Ning
Luwen Ning is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Oncology, having authored 8 papers that have together received 242 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Machine Learning in Bioinformatics (3 papers), Single-cell and spatial transcriptomics (2 papers), Cancer Genomics and Diagnostics (2 papers), RNA and protein synthesis mechanisms (2 papers), Bioinformatics and Genomic Networks (1 paper), Computational Drug Discovery Methods (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Cancer Research (62 citations), Molecular Biology (188 citations), Genetics (41 citations), Oncology (37 citations) and Endocrinology (6 citations). Luwen Ning has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Feng‐Biao Guo, Wen Wei, Yuan‐Nong Ye, Jiankui He, Guibo Li, Yong Hou, Geng Liu, Yao Chen, Kwok Wah Chan and Josephine Mun Yee Ko. Their work appears in journals such as PLoS ONE, Frontiers in Oncology, Scientific Reports, The Journal of Pathology and Biochemical and Biophysical Research Communications.
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.