Sisi Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Epidemiology top 5%
- Data-Driven Disease Surveillance
- Liver Disease Diagnosis and Treatment
Papers in
-
- RNA modifications and cancer 5
- Gut microbiota and health 4
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 4
-
- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 9
- Co-authors
- Rachel P. Dreyer (2 shared papers)Sudhakar V. Nuti (3 shared papers)Karthik Murugiah (1 shared paper)Serene I. Chen (1 shared paper)Isuru Ranasinghe (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)OncoTargets and Therapy (3 papers)Journal of Cancer (3 papers)BMC Cancer (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Sisi Wang
127 papers receiving 3.2k citations
Sisi Wang's Hit Papers
Peers
Comparison fields: 5 of 182
- Cancer Research 392
- Epidemiology 595
- Biological Psychiatry 44
- Modeling and Simulation 62
- Health, Toxicology and Mutagenesis 185
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 133 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 | 722 |
| 2 | 2009 | 183 | |
| 3 | 2016 | 105 | |
| 4 | 2007 | 97 | |
| 5 | 2011 | 94 | |
| 6 | 2016 | 89 | |
| 7 | 2010 | 85 | |
| 8 | 2018 | 79 | |
| 9 | 2015 | 64 | |
| 10 | 2020 | 48 | |
| 11 | 2016 | 48 | |
| 12 | 2024 | 47 | |
| 13 | 2018 | 44 | |
| 14 | 2018 | 43 | |
| 15 | 2021 | 41 | |
| 16 | 2022 | 40 | |
| 17 | 2018 | 39 | |
| 18 | 2020 | 38 | |
| 19 | 2021 | 38 | |
| 20 | 2017 | 37 |
About Sisi Wang
Sisi Wang is a scholar working on Molecular Biology, Cancer Research, Physiology, Epidemiology and Oncology, having authored 133 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (9 papers), RNA modifications and cancer (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Gut microbiota and health (4 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (4 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Cancer Research (392 citations), Epidemiology (595 citations), Biological Psychiatry (44 citations), Modeling and Simulation (62 citations) and Health, Toxicology and Mutagenesis (185 citations). Sisi Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rachel P. Dreyer, Sudhakar V. Nuti, Karthik Murugiah, Serene I. Chen, Isuru Ranasinghe, Brian Wayda, Tizhong Shan, Yizhen Wang, Wei-Che Wu and Joy X. Jiang. Their work appears in journals such as Biological Trace Element Research, OncoTargets and Therapy, Journal of Cancer, BMC Cancer and Oncotarget.
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.