Ning Leng
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Pluripotent Stem Cells Research
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
Papers in ⓘ
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- Single-cell and spatial transcriptomics 8
- Epigenetics and DNA Methylation 3
- Molecular Biology Techniques and Applications 3
- CRISPR and Genetic Engineering 3
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- Ferroptosis and cancer prognosis 3
- Co-authors
- Christina Kendziorski (15 shared papers)Ron Stewart (13 shared papers)James A. Thomson (13 shared papers)Anna I. Rissman (3 shared papers)Michael N. Gould (3 shared papers)Jill D. Haag (3 shared papers)Bart M. G. Smits (3 shared papers)John A. Dawson (2 shared papers)
- Journals
- Bioinformatics (4 papers)Nature Methods (2 papers)Nature Communications (2 papers)Journal of Clinical Oncology (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Ning Leng
31 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cancer Research 430
- Molecular Biology 1.7k
- Biophysics 94
- Immunology 183
- Aging 15
Countries citing papers authored by Ning Leng
This map shows the geographic impact of Ning Leng'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 Ning Leng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Leng more than expected).
Fields of papers citing papers by Ning Leng
This network shows the impact of papers produced by Ning Leng. 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 Ning Leng. The network helps show where Ning Leng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Leng, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments Hit paper breakdown → | 2013 | 938 |
| 2 | 2016 | 302 | |
| 3 | 2017 | 190 | |
| 4 | 2015 | 116 | |
| 5 | 2017 | 105 | |
| 6 | 2013 | 105 | |
| 7 | 2014 | 89 | |
| 8 | 2015 | 69 | |
| 9 | 2018 | 61 | |
| 10 | 2013 | 55 | |
| 11 | 2014 | 49 | |
| 12 | 2018 | 35 | |
| 13 | 2015 | 33 | |
| 14 | 2016 | 32 | |
| 15 | 2015 | 26 | |
| 16 | 2018 | 25 | |
| 17 | 2016 | 22 | |
| 18 | 2020 | 20 | |
| 19 | 2014 | 19 | |
| 20 | 2013 | 18 |
About Ning Leng
Ning Leng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Oncology, having authored 33 papers that have together received 2.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Cancer Immunotherapy and Biomarkers (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Epigenetics and DNA Methylation (3 papers), Ferroptosis and cancer prognosis (3 papers), Cancer-related molecular mechanisms research (3 papers), Molecular Biology Techniques and Applications (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cancer Research (430 citations), Molecular Biology (1.7k citations), Biophysics (94 citations), Immunology (183 citations) and Aging (15 citations). Ning Leng has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Christina Kendziorski, Ron Stewart, James A. Thomson, Anna I. Rissman, Michael N. Gould, Jill D. Haag, Bart M. G. Smits, John A. Dawson, Victor Ruotti and Li‐Fang Chu. Their work appears in journals such as Bioinformatics, Nature Methods, Nature Communications, Journal of Clinical Oncology and PLoS Computational 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.