Ying Su
Impact in
- Molecular Biology top 5%
- Retinoids in leukemia and cellular processes
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- Nuclear Receptors and Signaling 15
- Co-authors
- Frank A. SimmenKornélia PolyákXiao-kun ZhangNicholas D. P. CosfordRosalia C.M. SimmenRijin XiaoHu ZhouRemigio Picone
- Journals
- European Journal of Medicinal Chemistry (6 papers)Bioorganic & Medicinal Chemistry Letters (5 papers)ACS Medicinal Chemistry Letters (4 papers)Nature Communications (3 papers)Bioorganic Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ying Su
134 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 1.8k
- Cell Biology 375
- Cancer Research 305
- Cellular and Molecular Neuroscience 345
- Toxicology 64
Countries citing papers authored by Ying Su
This map shows the geographic impact of Ying Su'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 Ying Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Su more than expected).
Fields of papers citing papers by Ying Su
This network shows the impact of papers produced by Ying Su. 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 Ying Su. The network helps show where Ying Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying Su, 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 | 2023 | 12 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2020 | 62 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 27 | |
| 9 | 2019 | 9 | |
| 10 | 2017 | 60 | |
| 11 | 2017 | 9 | |
| 12 | 2015 | 84 | |
| 13 | 2015 | 8 | |
| 14 | 2015 | 24 | |
| 15 | 2014 | 34 | |
| 16 | 2013 | 45 | |
| 17 | 2012 | 34 | |
| 18 | 2007 | 85 | |
| 19 | 2006 | 13 | |
| 20 | 2004 | 2 |
About Ying Su
Ying Su is a scholar working on Toxicology, Cellular and Molecular Neuroscience, Biophysics, Cancer Research and Molecular Biology, having authored 139 papers that have together received 3.3k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (19 papers), Nuclear Receptors and Signaling (15 papers), Estrogen and related hormone effects (11 papers), Gut microbiota and health (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Genetic and phenotypic traits in livestock (7 papers), NF-κB Signaling Pathways (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cell Biology (375 citations), Cancer Research (305 citations), Cellular and Molecular Neuroscience (345 citations) and Toxicology (64 citations). Ying Su has collaborated with scholars based in China, United States and France. Frequent co-authors include Frank A. Simmen, Kornélia Polyák, Xiao-kun Zhang, Nicholas D. P. Cosford, Rosalia C.M. Simmen, Rijin Xiao, Hu Zhou, Remigio Picone, Cheuk T. Leung and Susana A. Godinho. Their work appears in journals such as European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters, Nature Communications and Bioorganic Chemistry.
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.