Yang Fang

3.1k total citations
101 papers, 2.2k citations indexed

About

Yang Fang is a scholar working on Molecular Biology, Industrial and Manufacturing Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yang Fang has authored 101 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 17 papers in Industrial and Manufacturing Engineering and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yang Fang's work include Constructed Wetlands for Wastewater Treatment (16 papers), Occupational and environmental lung diseases (12 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers). Yang Fang is often cited by papers focused on Constructed Wetlands for Wastewater Treatment (16 papers), Occupational and environmental lung diseases (12 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers). Yang Fang collaborates with scholars based in China, United States and United Kingdom. Yang Fang's co-authors include Hai Zhao, Yanling Jin, Kaize He, P. Jeremy Wang, Zhuolin Yi, Yujin Cao, Huibo Luo, Anping Du, Dayu Liu and Yuhong Huang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Genes & Development.

In The Last Decade

Yang Fang

96 papers receiving 2.2k citations

Peers

Yang Fang
Comparison fields: 5 of 147
  • Molecular Biology 1.0k
  • Plant Science 331
  • Food Science 293
  • Industrial and Manufacturing Engineering 276
  • Pulmonary and Respiratory Medicine 211
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Citations per field, relative to Yang Fang
Yang Fang · 1×
Citations per year, relative to Yang Fang
Yang Fang · 1×

Countries citing papers authored by Yang Fang

Since Specialization
Citations

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

Fields of papers citing papers by Yang Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Fang. A scholar is included among the top collaborators of Yang Fang 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 Yang Fang. Yang Fang 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 2
2 4
3 13
4 2
5 5
6 13
7 11
8 5
9
MicroRNA-32 inhibits the proliferation, migration and invasion of human colon cancer cell lines by targeting E2F transcription factor 5
0
10 13
11 12
12 21
13 22
14 23
15 28
16 32
17 62
18 34
19
Role of Activity of PDGF Induced Extracellular Signal Regulated Kinase1/2 in Rat Silicotic Fibrosis
0
20 33

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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