Hua Cheng

129 total papers · 3.2k total citations
92 papers, 2.2k citations indexed

About

Hua Cheng is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Hua Cheng has authored 92 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 20 papers in Immunology and 16 papers in Plant Science. Recurrent topics in Hua Cheng's work include T-cell and Retrovirus Studies (16 papers), Animal Disease Management and Epidemiology (10 papers) and Vector-Borne Animal Diseases (10 papers). Hua Cheng is often cited by papers focused on T-cell and Retrovirus Studies (16 papers), Animal Disease Management and Epidemiology (10 papers) and Vector-Borne Animal Diseases (10 papers). Hua Cheng collaborates with scholars based in China, United States and India. Hua Cheng's co-authors include Nick V. Grishin, Yuxing Liao, R. Dustin Schaeffer, Jimin Pei, Lisa N. Kinch, Bong-Hyun Kim, Shuoyong Shi, Yixing Jiang, Feng‐Min Li and Tong Ren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hua Cheng

90 papers receiving 2.2k citations

Hit Papers

Impacts of climate change... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hua Cheng 1.3k 359 307 257 232 92 2.2k
Carol L. Williams 1.5k 1.2× 274 0.8× 189 0.6× 73 0.3× 109 0.5× 96 2.8k
Takao Yoshida 1.2k 0.9× 503 1.4× 741 2.4× 535 2.1× 296 1.3× 153 3.3k
Henning Steen 1.4k 1.1× 114 0.3× 698 2.3× 100 0.4× 159 0.7× 86 3.1k
Runsheng Li 1.4k 1.1× 483 1.3× 307 1.0× 51 0.2× 194 0.8× 114 3.0k
Yong Tang 1.4k 1.1× 433 1.2× 277 0.9× 39 0.2× 259 1.1× 79 2.5k
W. Ross Ellington 1.5k 1.2× 242 0.7× 939 3.1× 256 1.0× 346 1.5× 102 3.2k
Yu‐San Han 818 0.7× 200 0.6× 291 0.9× 63 0.2× 356 1.5× 124 2.7k
Heng Zhang 1.4k 1.1× 155 0.4× 110 0.4× 202 0.8× 91 0.4× 106 2.9k
Na Yu 1.6k 1.3× 310 0.9× 216 0.7× 63 0.2× 54 0.2× 120 3.1k
Hynek Strnad 1.4k 1.1× 289 0.8× 268 0.9× 90 0.4× 36 0.2× 89 2.7k

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

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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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