Yun Cheng

596 total citations
28 papers, 342 citations indexed

About

Yun Cheng is a scholar working on Infectious Diseases, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Yun Cheng has authored 28 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 6 papers in Ocean Engineering and 6 papers in Mechanical Engineering. Recurrent topics in Yun Cheng's work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (5 papers) and Enhanced Oil Recovery Techniques (5 papers). Yun Cheng is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (5 papers) and Enhanced Oil Recovery Techniques (5 papers). Yun Cheng collaborates with scholars based in China, Hong Kong and Slovakia. Yun Cheng's co-authors include Jian Deng, Li Wang, Xuemei Jiang, Jing Zhang, Pei‐Hui Wang, Meng‐Wei Zhuang, Jie Ding, Chaomin Sun, Jingfang Liu and Jian Zhou and has published in prestigious journals such as Journal of Hepatology, International Journal of Hydrogen Energy and Applied Microbiology and Biotechnology.

In The Last Decade

Yun Cheng

25 papers receiving 340 citations

Peers

Yun Cheng
Comparison fields: 5 of 85
  • Infectious Diseases 207
  • Molecular Biology 56
  • Immunology 42
  • Epidemiology 40
  • Neurology 31
Replace Rui Gan with:
Rui Gan China
Lintao Sai China
Guoling Wang China
Hamid Motamedi Iran
Roberto Gozalbo‐Rovira Spain
Thomas Mehoke United States
Giorgio Dirani Italy
Hamsa T. Tayeb Saudi Arabia
Pattama Torvorapanit Thailand
Carla Prezioso Italy
Rui Gan China View profile →
Citations per field, relative to Yun Cheng
Yun Cheng · 1×
Citations per year, relative to Yun Cheng
Yun Cheng · 1×

Countries citing papers authored by Yun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Cheng. A scholar is included among the top collaborators of Yun Cheng 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 Yun Cheng. Yun Cheng 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 1
2 0
3 1
4 0
5 0
6 2
7 8
8 5
9 2
10 12
11 4
12 10
13 19
14 5
15 29
16 6
17 136
18 18
19
[Level of the cytokine secreted by periferal blood mononuclear cells in patients with chronic hepatitis C before antiviral therapy].
1
20 43

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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