Danyang Gong

1.8k total citations
31 papers, 685 citations indexed

About

Danyang Gong is a scholar working on Epidemiology, Oncology and Molecular Biology. According to data from OpenAlex, Danyang Gong has authored 31 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 17 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Danyang Gong's work include Viral-associated cancers and disorders (16 papers), Cytomegalovirus and herpesvirus research (16 papers) and Herpesvirus Infections and Treatments (9 papers). Danyang Gong is often cited by papers focused on Viral-associated cancers and disorders (16 papers), Cytomegalovirus and herpesvirus research (16 papers) and Herpesvirus Infections and Treatments (9 papers). Danyang Gong collaborates with scholars based in United States, China and France. Danyang Gong's co-authors include Ren Sun, Xinghong Dai, Ting-Ting Wu, Z. Hong Zhou, Yushen Du, Vaithilingaraja Arumugaswami, Nicholas C. Wu, Travis J. Chapa, Hongyu Deng and Jonathan Jih and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Danyang Gong

30 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danyang Gong United States 16 322 237 199 172 132 31 685
Kurt A. Swanson United States 14 562 1.7× 413 1.7× 346 1.7× 77 0.4× 41 0.3× 19 1.0k
Charles M. Stopford United States 10 142 0.4× 230 1.0× 156 0.8× 182 1.1× 66 0.5× 13 729
Enxiu Wang China 13 121 0.4× 298 1.3× 193 1.0× 196 1.1× 53 0.4× 21 743
Gwen M. Taylor United States 13 155 0.5× 180 0.8× 185 0.9× 38 0.2× 114 0.9× 29 601
Sonja Schmid United States 14 214 0.7× 377 1.6× 159 0.8× 77 0.4× 56 0.4× 21 784
Ghizlane Maarifi France 16 111 0.3× 400 1.7× 183 0.9× 99 0.6× 51 0.4× 25 717
Hongxing Zhao Sweden 20 183 0.6× 566 2.4× 197 1.0× 87 0.5× 108 0.8× 38 957
John Lyle United States 8 233 0.7× 223 0.9× 105 0.5× 89 0.5× 27 0.2× 15 571
Pierre-Emmanuel Joubert France 12 468 1.5× 311 1.3× 133 0.7× 66 0.4× 295 2.2× 19 904
Benjamin A. Diner United States 11 371 1.2× 469 2.0× 180 0.9× 88 0.5× 45 0.3× 11 976

Countries citing papers authored by Danyang Gong

Since Specialization
Citations

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

Fields of papers citing papers by Danyang Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danyang Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Danyang Gong. A scholar is included among the top collaborators of Danyang Gong 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 Danyang Gong. Danyang Gong 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.
Li, Danqing, Liangjun Zhao, Irwin Chen, et al.. (2022). Protocol for high-throughput cloning, expression, purification, and evaluation of bispecific antibodies. STAR Protocols. 3(2). 101428–101428. 4 indexed citations
2.
Sharma, Arvind, Xiaokang Zhang, Wanwisa Dejnirattisai, et al.. (2021). The epitope arrangement on flavivirus particles contributes to Mab C10’s extraordinary neutralization breadth across Zika and dengue viruses. Cell. 184(25). 6052–6066.e18. 50 indexed citations
3.
Liu, Wei, Yanxiang Cui, Caiyan Wang, et al.. (2021). Structures of Capsid and Capsid-Associated Tegument Complex Inside the Epstein-Barr Virus. Biophysical Journal. 120(3). 16a–16a.
4.
Estes, Bram, Athena Sudom, Danyang Gong, et al.. (2021). Next generation Fc scaffold for multispecific antibodies. iScience. 24(12). 103447–103447. 9 indexed citations
5.
Gong, Danyang, Timothy P. Riley, K.P. Bzymek, et al.. (2021). Rational selection of building blocks for the assembly of bispecific antibodies. mAbs. 13(1). 1870058–1870058. 11 indexed citations
6.
Du, Yushen, Judd F. Hultquist, Quan Zhou, et al.. (2020). mRNA display with library of even-distribution reveals cellular interactors of influenza virus NS1. Nature Communications. 11(1). 2449–2449. 13 indexed citations
7.
Gong, Danyang, Xinghong Dai, Jonathan Jih, et al.. (2019). DNA-Packing Portal and Capsid-Associated Tegument Complexes in the Tumor Herpesvirus KSHV. Cell. 178(6). 1329–1343.e12. 41 indexed citations
8.
Thaker, Shivani K, Travis J. Chapa, Gustavo Garcia, et al.. (2019). Differential Metabolic Reprogramming by Zika Virus Promotes Cell Death in Human versus Mosquito Cells. Cell Metabolism. 29(5). 1206–1216.e4. 68 indexed citations
9.
Gong, Danyang, Dawei Zhao, Yushen Du, et al.. (2018). High-Throughput Fitness Profiling of Zika Virus E Protein Reveals Different Roles for Glycosylation during Infection of Mammalian and Mosquito Cells. iScience. 1. 97–111. 31 indexed citations
10.
Dai, Xinghong, Danyang Gong, Jonathan Jih, et al.. (2018). Structure and mutagenesis reveal essential capsid protein interactions for KSHV replication. Nature. 553(7689). 521–525. 33 indexed citations
11.
Gong, Danyang, Yuchen Xiao, Yushen Du, et al.. (2016). A Herpesvirus Protein Selectively Inhibits Cellular mRNA Nuclear Export. Cell Host & Microbe. 20(5). 642–653. 39 indexed citations
12.
Du, Yushen, Nicholas C. Wu, Lin Jiang, et al.. (2016). Annotating Protein Functional Residues by Coupling High-Throughput Fitness Profile and Homologous-Structure Analysis. mBio. 7(6). 8 indexed citations
13.
Feng, Jiaying, Danyang Gong, Xudong Fu, et al.. (2015). M1 of Murine Gamma-Herpesvirus 68 Induces Endoplasmic Reticulum Chaperone Production. Scientific Reports. 5(1). 17228–17228. 4 indexed citations
14.
Wu, Nicholas C., C. Anders Olson, Yushen Du, et al.. (2015). Functional Constraint Profiling of a Viral Protein Reveals Discordance of Evolutionary Conservation and Functionality. PLoS Genetics. 11(7). e1005310–e1005310. 36 indexed citations
15.
Feng, Jun, Paul D. De Jesus, Danyang Gong, et al.. (2014). RIOK3 Is an Adaptor Protein Required for IRF3-Mediated Antiviral Type I Interferon Production. Journal of Virology. 88(14). 7987–7997. 41 indexed citations
16.
Dai, Xinghong, et al.. (2014). Organization of Capsid-Associated Tegument Components in Kaposi's Sarcoma-Associated Herpesvirus. Journal of Virology. 88(21). 12694–12702. 42 indexed citations
17.
Gong, Danyang, et al.. (2012). ZAP Inhibits Murine Gammaherpesvirus 68 ORF64 Expression and Is Antagonized by RTA. Journal of Virology. 87(5). 2735–2743. 27 indexed citations
18.
19.
Qi, Jing, Danyang Gong, & Hongyu Deng. (2011). CCAAT/enhancer binding proteins play a role in oriLyt-dependent genome replication during MHV-68 de novo infection. Protein & Cell. 2(6). 463–469. 1 indexed citations
20.
Qi, Jing, et al.. (2011). Identification of an RTA Responsive Element in Murine Gammaherpesvirus-68 Genome*. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 38(10). 936–944. 1 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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