Hua Cheng

3.2k citations
93 papers · 2.3k indexed · 1 hit paper · h-index 26
Topics
T-cell and Retrovirus Studies (16 papers)Animal Disease Management and Epidemiology (10 papers)Vector-Borne Animal Diseases (10 papers)
Partner nations
ChinaUnited StatesIndia

In The Last Decade

Hua Cheng

91 papers receiving 2.2k citations

Hit Papers

Impacts of climate change and human activities on grassla...2019202620212023201950100150200250

Peers

Hua Cheng
Comparison fields: 5 of 133
  • Molecular Biology 1.3k
  • Immunology 361
  • Ecology 308
  • Materials Chemistry 258
  • Global and Planetary Change 233
Replace Yong Tang with:
Yong Tang China
Sook Shin South Korea
J. Wilson United Kingdom
Heather Kirk Canada
Andrey Zharkikh United States
Yanli Yang China
Chang-Ming Bai China
Rob N. de Jong Netherlands
Luc Bélanger Canada
Hua Cheng relative to Yong Tang China Yong Tang's profile →
Citations per field
00.5×6.6×
Yong Tang · 1×
Citations per year

Countries citing papers authored by Hua Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Hua Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Cheng. A scholar is included among the top collaborators of Hua 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 Hua Cheng. Hua 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
#WorkIndexed citations
1 1
2 6
3 14
4 11
5 3
6 42
7 10
8 20
9 61
10 11
11 8
12 5
13 35
14 25
15
Application of Slope Unit Division to Risk Zoning of Geological Hazards of Pengyang County
3
16 28
17 57
18 52
19 10
20 57

About Hua Cheng

Hua Cheng is a scholar working on Agronomy and Crop Science, Immunology and Molecular Biology, having authored 93 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (16 papers), Animal Disease Management and Epidemiology (10 papers) and Vector-Borne Animal Diseases (10 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Immunology (361 citations) and Virology (80 citations). Hua Cheng has collaborated with scholars based in China, United States and India. Frequent co-authors include Nick V. Grishin, Yuxing Liao, R. Dustin Schaeffer, Jimin Pei, Lisa N. Kinch, Shuoyong Shi, Bong-Hyun Kim, Yixing Jiang, Feng‐Min Li and Xulong Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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