Tingfang Wang

882 total citations
46 papers, 610 citations indexed

About

Tingfang Wang is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Tingfang Wang has authored 46 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Complementary and alternative medicine and 6 papers in Pharmacology. Recurrent topics in Tingfang Wang's work include Traditional Chinese Medicine Analysis (8 papers), Advanced Nanomaterials in Catalysis (5 papers) and Nanoparticle-Based Drug Delivery (5 papers). Tingfang Wang is often cited by papers focused on Traditional Chinese Medicine Analysis (8 papers), Advanced Nanomaterials in Catalysis (5 papers) and Nanoparticle-Based Drug Delivery (5 papers). Tingfang Wang collaborates with scholars based in China, United States and Taiwan. Tingfang Wang's co-authors include Liyan Xiong, Chuan Zhang, Jun Liao, Yi Li, Ying Lü, Zhe‐Sheng Chen, Yun Wang, Yiming Lu, Can Zhang and Lingjing Xue and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Chemical Engineering Journal.

In The Last Decade

Tingfang Wang

46 papers receiving 599 citations

Peers

Tingfang Wang
Comparison fields: 5 of 96
  • Molecular Biology 207
  • Biomedical Engineering 132
  • Materials Chemistry 112
  • Biomaterials 107
  • Neurology 69
Replace Liyan Xiong with:
Liyan Xiong China
Kaja Urbańska Poland
Kang Choon Lee South Korea
Mengyu Chen China
Zhengxia Liu China
Jianping Wang China
Bruna dos Santos Rodrigues United States
Manal Alaamery Saudi Arabia
Alice Polchi Italy
Liyan Xiong China View profile →
Citations per field, relative to Tingfang Wang
Tingfang Wang · 1×
Citations per year, relative to Tingfang Wang
Tingfang Wang · 1×

Countries citing papers authored by Tingfang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tingfang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingfang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tingfang Wang. A scholar is included among the top collaborators of Tingfang Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tingfang Wang. Tingfang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 2
3 50
4 63
5 1
6 4
7 5
8 40
9 1
10 30
11 18
12 10
13 72
14 9
15 2
16 4
17
A Novel Weighting Attribute Method for Binary Classification
1
18 59
19 9
20 11

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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