Yu Sha
Impact in
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- Carbon dioxide utilization in catalysis
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- Radical Photochemical Reactions
- Catalytic C–H Functionalization Methods
- Carbohydrate Chemistry and Synthesis
Papers in
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- Natural product bioactivities and synthesis 3
- RNA modifications and cancer 3
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- Catalytic C–H Functionalization Methods 5
- Radical Photochemical Reactions 5
- Sulfur-Based Synthesis Techniques 4
- Carbohydrate Chemistry and Synthesis 3
- Co-authors
- Maosheng Cheng (12 shared papers)Maocai Yan (5 shared papers)Ailong Huang (4 shared papers)Ni Tang (3 shared papers)Jie Xia (4 shared papers)Dina Liu (3 shared papers)Jian Wang (5 shared papers)Yan‐Jun Sun (1 shared paper)
- Journals
- Chinese Journal of Chemistry (2 papers)Molecular Simulation (2 papers)Reproductive Sciences (2 papers)Organic Letters (2 papers)The Journal of Organic Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yu Sha
38 papers receiving 381 citations
Peers
Comparison fields: 5 of 74
- Process Chemistry and Technology 24
- Organic Chemistry 116
- Molecular Biology 216
- Cancer Research 47
- Obstetrics and Gynecology 15
Countries citing papers authored by Yu Sha
This map shows the geographic impact of Yu Sha'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 Yu Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Sha more than expected).
Fields of papers citing papers by Yu Sha
This network shows the impact of papers produced by Yu Sha. 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 Yu Sha. The network helps show where Yu Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Sha, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 62 | |
| 2 | 2021 | 28 | |
| 3 | 2007 | 26 | |
| 4 | 2007 | 22 | |
| 5 | 2008 | 22 | |
| 6 | 2022 | 17 | |
| 7 | 2006 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2024 | 14 | |
| 10 | 2019 | 14 | |
| 11 | 2007 | 13 | |
| 12 | 2009 | 12 | |
| 13 | 2008 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2013 | 9 | |
| 18 | 2013 | 8 | |
| 19 | 2010 | 8 | |
| 20 | 2023 | 8 |
About Yu Sha
Yu Sha is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Cancer Research and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 388 indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (5 papers), Radical Photochemical Reactions (5 papers), Sulfur-Based Synthesis Techniques (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Natural product bioactivities and synthesis (3 papers), RNA modifications and cancer (3 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Process Chemistry and Technology (24 citations), Organic Chemistry (116 citations), Molecular Biology (216 citations), Cancer Research (47 citations) and Obstetrics and Gynecology (15 citations). Yu Sha has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Maosheng Cheng, Maocai Yan, Ailong Huang, Ni Tang, Jie Xia, Dina Liu, Jian Wang, Yan‐Jun Sun, Ying Cai and Jianping Gong. Their work appears in journals such as Chinese Journal of Chemistry, Molecular Simulation, Reproductive Sciences, Organic Letters and The Journal of Organic Chemistry.
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.