Ying Su
Impact in
- Molecular Biology top 5%
- Retinoids in leukemia and cellular processes
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- Retinoids in leukemia and cellular processes 20
- Gut microbiota and health 7
- Genetics 28
- Estrogen and related hormone effects 11
- Genetic Mapping and Diversity in Plants and Animals 7
- Genetic and phenotypic traits in livestock 6
- Co-authors
- Frank A. Simmen (4 shared papers)Xiao-kun Zhang (24 shared papers)Kornélia Polyák (4 shared papers)Nicholas D. P. Cosford (9 shared papers)Rosalia C.M. Simmen (5 shared papers)Hu Zhou (18 shared papers)Rijin Xiao (3 shared papers)Cheuk T. Leung (1 shared paper)
- Journals
- European Journal of Medicinal Chemistry (6 papers)Bioorganic & Medicinal Chemistry Letters (5 papers)ACS Medicinal Chemistry Letters (4 papers)Cancer Research (4 papers)Nature Communications (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ying Su
137 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 1.7k
- Cell Biology 372
- Cancer Research 291
- Cellular and Molecular Neuroscience 353
- 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-authors
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
Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 309 | |
| 2 | 2017 | 121 | |
| 3 | 2009 | 116 | |
| 4 | 2014 | 115 | |
| 5 | 2008 | 113 | |
| 6 | 2008 | 98 | |
| 7 | 2005 | 86 | |
| 8 | 2007 | 85 | |
| 9 | 2015 | 85 | |
| 10 | 2013 | 82 | |
| 11 | 2008 | 80 | |
| 12 | 2007 | 71 | |
| 13 | 1993 | 67 | |
| 14 | 2021 | 65 | |
| 15 | 2017 | 64 | |
| 16 | 2020 | 63 | |
| 17 | 2009 | 61 | |
| 18 | 2008 | 60 | |
| 19 | 2015 | 55 | |
| 20 | 2009 | 51 |
About Ying Su
Ying Su is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Cancer Research and Organic Chemistry, having authored 143 papers that have together received 3.5k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (20 papers), Nuclear Receptors and Signaling (16 papers), Estrogen and related hormone effects (11 papers), Gut microbiota and health (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), NF-κB Signaling Pathways (7 papers) and Genetic and phenotypic traits in livestock (6 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Cell Biology (372 citations), Cancer Research (291 citations), Cellular and Molecular Neuroscience (353 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, Xiao-kun Zhang, Kornélia Polyák, Nicholas D. P. Cosford, Rosalia C.M. Simmen, Hu Zhou, Rijin Xiao, Cheuk T. Leung, David Pellman and Mithila Burute. Their work appears in journals such as European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters, Cancer Research and Nature Communications.
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.