Gong Cheng

6.9k total citations · 2 hit papers
127 papers, 4.2k citations indexed

About

Gong Cheng is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Insect Science. According to data from OpenAlex, Gong Cheng has authored 127 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Public Health, Environmental and Occupational Health, 46 papers in Infectious Diseases and 39 papers in Insect Science. Recurrent topics in Gong Cheng's work include Mosquito-borne diseases and control (58 papers), Insect symbiosis and bacterial influences (34 papers) and Viral Infections and Vectors (31 papers). Gong Cheng is often cited by papers focused on Mosquito-borne diseases and control (58 papers), Insect symbiosis and bacterial influences (34 papers) and Viral Infections and Vectors (31 papers). Gong Cheng collaborates with scholars based in China, United States and Canada. Gong Cheng's co-authors include Penghua Wang, Xiaoping Xiao, Yibin Zhu, Xiaojing Pang, Xi Yu, Rudian Zhang, Yang Liu, Erol Fikrig, Kaixiao Nie and Senyan Du and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Gong Cheng

115 papers receiving 4.1k citations

Hit Papers

Evolutionary enhancement ... 2017 2026 2020 2023 2017 2024 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gong Cheng China 37 2.0k 1.5k 1.4k 973 775 127 4.2k
Fēi Dèng China 42 948 0.5× 2.5k 1.7× 673 0.5× 2.1k 2.2× 510 0.7× 288 5.8k
Xiao‐Guang Chen China 37 2.7k 1.3× 1.0k 0.7× 1.3k 0.9× 1.4k 1.4× 605 0.8× 203 5.4k
Penghua Wang United States 45 2.5k 1.2× 2.4k 1.7× 1.5k 1.0× 1.3k 1.3× 1.5k 1.9× 103 5.7k
Rushika Perera United States 31 2.0k 1.0× 1.6k 1.1× 489 0.3× 944 1.0× 339 0.4× 68 3.7k
Rong Zhang China 39 915 0.5× 1.9k 1.3× 337 0.2× 2.2k 2.3× 1.0k 1.3× 219 6.2k
Andrew D. Davidson United Kingdom 41 2.0k 1.0× 3.2k 2.2× 496 0.4× 1.1k 1.1× 576 0.7× 105 5.3k
Maurício Lacerda Nogueira Brazil 37 2.3k 1.2× 1.9k 1.3× 263 0.2× 570 0.6× 318 0.4× 217 4.0k
Marco Aurélio Krieger Brazil 34 1.6k 0.8× 536 0.4× 333 0.2× 1.5k 1.5× 291 0.4× 157 3.7k
Malaya K. Sahoo United States 33 1.2k 0.6× 2.0k 1.4× 155 0.1× 1.0k 1.1× 430 0.6× 133 4.2k
Renli Zhang China 24 644 0.3× 800 0.6× 275 0.2× 491 0.5× 226 0.3× 126 2.3k

Countries citing papers authored by Gong Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Gong Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gong Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Gong Cheng. A scholar is included among the top collaborators of Gong 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 Gong Cheng. Gong 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
1.
Tai, Wanbo, Wen Xiao, Yang Liu, et al.. (2025). Generation and characterization of neutralizing antibodies against M1R and B6R proteins of monkeypox virus. Nature Communications. 16(1). 3100–3100. 3 indexed citations
2.
Qian, Qiuhui, Ying Cheng, Gong Cheng, et al.. (2025). In-depth comparative immunotoxicity assessment of pristine and aged PLA microplastics in zebrafish larvae: Bioaccumulation and NF-κB signaling insights. Journal of Hazardous Materials. 497. 139700–139700.
3.
Tai, Wanbo, Xinyang Yu, Xinyu Zhuang, et al.. (2025). An mRNA vaccine against monkeypox virus inhibits infection by co-activation of humoral and cellular immune responses. Nature Communications. 16(1). 2971–2971. 8 indexed citations
4.
Cheng, Gong, Liang Wang, Yuling Han, et al.. (2025). Epidemiological and phylogenetic characteristics of human metapneumovirus in Beijing, China, 2014–2024. Signal Transduction and Targeted Therapy. 10(1). 300–300. 3 indexed citations
5.
Zhao, Yunxiang, Yixin Su, You Shu, et al.. (2025). A unified deep framework for peptide–major histocompatibility complex–T cell receptor binding prediction. Nature Machine Intelligence. 7(4). 650–660. 7 indexed citations
6.
Yang, Duomeng, Tingting Geng, Andrew G. Harrison, et al.. (2024). UBR5 promotes antiviral immunity by disengaging the transcriptional brake on RIG-I like receptors. Nature Communications. 15(1). 780–780. 7 indexed citations
7.
Xiao, Xiao, Yanan Fu, Congcong Huang, et al.. (2024). Inhibition of the RLR signaling pathway by SARS-CoV-2 ORF7b is mediated by MAVS and abrogated by ORF7b-homologous interfering peptide. Journal of Virology. 98(5). e0157323–e0157323. 8 indexed citations
8.
Guo, Xuan, et al.. (2024). A predictive language model for SARS-CoV-2 evolution. Signal Transduction and Targeted Therapy. 9(1). 353–353. 3 indexed citations
10.
Yang, Shuo, Meijie Tian, Rong Wang, et al.. (2024). Infection and chronic disease activate a systemic brain-muscle signaling axis. Science Immunology. 9(97). eadm7908–eadm7908. 9 indexed citations
11.
Tai, Wanbo, Shuaiyao Lu, Guangyu Zhao, et al.. (2023). An mRNA-based T-cell-inducing antigen strengthens COVID-19 vaccine against SARS-CoV-2 variants. Nature Communications. 14(1). 2962–2962. 35 indexed citations
12.
Zhu, Yibin, et al.. (2023). Advances in research on arboviral acquisition from hosts to mosquitoes. Current Opinion in Insect Science. 61. 101141–101141. 5 indexed citations
13.
Meng, Qian‐Fang, Wanbo Tai, Mingyao Tian, et al.. (2023). Inhalation delivery of dexamethasone with iSEND nanoparticles attenuates the COVID-19 cytokine storm in mice and nonhuman primates. Science Advances. 9(24). eadg3277–eadg3277. 76 indexed citations
14.
Yu, Xi, et al.. (2023). Mpox Virus: Its Molecular Evolution and Potential Impact on Viral Epidemiology. Viruses. 15(4). 995–995. 29 indexed citations
15.
Li, Maozhong, Jing Li, Kang Lu, et al.. (2023). Genome sequencing reveals molecular epidemiological characteristics and new recombinations of adenovirus in Beijing, China, 2014−2019. Journal of Medical Virology. 95(12). e29284–e29284. 3 indexed citations
16.
Zhao, Xin, Qing Tang, Lijuan Li, et al.. (2023). Viral Diversity and Epidemiology in Critically Endangered Yangtze Finless Porpoises (Neophocaena asiaeorientalisasiaeorientalis). Microbiology Spectrum. 11(4). e0081023–e0081023. 1 indexed citations
18.
Sun, Wenqiang, Lihong He, He Zhang, et al.. (2021). The self-assembled nanoparticle-based trimeric RBD mRNA vaccine elicits robust and durable protective immunity against SARS-CoV-2 in mice. Signal Transduction and Targeted Therapy. 6(1). 340–340. 55 indexed citations
19.
Du, Senyan, Yang Liu, Jianying Liu, et al.. (2019). Aedes mosquitoes acquire and transmit Zika virus by breeding in contaminated aquatic environments. Nature Communications. 10(1). 56 indexed citations
20.
Zhu, Yibin, Liangqin Tong, Kaixiao Nie, et al.. (2019). Host serum iron modulates dengue virus acquisition by mosquitoes. Nature Microbiology. 4(12). 2405–2415. 54 indexed citations

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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