Su‐Ni Tang
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Hedgehog Signaling Pathway Studies 4
- Epigenetics and DNA Methylation 2
- Oncology 7
- Cancer Cells and Metastasis 4
- Cancer-related Molecular Pathways 3
- Co-authors
- Sharmila Shankar (8 shared papers)Rohit Srivastava (7 shared papers)Daniel G. Meeker (2 shared papers)Marianna Rodova (1 shared paper)Jay Sharma (1 shared paper)Chandan Singh (1 shared paper)Junsheng Fu (1 shared paper)Mariana Rodova (1 shared paper)
- Journals
- PLoS ONE (4 papers)Molecular Carcinogenesis (2 papers)Cancer Letters (2 papers)The American Journal of Chinese Medicine (2 papers)Neoplasia (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Su‐Ni Tang
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 82
- Applied Microbiology and Biotechnology 57
- Geriatrics and Gerontology 83
- Cancer Research 265
- Oncology 469
- Biochemistry 79
Countries citing papers authored by Su‐Ni Tang
This map shows the geographic impact of Su‐Ni Tang'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 Su‐Ni Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Ni Tang more than expected).
Fields of papers citing papers by Su‐Ni Tang
This network shows the impact of papers produced by Su‐Ni Tang. 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 Su‐Ni Tang. The network helps show where Su‐Ni Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Su‐Ni Tang, 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 | 2011 | 248 | |
| 2 | 2011 | 219 | |
| 3 | 2010 | 176 | |
| 4 | 2011 | 171 | |
| 5 | 2013 | 95 | |
| 6 | 2012 | 80 | |
| 7 | 2014 | 49 | |
| 8 | 2017 | 35 | |
| 9 | 2014 | 27 | |
| 10 | 2021 | 22 | |
| 11 | 2014 | 18 | |
| 12 | 2005 | 16 | |
| 13 | 2016 | 13 | |
| 14 | 2014 | 13 | |
| 15 | 2015 | 11 | |
| 16 | 2019 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2016 | 4 | |
| 19 | 2013 | 2 | |
| 20 | 2022 | 1 |
About Su‐Ni Tang
Su‐Ni Tang is a scholar working on Molecular Biology, Oncology, Plant Science, Cancer Research and Pharmacology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (4 papers), Cancer Cells and Metastasis (4 papers), Plant chemical constituents analysis (3 papers), Cancer-related Molecular Pathways (3 papers), Epigenetics and DNA Methylation (2 papers), Medicinal Plant Pharmacodynamics Research (2 papers), Advanced Chemical Sensor Technologies (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (57 citations), Geriatrics and Gerontology (83 citations), Cancer Research (265 citations), Oncology (469 citations) and Biochemistry (79 citations). Su‐Ni Tang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Sharmila Shankar, Rohit Srivastava, Daniel G. Meeker, Marianna Rodova, Jay Sharma, Chandan Singh, Junsheng Fu, Mariana Rodova, Junsheng Fu and Min Zhao. Their work appears in journals such as PLoS ONE, Molecular Carcinogenesis, Cancer Letters, The American Journal of Chinese Medicine and Neoplasia.
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.