Su Zhang
- Molecular Biology top 5%
- Plant Science top 10%
- Biomedical Engineering
- Health, Toxicology and Mutagenesis top 5%
- Cancer Research top 10%
- Co-authors
- John C. ChaputPeilong WangAlexander I. TaylorMarleen RendersSew‐Yeu Peak‐ChewChristopher CozensJesper WengelPhilipp Holliger
- Topics
- Toxic Organic Pollutants Impact (14 papers)Mercury impact and mitigation studies (7 papers)Epigenetics and DNA Methylation (7 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Su Zhang
87 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.4k
- Plant Science 334
- Biomedical Engineering 242
- Health, Toxicology and Mutagenesis 172
- Cancer Research 167
Countries citing papers authored by Su Zhang
This map shows the geographic impact of Su Zhang'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 Su Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Zhang more than expected).
Fields of papers citing papers by Su Zhang
This network shows the impact of papers produced by Su Zhang. 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 Su Zhang. The network helps show where Su Zhang may publish in the future.
Co-authorship network of co-authors of Su Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Su Zhang. A scholar is included among the top collaborators of Su Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Su Zhang. Su Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 199 | |
| 12 | 42 | |
| 13 | 11 | |
| 14 | Determination of 10 mycotoxins in peach kernel by high performance liquid chromatography-tandem mass spectrometry. | 1 |
| 15 | Synthetic Genetic Polymers Capable of Heredity and Evolutionbreakdown → | 546 |
| 16 | 31 | |
| 17 | 1 | |
| 18 | The spatiotemporal relationship of neuronal cell DNA damage and apoptosis after reversible focal cerebral ischemia in rats | 1 |
| 19 | Study of Two Colorectal Cancer Negatively Related Genes | 3 |
| 20 | Extracellular Calmodulin Induces rbcS-3A Gene Expression in Suspension Culture of Tomato Cells | 2 |
About Su Zhang
Su Zhang is a scholar working on Health, Toxicology and Mutagenesis, Animal Science and Zoology and Biochemistry, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (14 papers), Mercury impact and mitigation studies (7 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Biochemistry (90 citations) and Health, Toxicology and Mutagenesis (172 citations). Su Zhang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include John C. Chaput, Peilong Wang, Alexander I. Taylor, Marleen Renders, Sew‐Yeu Peak‐Chew, Christopher Cozens, Jesper Wengel, Philipp Holliger, Piet Herdewijn and Vitor B. Pinheiro. Their work appears in journals such as Science, Nature Medicine and Journal of Clinical Oncology.
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.