Lang Gong

1.8k total citations · 1 hit paper
76 papers, 1.2k citations indexed

About

Lang Gong is a scholar working on Infectious Diseases, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, Lang Gong has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Infectious Diseases, 39 papers in Agronomy and Crop Science and 34 papers in Animal Science and Zoology. Recurrent topics in Lang Gong's work include Animal Disease Management and Epidemiology (39 papers), Viral gastroenteritis research and epidemiology (37 papers) and Animal Virus Infections Studies (34 papers). Lang Gong is often cited by papers focused on Animal Disease Management and Epidemiology (39 papers), Viral gastroenteritis research and epidemiology (37 papers) and Animal Virus Infections Studies (34 papers). Lang Gong collaborates with scholars based in China, Belgium and Maldives. Lang Gong's co-authors include Yongchang Cao, Guihong Zhang, Chunyi Xue, Zhichao Xu, Qingfeng Zhou, Heng Wang, Yun Zhang, Jie Li, Qi Gao and Peirong Jiao and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Virology.

In The Last Decade

Lang Gong

72 papers receiving 1.2k citations

Hit Papers

Global Dynamics of Porcine Enteric Coronavirus PEDV Epide... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Global Dynamics of Porcine Enteric Coronavirus PEDV Epidemiology, Evolution, and Transmission
    2023 97 citations Lang Gong, Chunyi Xue et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lang Gong China 20 683 562 389 266 215 76 1.2k
Jue Liu China 19 595 0.9× 743 1.3× 177 0.5× 515 1.9× 297 1.4× 75 1.3k
Miriam Pedrera Spain 19 288 0.4× 196 0.3× 419 1.1× 105 0.4× 142 0.7× 51 796
Angke Zhang China 17 320 0.5× 301 0.5× 171 0.4× 164 0.6× 55 0.3× 41 720
Zhangyong Ning China 19 334 0.5× 218 0.4× 398 1.0× 155 0.6× 662 3.1× 67 1.2k
Ulrike Blohm Germany 19 278 0.4× 120 0.2× 524 1.3× 73 0.3× 295 1.4× 41 1.0k
Yingzuo Bi China 18 382 0.6× 448 0.8× 132 0.3× 149 0.6× 267 1.2× 58 916
Giulia Franzoni Italy 19 400 0.6× 156 0.3× 668 1.7× 88 0.3× 49 0.2× 45 1.0k
Hongxia Shao China 20 226 0.3× 241 0.4× 116 0.3× 202 0.8× 314 1.5× 61 858
Hua Wu China 15 432 0.6× 376 0.7× 84 0.2× 293 1.1× 76 0.4× 31 670

Countries citing papers authored by Lang Gong

Since Specialization
Citations

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

Fields of papers citing papers by Lang Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lang Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Lang Gong. A scholar is included among the top collaborators of Lang 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 Lang Gong. Lang 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
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Gao, Qi, Yifan Xu, Xiaoyu Zheng, et al.. (2024). Deoxycholic acid inhibits ASFV replication by inhibiting MAPK signaling pathway. International Journal of Biological Macromolecules. 266(Pt 1). 130939–130939. 4 indexed citations
3.
Liu, Xing, Tao Tian, Zhicheng Qian, et al.. (2024). RpIFN-λ1 alleviates the clinical symptoms of porcine epidemic diarrhea. International Journal of Biological Macromolecules. 282(Pt 2). 136712–136712.
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Li, Shaofang, et al.. (2024). The evolution, complexity, and diversity of swine influenza viruses in China: A hidden public health threat. Virology. 598. 110167–110167. 3 indexed citations
6.
Yin, Dan, Hui Lv, Xiaoyu Zhou, et al.. (2024). Punicalagin Inhibits African Swine Fever Virus Replication by Targeting Early Viral Stages and Modulating Inflammatory Pathways. Veterinary Sciences. 11(9). 440–440. 2 indexed citations
7.
Yin, Dan, Bin Shi, Lang Gong, et al.. (2024). Function investigation of p11.5 in ASFV infection. Virologica Sinica. 39(3). 469–477. 3 indexed citations
8.
Hong, Samuel L., Yue Li, Xiaopeng Gao, et al.. (2024). Untangling lineage introductions, persistence and transmission drivers of HP-PRRSV sublineage 8.7. Nature Communications. 15(1). 8842–8842. 8 indexed citations
9.
Zhang, Wenbo, Jiangnan Yi, Pei Zhou, et al.. (2024). pK205R targets the proximal element of IFN-I signaling pathway to assist African swine fever virus to escape host innate immunity at the early stage of infection. PLoS Pathogens. 20(10). e1012613–e1012613. 4 indexed citations
10.
Huang, Zhao, et al.. (2024). Identification of a novel B cell epitope of ASFV pCP312R recognized using a monoclonal antibody. Veterinary Microbiology. 298. 110247–110247. 1 indexed citations
11.
Liang, Yifan, Qi Gao, Zhao Huang, et al.. (2024). ALIX and TSG101 are essential for cellular entry and replication of two porcine alphacoronaviruses. PLoS Pathogens. 20(3). e1012103–e1012103. 5 indexed citations
12.
Gao, Han, Xiaopeng Gao, Xing Liu, et al.. (2024). African swine fever virus maintains de novo global cellular protein synthesis and inhibits stress granules formation via dephosphorylating eIF2α. Veterinary Microbiology. 290. 109988–109988. 4 indexed citations
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Zheng, Xiaoyu, Yifan Liang, Peng Qin, et al.. (2024). Porcine alveolar macrophages host proteins interacting with African swine fever virus p72. Frontiers in Microbiology. 15. 1370417–1370417. 3 indexed citations
15.
Chen, Yang, Zhi Wei, Yankuo Sun, et al.. (2023). Dihydromyricetin inhibits African swine fever virus replication by downregulating toll-like receptor 4-dependent pyroptosis in vitro. Veterinary Research. 54(1). 58–58. 23 indexed citations
16.
Gong, Ting, et al.. (2023). KPNA2 suppresses porcine epidemic diarrhea virus replication by targeting and degrading virus envelope protein through selective autophagy. Journal of Virology. 97(12). e0011523–e0011523. 9 indexed citations
17.
Gao, Qi, Yunlong Yang, Jiachen Zheng, et al.. (2022). Adaptation of African swine fever virus to porcine kidney cells stably expressing CD163 and Siglec1. Frontiers in Immunology. 13. 1015224–1015224. 18 indexed citations
18.
Gong, Lang, et al.. (2020). Effects of physical and chemical factors on pseudorabies virus activity in vitro. BMC Veterinary Research. 16(1). 358–358. 4 indexed citations
19.
Wang, Jingyu, Lang Gong, Weidong Zhang, et al.. (2020). Wnt/β-catenin signaling pathway inhibits porcine reproductive and respiratory syndrome virus replication by enhancing the nuclear factor-κB-dependent innate immune response. Veterinary Microbiology. 251. 108904–108904. 16 indexed citations
20.
Gong, Lang, et al.. (2018). Neutralizing antibodies against porcine epidemic diarrhea virus block virus attachment and internalization. Virology Journal. 15(1). 133–133. 27 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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