Cong Zeng

2.4k total citations · 1 hit paper
35 papers, 928 citations indexed

About

Cong Zeng is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Cong Zeng has authored 35 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 10 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in Cong Zeng's work include SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (5 papers) and Immunotherapy and Immune Responses (4 papers). Cong Zeng is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (5 papers) and Immunotherapy and Immune Responses (4 papers). Cong Zeng collaborates with scholars based in China, United States and Egypt. Cong Zeng's co-authors include John P. Evans, Linda J. Saif, Eugene M. Oltz, Shan‐Lu Liu, Yi-Min Zheng, Gerard Lozanski, Richard J. Gumina, Shan-Lu Liu, Claire Carlin and Yu Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Cong Zeng

31 papers receiving 915 citations

Hit Papers

Neutralizing antibody responses elicited by SARS-CoV-2 mR... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Zeng China 16 631 285 148 125 80 35 928
Amrita Ojha United States 9 894 1.4× 356 1.2× 146 1.0× 146 1.2× 74 0.9× 14 1.2k
Maia Kavanagh Williamson United Kingdom 10 931 1.5× 384 1.3× 163 1.1× 166 1.3× 150 1.9× 13 1.3k
Prerna Arora Germany 10 879 1.4× 208 0.7× 127 0.9× 92 0.7× 84 1.1× 18 961
Amornrat O’Brien United States 12 495 0.8× 165 0.6× 186 1.3× 150 1.2× 77 1.0× 20 731
Bridget S. Banach United States 5 419 0.7× 173 0.6× 131 0.9× 280 2.2× 70 0.9× 7 630
Cheila Rocha Germany 13 725 1.1× 221 0.8× 77 0.5× 114 0.9× 89 1.1× 27 943
Maia Pavlovic United States 3 784 1.2× 241 0.8× 128 0.9× 114 0.9× 48 0.6× 7 876
Daniela Fera United States 8 623 1.0× 248 0.9× 65 0.4× 142 1.1× 81 1.0× 9 868
Amy Kempf Germany 12 1.5k 2.4× 380 1.3× 206 1.4× 160 1.3× 91 1.1× 27 1.6k

Countries citing papers authored by Cong Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Cong Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Zeng. A scholar is included among the top collaborators of Cong Zeng 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 Cong Zeng. Cong Zeng 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.
Cheng, Tingting, et al.. (2024). Suppression of P53 Pathway is an Important Factor Inducing Acute Graft-versus-Host Disease Through T Cell Activation Based on Bioinformatics Analysis. Journal of Inflammation Research. Volume 17. 4093–4104. 1 indexed citations
2.
Chen, Chih‐Hsiung, Saiaditya Badeti, Cong Zeng, et al.. (2024). S309-CAR-NK cells bind the Omicron variants in vitro and reduce SARS-CoV-2 viral loads in humanized ACE2-NSG mice. Journal of Virology. 98(6). e0003824–e0003824. 2 indexed citations
4.
Hua, Xiao, et al.. (2024). Research on innovation of backbasket throwing embroidery ball supported by biomechanics and information technology. Molecular & cellular biomechanics. 21(4). 587–587.
5.
Zhang, Yunbin, et al.. (2024). Trichosanthin elicits antitumor activity via MICU3 mediated mitochondria calcium influx. Journal of Advanced Research. 75. 765–778. 3 indexed citations
6.
Qu, Panke, John P. Evans, Chaitanya Kurhade, et al.. (2023). Determinants and Mechanisms of the Low Fusogenicity and High Dependence on Endosomal Entry of Omicron Subvariants. mBio. 14(1). e0317622–e0317622. 18 indexed citations
7.
Kenney, Adam D., Ashley Zani, John P. Evans, et al.. (2023). Prime-Pull Immunization of Mice with a BcfA-Adjuvanted Vaccine Elicits Sustained Mucosal Immunity That Prevents SARS-CoV-2 Infection and Pathology. The Journal of Immunology. 210(9). 1257–1271. 7 indexed citations
8.
Hersi, Fatema, Anusha Sebastian, Hamadeh Tarazi, et al.. (2023). Discovery of novel papain-like protease inhibitors for potential treatment of COVID-19. European Journal of Medicinal Chemistry. 254. 115380–115380. 14 indexed citations
9.
Feng, Jiangpeng, Miao He, Jiali Li, et al.. (2023). NSUN2-mediated m5C modification of HBV RNA positively regulates HBV replication. PLoS Pathogens. 19(12). e1011808–e1011808. 26 indexed citations
10.
Cui, Zhifen, Cong Zeng, Furong Huang, et al.. (2022). Cas13d knockdown of lung protease Ctsl prevents and treats SARS-CoV-2 infection. Nature Chemical Biology. 18(10). 1056–1064. 39 indexed citations
11.
Zeng, Cong, Tingting Cheng, Yi Liu, et al.. (2022). The absence of AhR in CD4+ T cells in patients with acute graft-versus-host disease may be related to insufficient CTCF expression. Clinical Epigenetics. 14(1). 109–109. 5 indexed citations
12.
13.
Zeng, Cong, et al.. (2022). Development and Validation of a Novel Mitochondrion and Ferroptosis-Related Long Non-Coding RNA Prognostic Signature in Hepatocellular Carcinoma. Frontiers in Cell and Developmental Biology. 10. 844759–844759. 9 indexed citations
14.
Kim, Eunsoo, Cong Zeng, Sun Hee Kim, et al.. (2021). Inhibition of elastase enhances the adjuvanticity of alum and promotes anti–SARS-CoV-2 systemic and mucosal immunity. Proceedings of the National Academy of Sciences. 118(34). 20 indexed citations
15.
Zeng, Cong, John P. Evans, Tiffany King, et al.. (2021). SARS-CoV-2 spreads through cell-to-cell transmission. Proceedings of the National Academy of Sciences. 119(1). 154 indexed citations
16.
Zeng, Cong, John P. Evans, Julia N. Faraone, et al.. (2021). Neutralization of SARS-CoV-2 Variants of Concern Harboring Q677H. mBio. 12(5). e0251021–e0251021. 27 indexed citations
17.
Guan, Renguo, et al.. (2021). Development of a novel prognostic nomogram for the early recurrence of liver cancer after curative hepatectomy. Annals of Translational Medicine. 9(20). 1541–1541. 8 indexed citations
18.
Zeng, Cong, Andong Wu, Yi Wang, et al.. (2016). Identification and Characterization of a Ribose 2′- O -Methyltransferase Encoded by the Ronivirus Branch of Nidovirales. Journal of Virology. 90(15). 6675–6685. 23 indexed citations
19.
Wu, Andong, Yi Wang, Cong Zeng, et al.. (2015). Prediction and biochemical analysis of putative cleavage sites of the 3C-like protease of Middle East respiratory syndrome coronavirus. Virus Research. 208. 56–65. 32 indexed citations
20.
Xu, Jin, Yu Chen, Yingming Sun, et al.. (2013). Characterization of the guanine-N7 methyltransferase activity of coronavirus nsp14 on nucleotide GTP. Virus Research. 176(1-2). 45–52. 49 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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