Wanting Chen
Impact in
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- Click Chemistry and Applications
- Sulfur-Based Synthesis Techniques
- Synthesis and Catalytic Reactions
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
- Advanced biosensing and bioanalysis techniques 3
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- Click Chemistry and Applications 4
- Catalytic C–H Functionalization Methods 3
- Co-authors
- Lavinia Paternoster (1 shared paper)Cathie Sudlow (1 shared paper)Hongtao Xu (6 shared papers)Yuang Gu (6 shared papers)Guang Yang (4 shared papers)Shuning Zhang (3 shared papers)Tingting Tan (4 shared papers)Qinghua He (7 shared papers)
- Journals
- Forests (4 papers)Frontiers in Pharmacology (3 papers)PeerJ (2 papers)Cerebral Cortex (2 papers)International Journal of Human-Computer Interaction (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Wanting Chen
51 papers receiving 594 citations
Peers
Comparison fields: 5 of 121
- Organic Chemistry 135
- Toxicology 12
- Pollution 41
- Neurology 26
- General Decision Sciences 6
Countries citing papers authored by Wanting Chen
This map shows the geographic impact of Wanting Chen'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 Wanting Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanting Chen more than expected).
Fields of papers citing papers by Wanting Chen
This network shows the impact of papers produced by Wanting Chen. 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 Wanting Chen. The network helps show where Wanting Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanting Chen, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 72 | |
| 2 | 2021 | 71 | |
| 3 | 2022 | 37 | |
| 4 | 2022 | 34 | |
| 5 | 2021 | 32 | |
| 6 | 2024 | 29 | |
| 7 | 2011 | 24 | |
| 8 | 2022 | 22 | |
| 9 | 2021 | 19 | |
| 10 | 2019 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2017 | 16 | |
| 13 | 2023 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2019 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2023 | 9 |
About Wanting Chen
Wanting Chen is a scholar working on Molecular Biology, Organic Chemistry, Plant Science, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 59 papers that have together received 608 indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (5 papers), Click Chemistry and Applications (4 papers), Neural and Behavioral Psychology Studies (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Plant Micronutrient Interactions and Effects (3 papers), Catalytic C–H Functionalization Methods (3 papers) and Aldose Reductase and Taurine (3 papers). The work is most often cited by research in Organic Chemistry (135 citations), Toxicology (12 citations), Pollution (41 citations), Neurology (26 citations) and General Decision Sciences (6 citations). Wanting Chen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Lavinia Paternoster, Cathie Sudlow, Hongtao Xu, Yuang Gu, Guang Yang, Shuning Zhang, Tingting Tan, Qinghua He, Ming Li and Peixiang Ma. Their work appears in journals such as Forests, Frontiers in Pharmacology, PeerJ, Cerebral Cortex and International Journal of Human-Computer Interaction.
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.