Qing Cheng

1.1k total citations
52 papers, 753 citations indexed

About

Qing Cheng is a scholar working on Molecular Biology, Plant Science and Industrial and Manufacturing Engineering. According to data from OpenAlex, Qing Cheng has authored 52 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 23 papers in Plant Science and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Qing Cheng's work include Plant Molecular Biology Research (14 papers), Plant Reproductive Biology (10 papers) and Plant Gene Expression Analysis (6 papers). Qing Cheng is often cited by papers focused on Plant Molecular Biology Research (14 papers), Plant Reproductive Biology (10 papers) and Plant Gene Expression Analysis (6 papers). Qing Cheng collaborates with scholars based in China, United States and Australia. Qing Cheng's co-authors include Huolin Shen, Liang Sun, H. Kim Lyerly, Joseph Geradts, Leonard Μ. Neckers, Jeffrey T. Chang, Neil L. Spector, Timothy Haystead, Mary V. Relling and William E. Evans and has published in prestigious journals such as Nano Letters, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Qing Cheng

47 papers receiving 741 citations

Peers

Qing Cheng
Comparison fields: 5 of 113
  • Molecular Biology 396
  • Plant Science 208
  • Public Health, Environmental and Occupational Health 83
  • Rheumatology 54
  • Genetics 48
Replace Sufang Wang with:
Sufang Wang China
Sungho Shin South Korea
Adrian P. Scott Australia
Patrick G. Telmer Canada
Г. Е. Онищенко Russia
Kenji Akasaki Japan
Wenwen Wei China
Sílvio Roberto Consonni Brazil
Lili Yue United States
Koichiro Takeshige Japan
Sufang Wang China View profile →
Citations per field, relative to Qing Cheng
Qing Cheng · 1×
Citations per year, relative to Qing Cheng
Qing Cheng · 1×

Countries citing papers authored by Qing Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Qing Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Cheng. A scholar is included among the top collaborators of Qing 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 Qing Cheng. Qing 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 5
3 10
4 0
5 1
6 0
7 0
8 0
9 4
10 8
11 5
12 16
13 18
14 9
15 22
16 10
17 133
18 20
19 22
20
Features and utilization of fly ash in power station
1

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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