Zhang Shu-ling
Impact in
- Immunology top 5%
- Immune Response and Inflammation
- interferon and immune responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immunotherapy and Immune Responses
- Cancer Research top 10%
- NF-κB Signaling Pathways
Papers in
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- Immune Response and Inflammation 4
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
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- Image and Signal Denoising Methods 2
- Co-authors
- Stefanie N. Vogel (4 shared papers)Vladimir Y. Toshchakov (3 shared papers)Pin‐Yu Perera (3 shared papers)Thomas A. Hamilton (3 shared papers)Matthew J. Fenton (3 shared papers)Jennifer Major (3 shared papers)Karen E. Thomas (3 shared papers)Bryan W. Jones (3 shared papers)
- Journals
- The Journal of Experimental Medicine (1 paper)Nature Immunology (1 paper)Immunopharmacology and Immunotoxicology (1 paper)Journal of Endotoxin Research (2 papers)Chinese Science Bulletin (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Zhang Shu-ling
12 papers receiving 965 citations
Zhang Shu-ling's Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 797
- Cancer Research 227
- Microbiology 70
- Neurology 42
- Oncology 136
Countries citing papers authored by Zhang Shu-ling
This map shows the geographic impact of Zhang Shu-ling'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 Zhang Shu-ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhang Shu-ling more than expected).
Fields of papers citing papers by Zhang Shu-ling
This network shows the impact of papers produced by Zhang Shu-ling. 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 Zhang Shu-ling. The network helps show where Zhang Shu-ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhang Shu-ling, 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 | TLR4, but not TLR2, mediates IFN-β–induced STAT1α/β-dependent gene expression in macrophages Hit paper breakdown → | 2002 | 685 |
| 2 | 2003 | 213 | |
| 3 | 2003 | 36 | |
| 4 | 2003 | 32 | |
| 5 | 2008 | 10 | |
| 6 | 2001 | 3 | |
| 7 | 2002 | 3 | |
| 8 | A Differential Method Based on Spline Wavelet Transform | 1999 | 1 |
| 9 | Facial expression feature extraction based on tensor analysis | 2016 | 1 |
| 10 | 2013 | 1 | |
| 11 | 2009 | 1 | |
| 12 | 2015 | 1 |
About Zhang Shu-ling
Zhang Shu-ling is a scholar working on Immunology, Computer Vision and Pattern Recognition, Oncology, Artificial Intelligence and Cancer Research, having authored 12 papers that have together received 987 indexed citations. Recurring topics across this work include Immune Response and Inflammation (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), NF-κB Signaling Pathways (3 papers), Image and Signal Denoising Methods (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Phytochemistry and Biological Activities (1 paper), Advanced Computational Techniques and Applications (1 paper) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Immunology (797 citations), Cancer Research (227 citations), Microbiology (70 citations), Neurology (42 citations) and Oncology (136 citations). Zhang Shu-ling has collaborated with scholars based in China and United States. Frequent co-authors include Stefanie N. Vogel, Vladimir Y. Toshchakov, Pin‐Yu Perera, Thomas A. Hamilton, Matthew J. Fenton, Jennifer Major, Karen E. Thomas, Bryan W. Jones, Michael J. Cody and Bryan Williams. Their work appears in journals such as The Journal of Experimental Medicine, Nature Immunology, Immunopharmacology and Immunotoxicology, Journal of Endotoxin Research and Chinese Science Bulletin.
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.