Ying Su
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
-
- Biochemical and Molecular Research
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
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- Epigenetics and DNA Methylation 6
- RNA modifications and cancer 6
- Biochemical and Molecular Research 5
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Arnon Lavie (11 shared papers)Yanming Sun (2 shared papers)Jia Li (1 shared paper)Lanfeng Wang (1 shared paper)J. Nomme (4 shared papers)Hien Anh Thi Nguyen (2 shared papers)Simon Nagel (2 shared papers)Simone Wagner (2 shared papers)
- Journals
- Journal of Molecular Biology (3 papers)Journal of Biological Chemistry (3 papers)Experimental Cell Research (2 papers)Pharmacological Research (2 papers)International Immunopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ying Su
52 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 88
- Cancer Research 202
- Molecular Biology 632
- Neurology 69
- Critical Care and Intensive Care Medicine 35
- Clinical Biochemistry 52
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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 182 | |
| 2 | 2007 | 103 | |
| 3 | 2020 | 96 | |
| 4 | 2008 | 84 | |
| 5 | 2016 | 76 | |
| 6 | 2012 | 53 | |
| 7 | 2006 | 48 | |
| 8 | 2021 | 44 | |
| 9 | 2021 | 42 | |
| 10 | 2022 | 41 | |
| 11 | 2021 | 40 | |
| 12 | 2021 | 39 | |
| 13 | 2011 | 38 | |
| 14 | 2022 | 35 | |
| 15 | 2014 | 34 | |
| 16 | 2010 | 32 | |
| 17 | 2013 | 32 | |
| 18 | 2022 | 31 | |
| 19 | 2018 | 29 | |
| 20 | 2023 | 28 |
About Ying Su
Ying Su is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Cancer Research and Oncology, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Acute Lymphoblastic Leukemia research (6 papers), RNA modifications and cancer (6 papers), Liver physiology and pathology (5 papers), Biochemical and Molecular Research (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Nerve injury and regeneration (4 papers). The work is most often cited by research in Cancer Research (202 citations), Molecular Biology (632 citations), Neurology (69 citations), Critical Care and Intensive Care Medicine (35 citations) and Clinical Biochemistry (52 citations). Ying Su has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Arnon Lavie, Yanming Sun, Jia Li, Lanfeng Wang, J. Nomme, Hien Anh Thi Nguyen, Simon Nagel, Simone Wagner, Solveig Horstmann and Jiangjuan Shao. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Experimental Cell Research, Pharmacological Research and International Immunopharmacology.
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.