Jing Zhai
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 6
- Oncology top 5%
- Cancer Cells and Metastasis 7
- Pancreatic and Hepatic Oncology Research 6
- Reproductive Medicine top 5%
- Sperm and Testicular Function 6
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- Glaucoma and retinal disorders 5
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- RNA modifications and cancer 5
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- Gastric Cancer Management and Outcomes 5
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- Retinal and Macular Surgery 5
- Co-authors
- Armando BarretoLizong ShenEvangelia G. KraniasJiajia ShenMing‐Fang HeXuequan YaoJiaqi WuJames W. Lester
- Journals
- Journal of Biological Chemistry (3 papers)Nature Communications (3 papers)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Jing Zhai
118 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 159
- Cancer Research 403
- Oncology 547
- Cardiology and Cardiovascular Medicine 446
- Experimental and Cognitive Psychology 253
- Reproductive Medicine 153
Countries citing papers authored by Jing Zhai
This map shows the geographic impact of Jing Zhai'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 Zhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Zhai more than expected).
Fields of papers citing papers by Jing Zhai
This network shows the impact of papers produced by Jing Zhai. 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 Zhai. The network helps show where Jing Zhai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jing Zhai, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 11 | |
| 12 | 2019 | 1 | |
| 13 | 2019 | 12 | |
| 14 | 2018 | 44 | |
| 15 | 2018 | 25 | |
| 16 | 2018 | 58 | |
| 17 | 2016 | 1 | |
| 18 | 2016 | 12 | |
| 19 | Stress Recognition Using Non-invasive Technology. | 2006 | 55 |
| 20 | Instrumentation for Automatic Monitoring of Affective State in Human-Computer Interaction. | 2005 | 2 |
About Jing Zhai
Jing Zhai is a scholar working on Microbiology, Toxicology and Cancer Research, having authored 126 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), Sperm and Testicular Function (6 papers), Cancer-related molecular mechanisms research (6 papers), Glaucoma and retinal disorders (5 papers), RNA modifications and cancer (5 papers), Gastric Cancer Management and Outcomes (5 papers) and Retinal and Macular Surgery (5 papers). The work is most often cited by research in Cancer Research (403 citations), Oncology (547 citations) and Cardiology and Cardiovascular Medicine (446 citations). Jing Zhai has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Armando Barreto, Lizong Shen, Evangelia G. Kranias, Jiajia Shen, Ming‐Fang He, Xuequan Yao, Jiaqi Wu, James W. Lester, Yifen Zhang and Lourdes R. Ylagan. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.
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.