Beibei Wang

1.4k citations
33 papers · 1.1k · h-index 15

Impact in

Papers in

    • Organometallic Complex Synthesis and Catalysis 4
    • Catalytic C–H Functionalization Methods 3
    • Chemical Thermodynamics and Molecular Structure 2
    • Molecular Sensors and Ion Detection 6
    • Analytical Chemistry and Chromatography 2

Beibei Wang

31 papers receiving 1.1k citations

Peers

Beibei Wang
Comparison fields: 5 of 117
  • Statistics, Probability and Uncertainty 105
  • Pharmacology 85
  • Organic Chemistry 266
  • Spectroscopy 139
  • Molecular Biology 452
Replace Chao‐Hong He with:
Chao‐Hong He China
S. Swaminathan India
Tomoya Suzuki Japan
Xingchu Gong China
Yun Chen China
Yongmei Wu China
M. S. Subramanian India
Xiaoyun Zhang China
Yuzuru Hayashi Japan
Ilya Kuselman Israel
Beibei Wang relative to Chao‐Hong He China Chao‐Hong He's profile →
Citations per field
00.5×8.1×
Chao‐Hong He · 1×
Citations per year

Countries citing papers authored by Beibei Wang

Since Specialization
Citations

This map shows the geographic impact of Beibei 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 Beibei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Wang more than expected).

Fields of papers citing papers by Beibei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beibei 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 Beibei Wang. The network helps show where Beibei Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Beibei Wang, 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 Beibei Wang Line = papers co-authored together Beibei Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013200
2 2014136
3 2017119
4 201193
5 202174
6 200764
7 201660
8 201954
9 202253
10 202349
11 202039
12 202130
13 201727
14 201725
15 202115
16 202014
17 200511
18 202010
19 20219
20 20209

About Beibei Wang

Beibei Wang is a scholar working on Organic Chemistry, Spectroscopy, Materials Chemistry, Molecular Biology and Process Chemistry and Technology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (6 papers), Organometallic Complex Synthesis and Catalysis (4 papers), Luminescence and Fluorescent Materials (4 papers), Carbon dioxide utilization in catalysis (3 papers), Catalytic C–H Functionalization Methods (3 papers), Chemical Thermodynamics and Molecular Structure (2 papers), Analytical Chemistry and Chromatography (2 papers) and Ginseng Biological Effects and Applications (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (105 citations), Pharmacology (85 citations), Organic Chemistry (266 citations), Spectroscopy (139 citations) and Molecular Biology (452 citations). Beibei Wang has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Qingsheng Wang, Zhubo Dai, Dong Wang, Xueli Zhang, Xianan Zhang, Luqi Huang, Yi Liu, Mingyu Shi, Faisal Khan and Wenhe Wang. Their work appears in journals such as Dyes and Pigments, Information Sciences, Scientific Reports, Metabolic Engineering and International Journal of Environmental Research and Public Health.

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.

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