Meiting Wang

494 citations
32 papers · 340 · h-index 11

Impact in

Papers in

Meiting Wang

29 papers receiving 338 citations

Peers

Meiting Wang
Comparison fields: 5 of 87
  • Computational Theory and Mathematics 57
  • Atomic and Molecular Physics, and Optics 84
  • Molecular Biology 176
  • Organic Chemistry 52
  • Physical and Theoretical Chemistry 16
Replace Samarjeet Prasad with:
Samarjeet Prasad United States
T. Yu. Astakhova Russia
Fuchun Ge China
Shaojie Ma China
Vladimír Sládek Slovakia
Chunhu Tan United States
Stefan Schnabel Germany
Meiting Wang relative to Samarjeet Prasad United States Samarjeet Prasad's profile →
Citations per field
00.5×10×14×
Samarjeet Prasad · 1×
Citations per year

Countries citing papers authored by Meiting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Meiting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201678
2 202439
3 201731
4 202025
5 201922
6 201819
7 201817
8 201814
9 201911
10 202210
11 201710
12 20218
13 20237
14 20227
15 20246
16 20235
17 20245
18 20195
19 20174
20 20233

About Meiting Wang

Meiting Wang is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Organic Chemistry, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 32 papers that have together received 340 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Spectroscopy and Quantum Chemical Studies (7 papers), Chemical Synthesis and Analysis (5 papers), Computational Drug Discovery Methods (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), Free Radicals and Antioxidants (2 papers), Immune Cell Function and Interaction (2 papers) and Advanced Chemical Physics Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (57 citations), Atomic and Molecular Physics, and Optics (84 citations), Molecular Biology (176 citations), Organic Chemistry (52 citations) and Physical and Theoretical Chemistry (16 citations). Meiting Wang has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Ye Mei, Xiangyu Jia, Ulf Ryde, Yihan Shao, Bernard R. Brooks, John Z. H. Zhang, Gerhard König, Pengfei Li, Wenxin Hu and Huihui Sun. Their work appears in journals such as Molecules, Journal of Chemical Theory and Computation, RSC Advances, Journal of Chemical Information and Modeling and Measurement.

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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