Ying Su
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- TGF-β signaling in diseases
- Extracellular vesicles in disease
- Circular RNAs in diseases
- Developmental Biology and Gene Regulation
- Bacterial biofilms and quorum sensing
Papers in
-
- Developmental Biology and Gene Regulation 14
- Hedgehog Signaling Pathway Studies 7
- Extracellular vesicles in disease 6
- Bacterial biofilms and quorum sensing 5
- Genomics and Phylogenetic Studies 4
- Cell Biology 11
- Hippo pathway signaling and YAP/TAZ 5
- Co-authors
- Anming Meng (7 shared papers)Xiao‐Hua Zhang (6 shared papers)Ye-Guang Chen (1 shared paper)Min Hu (1 shared paper)Xia Lin (1 shared paper)Xin‐Hua Feng (1 shared paper)Yigong Shi (1 shared paper)Xueyan Duan (1 shared paper)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (3 papers)Marine Life Science & Technology (2 papers)Ionics (2 papers)Journal of Applied Microbiology (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Ying Su
74 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 141
- Cancer Research 443
- Molecular Biology 1.6k
- Endocrinology 65
- Aging 22
- Cell Biology 186
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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 402 | |
| 2 | 2021 | 137 | |
| 3 | 2015 | 131 | |
| 4 | 2016 | 125 | |
| 5 | 2004 | 118 | |
| 6 | 2014 | 109 | |
| 7 | 2015 | 105 | |
| 8 | 1992 | 73 | |
| 9 | 2021 | 62 | |
| 10 | 2011 | 57 | |
| 11 | 2006 | 56 | |
| 12 | 2007 | 41 | |
| 13 | 2012 | 35 | |
| 14 | 2021 | 32 | |
| 15 | 2011 | 31 | |
| 16 | 2013 | 30 | |
| 17 | 2008 | 28 | |
| 18 | 2016 | 27 | |
| 19 | 1993 | 26 | |
| 20 | 2021 | 25 |
About Ying Su
Ying Su is a scholar working on Molecular Biology, Cell Biology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 81 papers that have together received 2.2k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (14 papers), Hedgehog Signaling Pathway Studies (7 papers), Invertebrate Immune Response Mechanisms (6 papers), Extracellular vesicles in disease (6 papers), Bacterial biofilms and quorum sensing (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Cancer-related molecular mechanisms research (5 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cancer Research (443 citations), Molecular Biology (1.6k citations), Endocrinology (65 citations), Aging (22 citations) and Cell Biology (186 citations). Ying Su has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Anming Meng, Xiao‐Hua Zhang, Ye-Guang Chen, Min Hu, Xia Lin, Xin‐Hua Feng, Yigong Shi, Xueyan Duan, Jianyin Long and F. Charles Brunicardi. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Marine Life Science & Technology, Ionics, Journal of Applied Microbiology and Journal of Biological 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.