Jing Zhao
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways 24
- Sphingolipid Metabolism and Signaling 15
- PI3K/AKT/mTOR signaling in cancer 6
- Protein Kinase Regulation and GTPase Signaling 6
- Immunology top 5%
- interferon and immune responses 5
- Cell Biology top 5%
- Cancer Research top 5%
- Epidemiology top 10%
- Autophagy in Disease and Therapy 8
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 9
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- Peptidase Inhibition and Analysis 6
- Co-authors
- Linda E. HymanClaire MooreYutong ZhaoJianxin WeiYi WuShang‐Rong JiRachel K. MialkiLawrence A. Potempa
- Journals
- The FASEB Journal (10 papers)Journal of Biological Chemistry (5 papers)American Journal of Respiratory Cell and Molecular Biology (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jing Zhao
99 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 2.3k
- Immunology 645
- Cell Biology 344
- Cancer Research 315
- Epidemiology 454
Countries citing papers authored by Jing Zhao
This map shows the geographic impact of Jing Zhao'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 Jing Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Zhao more than expected).
Fields of papers citing papers by Jing Zhao
This network shows the impact of papers produced by Jing Zhao. 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 Jing Zhao. The network helps show where Jing Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jing Zhao, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2021 | 4 | |
| 8 | Temporal and Spatial Evolution of Meteorological Factors and Delayed Chilling Damage in Eastern Jilin Province | 2019 | 0 |
| 9 | 2019 | 32 | |
| 10 | 2017 | 22 | |
| 11 | 2017 | 41 | |
| 12 | 2016 | 100 | |
| 13 | 2015 | 22 | |
| 14 | 2015 | 10 | |
| 15 | 2014 | 13 | |
| 16 | 2013 | 70 | |
| 17 | Hepato-protective Effect of Polysaccharides Extracted from Inula Britannica Flower for Mice | 2012 | 1 |
| 18 | 2010 | 5 | |
| 19 | 2009 | 7 | |
| 20 | Treatment of Liver Cancer with Portal Vein Tumor Thrombus with TACE plus Percutaneous Portal Vein Injection of Ethanol Combined Lipiodol | 2006 | 1 |
About Jing Zhao
Jing Zhao is a scholar working on Molecular Biology, Immunology and Cell Biology, having authored 107 papers that have together received 3.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (24 papers), Sphingolipid Metabolism and Signaling (15 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Autophagy in Disease and Therapy (8 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Peptidase Inhibition and Analysis (6 papers) and interferon and immune responses (5 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Immunology (645 citations) and Cell Biology (344 citations). Jing Zhao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Linda E. Hyman, Claire Moore, Yutong Zhao, Jianxin Wei, Yi Wu, Shang‐Rong Ji, Rachel K. Mialki, Lawrence A. Potempa, Rama K. Mallampalli and Chunbin Zou. Their work appears in journals such as The FASEB Journal, Journal of Biological Chemistry, American Journal of Respiratory Cell and Molecular Biology, Cellular Signalling and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.