Sisi Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Biological Psychiatry top 10%
Papers in
-
- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 6
- Circular RNAs in diseases 5
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- Cancer-related molecular mechanisms research 13
- MicroRNA in disease regulation 10
- Co-authors
- Sudhakar V. Nuti (3 shared papers)Rachel P. Dreyer (2 shared papers)Isuru Ranasinghe (1 shared paper)Karthik Murugiah (1 shared paper)Serene I. Chen (1 shared paper)Brian Wayda (1 shared paper)Tizhong Shan (5 shared papers)Yizhen Wang (5 shared papers)
- Journals
- Biological Trace Element Research (3 papers)Journal of Cancer (3 papers)Nature Communications (2 papers)OncoTargets and Therapy (2 papers)BMC Cancer (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Sisi Wang
124 papers receiving 3.0k citations
Sisi Wang's Hit Papers
Peers
Comparison fields: 5 of 183
- Cancer Research 460
- Biological Psychiatry 55
- Epidemiology 713
- Modeling and Simulation 87
- Health, Toxicology and Mutagenesis 197
Countries citing papers authored by Sisi Wang
This map shows the geographic impact of Sisi Wang'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 Sisi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sisi Wang more than expected).
Fields of papers citing papers by Sisi Wang
This network shows the impact of papers produced by Sisi Wang. 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 Sisi Wang. The network helps show where Sisi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sisi Wang, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Use of Google Trends in Health Care Research: A Systematic Review Hit paper breakdown → | 2014 | 696 |
| 2 | 2009 | 179 | |
| 3 | 2016 | 102 | |
| 4 | 2011 | 92 | |
| 5 | 2016 | 85 | |
| 6 | 2010 | 82 | |
| 7 | 2007 | 79 | |
| 8 | 2018 | 79 | |
| 9 | 2015 | 62 | |
| 10 | 2016 | 45 | |
| 11 | 2018 | 43 | |
| 12 | 2020 | 43 | |
| 13 | 2018 | 42 | |
| 14 | 2024 | 39 | |
| 15 | 2018 | 38 | |
| 16 | 2022 | 38 | |
| 17 | 2021 | 37 | |
| 18 | 2017 | 37 | |
| 19 | 2017 | 36 | |
| 20 | 2021 | 35 |
About Sisi Wang
Sisi Wang is a scholar working on Molecular Biology, Cancer Research, Physiology, Epidemiology and Oncology, having authored 130 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), MicroRNA in disease regulation (10 papers), RNA modifications and cancer (6 papers), Adipose Tissue and Metabolism (6 papers), Epigenetics and DNA Methylation (6 papers), Circular RNAs in diseases (5 papers), Pain Mechanisms and Treatments (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Cancer Research (460 citations), Biological Psychiatry (55 citations), Epidemiology (713 citations), Modeling and Simulation (87 citations) and Health, Toxicology and Mutagenesis (197 citations). Sisi Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sudhakar V. Nuti, Rachel P. Dreyer, Isuru Ranasinghe, Karthik Murugiah, Serene I. Chen, Brian Wayda, Tizhong Shan, Yizhen Wang, Wei-Che Wu and Yong Li. Their work appears in journals such as Biological Trace Element Research, Journal of Cancer, Nature Communications, OncoTargets and Therapy and BMC Cancer.
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.