Shanhe Wang
Impact in
- Urology top 2%
- Hair Growth and Disorders
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA Research and Splicing 6
- Wnt/β-catenin signaling in development and cancer 5
- Urology 21
- Hair Growth and Disorders 21
- Co-authors
- Xin Wang (7 shared papers)Wei Ge (5 shared papers)Xiaoyang Lv (26 shared papers)Wei Sun (23 shared papers)Lei Qu (3 shared papers)Zehu Yuan (23 shared papers)Xiukai Cao (22 shared papers)Weihao Chen (11 shared papers)
- Journals
- Genes (11 papers)Animals (6 papers)BMC Genomics (4 papers)Frontiers in Veterinary Science (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shanhe Wang
51 papers receiving 523 citations
Peers
Comparison fields: 5 of 81
- Urology 182
- Cancer Research 267
- Cell Biology 112
- Genetics 130
- Dermatology 39
Countries citing papers authored by Shanhe Wang
This map shows the geographic impact of Shanhe 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 Shanhe Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanhe Wang more than expected).
Fields of papers citing papers by Shanhe Wang
This network shows the impact of papers produced by Shanhe 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 Shanhe Wang. The network helps show where Shanhe Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shanhe 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 79 | |
| 2 | 2021 | 40 | |
| 3 | 2018 | 39 | |
| 4 | 2020 | 34 | |
| 5 | 2018 | 25 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 21 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2015 | 18 | |
| 11 | 2020 | 17 | |
| 12 | 2021 | 14 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2021 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 10 |
About Shanhe Wang
Shanhe Wang is a scholar working on Molecular Biology, Urology, Cell Biology, Cancer Research and Genetics, having authored 54 papers that have together received 526 indexed citations. Recurring topics across this work include Hair Growth and Disorders (21 papers), Cancer-related molecular mechanisms research (14 papers), melanin and skin pigmentation (9 papers), Skin and Cellular Biology Research (8 papers), RNA Research and Splicing (6 papers), Genetic and phenotypic traits in livestock (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and Inertial Sensor and Navigation (4 papers). The work is most often cited by research in Urology (182 citations), Cancer Research (267 citations), Cell Biology (112 citations), Genetics (130 citations) and Dermatology (39 citations). Shanhe Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xin Wang, Wei Ge, Xiaoyang Lv, Wei Sun, Lei Qu, Zehu Yuan, Xiukai Cao, Weihao Chen, Zhixin Luo and Tesfaye Getachew. Their work appears in journals such as Genes, Animals, BMC Genomics, Frontiers in Veterinary Science and International Journal of Molecular Sciences.
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.