Su‐Ni Tang
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Hedgehog Signaling Pathway Studies 4
- Genomics, phytochemicals, and oxidative stress 2
- Bioactive natural compounds 2
- Oncology 6
- Cancer-related Molecular Pathways 3
- Cancer Cells and Metastasis 3
- Co-authors
- Sharmila Shankar (9 shared papers)Rakesh K. Srivastava (8 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)The American Journal of Chinese Medicine (3 papers)Molecular Carcinogenesis (2 papers)Cancer Prevention Research (2 papers)Cancer Letters (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Su‐Ni Tang
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 80
- Applied Microbiology and Biotechnology 59
- Geriatrics and Gerontology 87
- Oncology 465
- Cancer Research 249
- Biochemistry 97
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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 272 | |
| 2 | 2011 | 228 | |
| 3 | 2010 | 202 | |
| 4 | 2011 | 185 | |
| 5 | 2013 | 98 | |
| 6 | 2012 | 86 | |
| 7 | 2014 | 50 | |
| 8 | 2018 | 41 | |
| 9 | 2017 | 36 | |
| 10 | 2014 | 26 | |
| 11 | 2021 | 22 | |
| 12 | 2015 | 19 | |
| 13 | 2014 | 18 | |
| 14 | 2017 | 16 | |
| 15 | 2005 | 16 | |
| 16 | 2016 | 14 | |
| 17 | 2014 | 13 | |
| 18 | 2015 | 11 | |
| 19 | 2019 | 6 | |
| 20 | 2016 | 6 |
About Su‐Ni Tang
Su‐Ni Tang is a scholar working on Molecular Biology, Oncology, Plant Science, Cancer Research and Complementary and alternative medicine, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Plant chemical constituents analysis (5 papers), Hedgehog Signaling Pathway Studies (4 papers), Cancer-related Molecular Pathways (3 papers), Cancer Cells and Metastasis (3 papers), Synthesis and Biological Activity (3 papers), Sesquiterpenes and Asteraceae Studies (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Bioactive natural compounds (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (59 citations), Geriatrics and Gerontology (87 citations), Oncology (465 citations), Cancer Research (249 citations) and Biochemistry (97 citations). Su‐Ni Tang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Sharmila Shankar, Rakesh K. 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, The American Journal of Chinese Medicine, Molecular Carcinogenesis, Cancer Prevention Research and Cancer Letters.
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.