Bei Huang

4.9k total citations
125 papers, 3.0k citations indexed

About

Bei Huang is a scholar working on Immunology, Molecular Biology and Ecology. According to data from OpenAlex, Bei Huang has authored 125 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Immunology, 27 papers in Molecular Biology and 19 papers in Ecology. Recurrent topics in Bei Huang's work include interferon and immune responses (31 papers), Aquaculture disease management and microbiota (31 papers) and Immune Response and Inflammation (22 papers). Bei Huang is often cited by papers focused on interferon and immune responses (31 papers), Aquaculture disease management and microbiota (31 papers) and Immune Response and Inflammation (22 papers). Bei Huang collaborates with scholars based in China, United States and Germany. Bei Huang's co-authors include Pin Nie, Donghui Wen, Shan Nan Chen, Qinglin Mu, Zhen Gan, Zhen Xu, Zhiguo Su, Lyujun Chen, Tianjiao Dai and Yile Tao and has published in prestigious journals such as Nature Communications, The Journal of Immunology and The Science of The Total Environment.

In The Last Decade

Bei Huang

117 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bei Huang China 32 1.4k 668 479 474 277 125 3.0k
Richard Cuthbert United Kingdom 42 750 0.6× 513 0.8× 542 1.1× 2.5k 5.4× 51 0.2× 155 5.6k
Erika Mittge United States 8 1.2k 0.9× 1.1k 1.6× 163 0.3× 322 0.7× 61 0.2× 8 2.3k
Frederick W. Goetz United States 37 1.8k 1.3× 598 0.9× 63 0.1× 558 1.2× 172 0.6× 125 4.1k
Cheol Young Choi South Korea 34 1.2k 0.9× 670 1.0× 322 0.7× 985 2.1× 125 0.5× 222 4.1k
Troy Ott United States 45 2.4k 1.8× 738 1.1× 34 0.1× 523 1.1× 239 0.9× 118 5.6k
Linsheng Song China 44 3.6k 2.6× 1.5k 2.3× 241 0.5× 990 2.1× 219 0.8× 202 5.8k
Susan J. Robertson Canada 24 748 0.6× 1.1k 1.6× 75 0.2× 143 0.3× 103 0.4× 39 2.4k
Beatriz Novoa Spain 59 5.9k 4.4× 1.9k 2.8× 917 1.9× 2.0k 4.2× 487 1.8× 277 10.2k
Kyu‐Ho Lee South Korea 31 642 0.5× 2.5k 3.7× 154 0.3× 364 0.8× 303 1.1× 105 3.9k
Wenxiang Li China 25 895 0.7× 1.1k 1.6× 149 0.3× 398 0.8× 359 1.3× 116 2.6k

Countries citing papers authored by Bei Huang

Since Specialization
Citations

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

Fields of papers citing papers by Bei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Huang. A scholar is included among the top collaborators of Bei Huang 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 Bei Huang. Bei Huang 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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Xiang, Chao, Wenxing Li, Xiaoling Zhou, et al.. (2025). Myd88 functions as a negative regulator of IRF11-mediated IFN production in teleosts. Developmental & Comparative Immunology. 167. 105388–105388.
4.
Zheng, Yuhan, Zhiguo Su, Dantong Liu, et al.. (2024). Metagenomics reveals the influence of small microplastics on microbial communities in coastal sediments. The Science of The Total Environment. 914. 169982–169982. 2 indexed citations
5.
Orkin, Joseph D., Kai He, Zhenhua Guan, et al.. (2024). Landscape and conservation genetics of western black crested gibbons (Nomascus concolor) in China. American Journal of Primatology. 87(1). e23662–e23662.
6.
Su, Zhiguo, April Z. Gu, Donghui Wen, et al.. (2024). Rapid identification of antibiotic resistance gene hosts by prescreening ARG-like reads. Environmental Science and Ecotechnology. 23. 100502–100502. 3 indexed citations
7.
Cai, Xinyi, et al.. (2023). Coupling of microplastic contamination in organisms and the environment: Evidence from the tidal flat ecosystem of Hangzhou Bay, China. Journal of Hazardous Materials. 457. 131838–131838. 13 indexed citations
8.
Chen, Shan Nan, Bo Li, Zhen Gan, et al.. (2023). Transcriptional Regulation and Signaling of Type IV IFN with Identification of the ISG Repertoire in an Amphibian Model, Xenopus laevis. The Journal of Immunology. 210(11). 1771–1789. 6 indexed citations
9.
Li, Wenxing, Zhixuan Wang, Ying Liang, Wenshu Huang, & Bei Huang. (2022). The origin and loss of interferon regulatory factor 10 (IRF10) in different lineages of vertebrates. Gene. 854. 147083–147083. 6 indexed citations
10.
Chen, Shan Nan, Zhen Gan, Jing Hou, et al.. (2022). Identification and establishment of type IV interferon and the characterization of interferon-υ including its class II cytokine receptors IFN-υR1 and IL-10R2. Nature Communications. 13(1). 999–999. 56 indexed citations
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Huang, Bei, et al.. (2018). PCV2 infection activates the cGAS/STING signaling pathway to promote IFN-β production and viral replication in PK-15 cells. Veterinary Microbiology. 227. 34–40. 21 indexed citations
13.
Laghari, Zubair Ahmed, Li Li, Shan Nan Chen, et al.. (2017). Composition and transcription of all interferon regulatory factors (IRFs), IRF1‒11 in a perciform fish, the mandarin fish, Siniperca chuatsi. Developmental & Comparative Immunology. 81. 127–140. 40 indexed citations
14.
Ruan, Bai, Shan Nan Chen, Jing Hou, et al.. (2017). Two type II IFN members, IFN-γ and IFN-γ related (rel), regulate differentially IRF1 and IRF11 in zebrafish. Fish & Shellfish Immunology. 65. 103–110. 25 indexed citations
15.
Huang, Wen, Shan Chen, Zhixuan Wang, et al.. (2016). Molecular cloning and expression analysis of a fish specific interferon regulatory factor, IRF11, in orange spotted grouper, Epinephelus coioides. Fish & Shellfish Immunology. 60. 368–379. 22 indexed citations
16.
Mu, Qinglin, et al.. (2015). [Distribution, sources and risk assessment of polycyclic aromatic hydrocarbons (PAHs) in surface sediments of Yangtze estuary and Zhejiang coastal areas].. PubMed. 36(3). 839–46. 8 indexed citations
17.
Li, Junhua, et al.. (2012). Expression pattern, promoter activity and bactericidal property of β-defensin from the mandarin fish Siniperca chuatsi. Fish & Shellfish Immunology. 33(3). 522–531. 51 indexed citations
18.
Chen, Xiaohong, et al.. (2011). SPECIES COMPOSITION AND COMMUNITY STRUCTURE CHARACTERISTICS OF ZOOPLANKTON IN THE ZHOUSHAN FISHING GROUND AND ITS ADJACENT AREA. Acta Hydrobiologica Sinica. 35(1). 183–193. 2 indexed citations
19.
Pan, Ting, Ming Xian Chang, Bei Huang, et al.. (2011). Cloning and expression of Toll-like receptors 1 and 2 from a teleost fish, the orange-spotted grouper Epinephelus coioides. Veterinary Immunology and Immunopathology. 141(3-4). 173–182. 105 indexed citations
20.
Huang, Bei, et al.. (2010). CLONING AND IDENTIFICATION OF A SHORT TYPE PEPTIDOGLYCAN RECOGNITION PROTEIN IN XENOPUS TROPICALIS. Acta Hydrobiologica Sinica. 34(5). 922–926. 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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