Wanting Chen

2.8k citations
56 papers · 555 · h-index 14

Impact in

    • Click Chemistry and Applications
    • Sulfur-Based Synthesis Techniques
    • Wastewater Treatment and Nitrogen Removal

Papers in

Wanting Chen

48 papers receiving 539 citations

Peers

Wanting Chen
Comparison fields: 5 of 122
  • Organic Chemistry 125
  • Pollution 41
  • General Decision Sciences 6
  • Neurology 26
  • Toxicology 10
Replace Shaukat Ali with:
Shaukat Ali Pakistan
Juan Zou China
Jin-Sol Lee South Korea
Aline Hamadé Lebanon
Toshiko Tanaka Japan
Nitish Rai India
Nian Li China
Fengmei Li China
He Xu China
Xiaoqing Tan China
Wanting Chen relative to Shaukat Ali Pakistan Shaukat Ali's profile →
Citations per field
00.5×1.5×2.1×
Shaukat Ali · 1×
Citations per year

Countries citing papers authored by Wanting Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wanting Chen Line = papers co-authored together Wanting Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202169
2 200968
3 202236
4 202233
5 202129
6 201123
7 202423
8 202220
9 201918
10 202117
11 202117
12 201715
13 201813
14 202313
15 202212
16 202211
17 201911
18 202110
19 202210
20 20238

About Wanting Chen

Wanting Chen is a scholar working on Molecular Biology, Organic Chemistry, Cognitive Neuroscience, Plant Science and Experimental and Cognitive Psychology, having authored 56 papers that have together received 555 indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (5 papers), Click Chemistry and Applications (4 papers), Plant Molecular Biology Research (3 papers), Transcranial Magnetic Stimulation Studies (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Catalytic C–H Functionalization Methods (3 papers). The work is most often cited by research in Organic Chemistry (125 citations), Pollution (41 citations), General Decision Sciences (6 citations), Neurology (26 citations) and Toxicology (10 citations). Wanting Chen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Lavinia Paternoster, Cathie Sudlow, Yuang Gu, Hongtao Xu, Shuning Zhang, Guang Yang, Tingting Tan, Ming Li, Xiangqing Ma and Qinghua He. Their work appears in journals such as Forests, Frontiers in Pharmacology, Behavioural Brain Research, PeerJ and Journal of Visualized Experiments.

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.

Explore authors with similar magnitude of impact