Shenglin Zhao
- Toxicology top 5%
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment 1
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 2
- Glycosylation and Glycoproteins Research 1
- DNA Repair Mechanisms 1
- Pharmacology top 10%
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- Radiomics and Machine Learning in Medical Imaging 1
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- Genetic Syndromes and Imprinting 1
- Virus-based gene therapy research 1
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- COVID-19 epidemiological studies 1
- Journals
- PLoS neglected tropical diseases (1 paper)International Journal of Nursing Studies (1 paper)BMC Medical Education (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Shenglin Zhao
11 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Toxicology 56
- Cancer Research 196
- Molecular Biology 762
- Applied Microbiology and Biotechnology 19
- Pharmacology 65
Countries citing papers authored by Shenglin Zhao
This map shows the geographic impact of Shenglin 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 Shenglin Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shenglin Zhao more than expected).
Fields of papers citing papers by Shenglin Zhao
This network shows the impact of papers produced by Shenglin 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 Shenglin Zhao. The network helps show where Shenglin Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shenglin 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 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 11 | |
| 5 | 2018 | 8 | |
| 6 | 2018 | 3 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 0 | |
| 9 | 2013 | 22 | |
| 10 | Programmed cell death pathways in cancer: a review of apoptosis, autophagy and programmed necrosisbreakdown → | 2012 | 1141 |
| 11 | Modification of IFSSH system for evaluation of impairment of hand function. | 1995 | 1 |
| 12 | Long-term protection of recipient mice from lethal doses of methotrexate by marrow infected with a double-copy vector retrovirus containing a mutant dihydrofolate reductase. | 1994 | 54 |
| 13 | 1985 | 1 |
About Shenglin Zhao
Shenglin Zhao is a scholar working on Modeling and Simulation, Cancer Research and Safety Research, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Genetic Syndromes and Imprinting (1 paper), Glycosylation and Glycoproteins Research (1 paper), COVID-19 epidemiological studies (1 paper), Virus-based gene therapy research (1 paper), DNA Repair Mechanisms (1 paper) and Carcinogens and Genotoxicity Assessment (1 paper). The work is most often cited by research in Toxicology (56 citations), Cancer Research (196 citations) and Molecular Biology (762 citations). Shenglin Zhao has collaborated with scholars based in China and United States. Frequent co-authors include Ji Bao, B. Liu, Liang Ouyang, Fang Wang, Tingting Zhou, Zhihong Shi, Shin Mineishi, Eli Gilboa, Joseph R. Bertino and Debabrata Banerjee. Their work appears in journals such as PLoS neglected tropical diseases, International Journal of Nursing Studies and BMC Medical Education.
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.