Sha He
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
-
- RNA modifications and cancer 9
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 3
-
- Cancer-related molecular mechanisms research 8
- Co-authors
- Hao Zhu (7 shared papers)Sanyi Tang (14 shared papers)Libin Rong (4 shared papers)Shiping Liu (1 shared paper)Haihua Liu (1 shared paper)Hai Zhang (1 shared paper)Mingsheng Lei (3 shared papers)Jianhong Zuo (3 shared papers)
- Journals
- Scientific Reports (2 papers)Mathematical Biosciences & Engineering (2 papers)BMC Evolutionary Biology (2 papers)Oncology Reports (2 papers)BMC Public Health (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Sha He
40 papers receiving 974 citations
Peers
Comparison fields: 5 of 126
- Modeling and Simulation 248
- Cancer Research 346
- Molecular Biology 435
- Public Health, Environmental and Occupational Health 152
- Infectious Diseases 76
Countries citing papers authored by Sha He
This map shows the geographic impact of Sha He'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 Sha He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha He more than expected).
Fields of papers citing papers by Sha He
This network shows the impact of papers produced by Sha He. 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 Sha He. The network helps show where Sha He may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha He, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 150 | |
| 2 | 2020 | 139 | |
| 3 | 2011 | 123 | |
| 4 | 2014 | 86 | |
| 5 | 2011 | 61 | |
| 6 | 2014 | 37 | |
| 7 | 2012 | 35 | |
| 8 | 1998 | 32 | |
| 9 | 2021 | 31 | |
| 10 | 2020 | 31 | |
| 11 | 2013 | 29 | |
| 12 | 2018 | 29 | |
| 13 | 2021 | 22 | |
| 14 | 2019 | 21 | |
| 15 | 2019 | 20 | |
| 16 | 2012 | 16 | |
| 17 | 2020 | 13 | |
| 18 | 2016 | 12 | |
| 19 | 2015 | 12 | |
| 20 | 2021 | 9 |
About Sha He
Sha He is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics, having authored 44 papers that have together received 994 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), COVID-19 Pandemic Impacts (5 papers), Air Quality and Health Impacts (4 papers), RNA Research and Splicing (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Modeling and Simulation (248 citations), Cancer Research (346 citations), Molecular Biology (435 citations), Public Health, Environmental and Occupational Health (152 citations) and Infectious Diseases (76 citations). Sha He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hao Zhu, Sanyi Tang, Libin Rong, Shiping Liu, Haihua Liu, Hai Zhang, Mingsheng Lei, Jianhong Zuo, Sai Li and Meiling Wen. Their work appears in journals such as Scientific Reports, Mathematical Biosciences & Engineering, BMC Evolutionary Biology, Oncology Reports and BMC Public Health.
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.