Jing Cheng

923 total citations
36 papers, 744 citations indexed

About

Jing Cheng is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Jing Cheng has authored 36 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Cancer Research. Recurrent topics in Jing Cheng's work include Fungal and yeast genetics research (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and MicroRNA in disease regulation (3 papers). Jing Cheng is often cited by papers focused on Fungal and yeast genetics research (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and MicroRNA in disease regulation (3 papers). Jing Cheng collaborates with scholars based in China, Canada and United States. Jing Cheng's co-authors include Ting Zhang, Liang Luo, Jingying Xiang, Chun Zhao, Hua Zhao, Hao Wang, Mike Tyers, Daozhen Chen, Dong Liu and Tiejun Wang and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Jing Cheng

32 papers receiving 738 citations

Peers

Jing Cheng
Comparison fields: 5 of 94
  • Molecular Biology 533
  • Cancer Research 148
  • Biomedical Engineering 73
  • Oncology 61
  • Biochemistry 60
Replace Hassan Dariushnejad with:
Hassan Dariushnejad Iran
Khushbukhat Khan Pakistan
Mehdi Sabzichi Iran
Prachi Gupta India
Xiaoran Yin China
Parul Gupta India
Mahmood Khaksary Mahabady Iran
Hongqin Zhuang China
Jin Sun China
Ji‐Hye Ahn South Korea
Hassan Dariushnejad Iran View profile →
Citations per field, relative to Jing Cheng
Jing Cheng · 1×
Citations per year, relative to Jing Cheng
Jing Cheng · 1×

Countries citing papers authored by Jing Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jing Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Cheng. A scholar is included among the top collaborators of Jing 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 Jing Cheng. Jing 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 2
4 11
5 9
6 10
7 67
8 22
9 37
10 15
11 1
12 43
13 44
14 17
15 33
16 31
17 6
18
Research thinking and method of application of metabonomics in complicated theory system of Traditional Chinese Medicine
1
19 40
20 71

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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