Na Su
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Epigenetics and DNA Methylation 4
- Ubiquitin and proteasome pathways 3
- Molecular Biology Techniques and Applications 3
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- Adipokines, Inflammation, and Metabolic Diseases 3
- Co-authors
- Ping Xu (10 shared papers)Guangya Wang (6 shared papers)Kai Gao (1 shared paper)Albert Cheung Hoi Yu (1 shared paper)Rui Chai (1 shared paper)Feng Jiang (1 shared paper)Junlin Teng (1 shared paper)Ann Y.K. Wong (1 shared paper)
- Journals
- PLoS ONE (3 papers)International Journal of Molecular Sciences (3 papers)Journal of Proteome Research (3 papers)Oncotarget (2 papers)Transportation Geotechnics (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Na Su
60 papers receiving 933 citations
Peers
Comparison fields: 5 of 129
- Cancer Research 95
- Developmental Neuroscience 24
- Molecular Biology 411
- Neurology 45
- Hepatology 31
Countries citing papers authored by Na Su
This map shows the geographic impact of Na 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 Na Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Su more than expected).
Fields of papers citing papers by Na Su
This network shows the impact of papers produced by Na 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 Na Su. The network helps show where Na Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Na 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 118 | |
| 2 | 2008 | 93 | |
| 3 | 2016 | 46 | |
| 4 | 2022 | 42 | |
| 5 | 2015 | 38 | |
| 6 | 2016 | 33 | |
| 7 | 2018 | 30 | |
| 8 | 2016 | 30 | |
| 9 | 2016 | 27 | |
| 10 | 2019 | 27 | |
| 11 | 2017 | 26 | |
| 12 | 2016 | 24 | |
| 13 | 2015 | 24 | |
| 14 | 2017 | 22 | |
| 15 | 2020 | 21 | |
| 16 | 2012 | 21 | |
| 17 | 2020 | 19 | |
| 18 | 2016 | 19 | |
| 19 | 2018 | 18 | |
| 20 | 2021 | 18 |
About Na Su
Na Su is a scholar working on Molecular Biology, Epidemiology, Physiology, Surgery and Rheumatology, having authored 64 papers that have together received 947 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Ubiquitin and proteasome pathways (3 papers), Landslides and related hazards (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Molecular Biology Techniques and Applications (3 papers), Geotechnical Engineering and Soil Stabilization (3 papers) and Geotechnical Engineering and Underground Structures (3 papers). The work is most often cited by research in Cancer Research (95 citations), Developmental Neuroscience (24 citations), Molecular Biology (411 citations), Neurology (45 citations) and Hepatology (31 citations). Na Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ping Xu, Guangya Wang, Kai Gao, Albert Cheung Hoi Yu, Rui Chai, Feng Jiang, Junlin Teng, Ann Y.K. Wong, Jianguo Chen and Greg Vatcher. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Journal of Proteome Research, Oncotarget and Transportation Geotechnics.
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.