Yuhan Wang
Impact in
-
- Cancer-related molecular mechanisms research
-
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- Advanced biosensing and bioanalysis techniques
Papers in
-
- RNA modifications and cancer 7
- Advanced biosensing and bioanalysis techniques 7
- Studies on Chitinases and Chitosanases 4
- Oncology 18
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Yongzhong Hou (1 shared paper)Juanjuan Shi (1 shared paper)Mingjun Chen (1 shared paper)Markus Grompe (6 shared papers)Klaus H. Kaestner (3 shared papers)Annelise Haft (4 shared papers)Jonathan Schug (3 shared papers)Martin Gruebele (2 shared papers)
- Journals
- Stem Cell Research (4 papers)Frontiers in Pharmacology (3 papers)Cell Reports (2 papers)Talanta (2 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yuhan Wang
86 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 126
- Cancer Research 151
- Molecular Biology 621
- Hepatology 52
- Aging 9
- Oncology 131
Countries citing papers authored by Yuhan Wang
This map shows the geographic impact of Yuhan 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 Yuhan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhan Wang more than expected).
Fields of papers citing papers by Yuhan Wang
This network shows the impact of papers produced by Yuhan 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 Yuhan Wang. The network helps show where Yuhan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuhan 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 103 | |
| 2 | 2021 | 91 | |
| 3 | 2014 | 60 | |
| 4 | 2023 | 38 | |
| 5 | 2013 | 37 | |
| 6 | 2020 | 37 | |
| 7 | 2022 | 34 | |
| 8 | 2018 | 30 | |
| 9 | 2017 | 28 | |
| 10 | 2018 | 28 | |
| 11 | 2021 | 28 | |
| 12 | 2021 | 25 | |
| 13 | 2019 | 25 | |
| 14 | 2020 | 25 | |
| 15 | 2023 | 24 | |
| 16 | 2014 | 24 | |
| 17 | 2018 | 24 | |
| 18 | 2024 | 23 | |
| 19 | 2018 | 22 | |
| 20 | 2022 | 22 |
About Yuhan Wang
Yuhan Wang is a scholar working on Molecular Biology, Oncology, Surgery, Biomedical Engineering and Cancer Research, having authored 98 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Pancreatic function and diabetes (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Enzyme Production and Characterization (4 papers), Ferroptosis and cancer prognosis (4 papers), Studies on Chitinases and Chitosanases (4 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (151 citations), Molecular Biology (621 citations), Hepatology (52 citations), Aging (9 citations) and Oncology (131 citations). Yuhan Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yongzhong Hou, Juanjuan Shi, Mingjun Chen, Markus Grompe, Klaus H. Kaestner, Annelise Haft, Jonathan Schug, Martin Gruebele, Feorillo Galivo and Mark Eddison. Their work appears in journals such as Stem Cell Research, Frontiers in Pharmacology, Cell Reports, Talanta and International Journal of Biological Macromolecules.
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.