Bing-Cheng Wang

19 papers receiving 747 citations

Peers

Bing-Cheng Wang
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 395
  • Cell Biology 210
  • Immunology and Allergy 67
  • Molecular Biology 388
  • Developmental Neuroscience 22
Replace Erika Mathes Lisabeth with:
Erika Mathes Lisabeth United States
Ehsan Amin Germany
Aurélie Perraud France
Yuichi Teranishi Japan
Xuemei Xie China
Sam Wells United States
Cristina D’Aniello Italy
Yusuke Suzuki Japan
Leena Karhinen Finland
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Citations per year

Countries citing papers authored by Bing-Cheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bing-Cheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999468
2 201492
3
Limonene chemoprevention of mammary carcinoma induction following direct in situ transfer of v-Ha-ras.
199460
4 201741
5 201837
6 202221
7 201416
8 20248
9 20255
10 20244
11 20244
12
Study on Identification Method of Corporate Life Cycle: Profile Deviation Method
20132
13 20242
14 20162
15 20121
16 20201
17 20241
18 20201
19 20081
20 20170

About Bing-Cheng Wang

Bing-Cheng Wang is a scholar working on Cellular and Molecular Neuroscience, Computational Mechanics, Mechanics of Materials, Mechanical Engineering and Analytical Chemistry, having authored 21 papers that have together received 767 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (5 papers), Heat Transfer and Optimization (4 papers), Adhesion, Friction, and Surface Interactions (2 papers), Heat and Mass Transfer in Porous Media (2 papers), Graphene research and applications (2 papers), Nanofluid Flow and Heat Transfer (2 papers), Composite Material Mechanics (2 papers) and Chromatography in Natural Products (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (395 citations), Cell Biology (210 citations), Immunology and Allergy (67 citations), Molecular Biology (388 citations) and Developmental Neuroscience (22 citations). Bing-Cheng Wang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Hui Miao, Michael S. Kinch, Erin L. Simon, James P. Basilion, Xinning Wang, Hong Guo, Steve Shih-Lin Huang, Warren D.W. Heston, Rong Zhang and Michael N. Gould. Their work appears in journals such as International Journal of Heat and Mass Transfer, Nature Cell Biology, Cryogenics, Molecular Cancer Therapeutics and International Journal of Refrigeration.

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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