Ningli Cheng
Impact in
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- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Cell death mechanisms and regulation
- Urology top 10%
Papers in
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- Cell death mechanisms and regulation 3
- Wnt/β-catenin signaling in development and cancer 3
- Cancer-related gene regulation 2
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- Neonatal Respiratory Health Research 2
- Occupational and environmental lung diseases 2
- Co-authors
- Mohammed Filali (4 shared papers)Duane Abbott (4 shared papers)John F. Engelhardt (4 shared papers)C. Michael Knudson (4 shared papers)Elizabeth Yang (2 shared papers)Courtney G. Sansam (1 shared paper)Erinn Soucié (1 shared paper)Linda Z. Penn (1 shared paper)
- Journals
- American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)Modern Pathology (1 paper)Pediatric Research (1 paper)Novartis Foundation symposium (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Ningli Cheng
13 papers receiving 763 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 417
- Urology 34
- Cancer Research 68
- Pulmonary and Respiratory Medicine 116
- Immunology 80
Countries citing papers authored by Ningli Cheng
This map shows the geographic impact of Ningli Cheng'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 Ningli Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningli Cheng more than expected).
Fields of papers citing papers by Ningli Cheng
This network shows the impact of papers produced by Ningli Cheng. 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 Ningli Cheng. The network helps show where Ningli Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ningli Cheng, 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 | 2002 | 212 | |
| 2 | 2003 | 162 | |
| 3 | 2005 | 74 | |
| 4 | 1999 | 62 | |
| 5 | 1997 | 56 | |
| 6 | 1999 | 48 | |
| 7 | 2004 | 40 | |
| 8 | 2004 | 28 | |
| 9 | 2004 | 28 | |
| 10 | 2008 | 26 | |
| 11 | 1999 | 20 | |
| 12 | 2008 | 9 | |
| 13 | 2002 | 8 |
About Ningli Cheng
Ningli Cheng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Immunology and Cancer Research, having authored 13 papers that have together received 773 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (3 papers), Cell death mechanisms and regulation (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cancer-related gene regulation (2 papers), Cancer-related Molecular Pathways (2 papers), Neonatal Respiratory Health Research (2 papers), Occupational and environmental lung diseases (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Molecular Biology (417 citations), Urology (34 citations), Cancer Research (68 citations), Pulmonary and Respiratory Medicine (116 citations) and Immunology (80 citations). Ningli Cheng has collaborated with scholars based in United States, China and India. Frequent co-authors include Mohammed Filali, Duane Abbott, John F. Engelhardt, C. Michael Knudson, Elizabeth Yang, Courtney G. Sansam, Erinn Soucié, Linda Z. Penn, David W. Andrews and Anuja Chattopadhyay. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Modern Pathology, Pediatric Research, Novartis Foundation symposium and Journal of Biological Chemistry.
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.