Xiaolong Hu

4.6k total citations
211 papers, 3.5k citations indexed

About

Xiaolong Hu is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Xiaolong Hu has authored 211 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Molecular Biology, 32 papers in Immunology and 29 papers in Plant Science. Recurrent topics in Xiaolong Hu's work include Viral Infectious Diseases and Gene Expression in Insects (37 papers), Invertebrate Immune Response Mechanisms (17 papers) and MicroRNA in disease regulation (16 papers). Xiaolong Hu is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (37 papers), Invertebrate Immune Response Mechanisms (17 papers) and MicroRNA in disease regulation (16 papers). Xiaolong Hu collaborates with scholars based in China, India and Canada. Xiaolong Hu's co-authors include Chengliang Gong, Guangli Cao, Renyu Xue, Min Zhu, Zi Liang, Defu Hu, Hao Wang, Dhiraj Kumar, Weihong Meng and Liyuan Zhu and has published in prestigious journals such as Nature, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Xiaolong Hu

198 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolong Hu China 33 1.8k 509 478 444 288 211 3.5k
Haibo Yu China 37 1.0k 0.6× 670 1.3× 548 1.1× 673 1.5× 232 0.8× 166 4.0k
Guang‐Ming Liu China 40 2.2k 1.3× 533 1.0× 441 0.9× 319 0.7× 321 1.1× 266 5.8k
Zhaojie Li China 42 1.7k 0.9× 291 0.6× 581 1.2× 318 0.7× 68 0.2× 219 5.7k
Lin Chen China 38 3.4k 1.9× 382 0.8× 1.7k 3.6× 286 0.6× 249 0.9× 283 6.1k
Gang Zhou China 28 1.3k 0.8× 279 0.5× 670 1.4× 157 0.4× 324 1.1× 129 2.6k
Joshua S. Yuan United States 24 1.6k 0.9× 226 0.4× 1.2k 2.5× 416 0.9× 170 0.6× 45 3.9k
Jie Feng China 42 1.5k 0.8× 345 0.7× 647 1.4× 124 0.3× 348 1.2× 166 4.6k
Ahmed E. Noreldin Egypt 35 609 0.3× 368 0.7× 586 1.2× 274 0.6× 86 0.3× 109 3.2k
Likun Wang China 17 2.5k 1.4× 375 0.7× 1.4k 2.9× 307 0.7× 584 2.0× 51 4.5k
Jesu Arockiaraj India 40 1.8k 1.0× 2.3k 4.4× 438 0.9× 226 0.5× 172 0.6× 348 6.6k

Countries citing papers authored by Xiaolong Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolong Hu. A scholar is included among the top collaborators of Xiaolong Hu 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 Xiaolong Hu. Xiaolong Hu 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.
2.
Zhu, Min, Zhe Liu, Liuyang Li, et al.. (2025). Changes in gene expression levels caused by H3K9me3/H3K9ac modifications are associated with BmCPV infection in Bombyx mori. Virulence. 16(1). 2510535–2510535.
3.
Liu, Shuibing, Hongxia Jiang, Yanan Zhou, et al.. (2025). CircFBLN2 regulates duck myoblast proliferation and differentiation through miR-22-5p and MEF2C interaction. Poultry Science. 104(5). 105063–105063.
4.
Song, Li, et al.. (2024). A novel viral circRNA-13 encoded by GCRV with delaying viral proliferation. Aquaculture. 595. 741569–741569.
5.
Zhang, Xing, Wenwen Zheng, Wenjing Shao, et al.. (2024). Environmental concentrations of microplastic-induced gut microbiota and metabolite disruption in silkworm, Bombyx mori. Chemosphere. 358. 142126–142126. 6 indexed citations
6.
Chen, Liping, Qiao Chu, Chenhui Xu, et al.. (2024). Psychological responses and factors associated with depression and anxiety in entry personnel under quarantine during pandemic in China. Frontiers in Public Health. 12. 1368463–1368463.
7.
Zhang, Xing, et al.. (2024). Viral metagenome analysis uncovers hidden RNA virome diversity in juvenile largemouth bass (Micropterus salmoides). Aquaculture. 595. 741571–741571. 2 indexed citations
8.
Qi, Yanling, Li Song, Liuyang Li, et al.. (2024). Grass Carp Reovirus (GCRV) infection activates the PERK-eIF2α pathway to promote the viral replication. Fish & Shellfish Immunology. 155. 110020–110020. 1 indexed citations
9.
Shen, Wei, Lun Li, Wei Shi, et al.. (2023). Characteristic chromanone acids from Calophyllum membranaceum: Determination of C-3 configuration and anti-inflammatory activity. Phytochemistry. 217. 113902–113902. 2 indexed citations
10.
Dong, Xiaowei, Rong Wang, Yu‐Qing Pan, et al.. (2023). High‐speed counter‐current chromatography assisted preparative isolation of phenolic compounds from the flowers of Chrysanthemum morifolium cv. Fubaiju. Journal of Separation Science. 46(19). e2300172–e2300172. 6 indexed citations
11.
Wang, Rong, Xiaolong Hu, Shumeng Liu, et al.. (2023). Kaempferol‐3‐O‐sophoroside (PCS‐1) contributes to modulation of depressive‐like behaviour in C57BL/6J mice by activating AMPK. British Journal of Pharmacology. 181(8). 1182–1202. 16 indexed citations
12.
Wang, Yakun, Xiaolong Hu, Lijun Wang, et al.. (2023). Data worth analysis within a model-free data assimilation framework for soil moisture flow. Hydrology and earth system sciences. 27(14). 2661–2680. 1 indexed citations
13.
14.
Hu, Xiaolong, et al.. (2023). Rational construction of α-Fe2O3/g-C3N4 heterojunction for effective photo-Fenton-like degradation of tetracycline. Materials Research Bulletin. 168. 112454–112454. 19 indexed citations
15.
Pan, Jun, Dhiraj Kumar, Jian Xu, et al.. (2023). Interaction between Bombyx mori Cytoplasmic Polyhedrosis Virus NSP8 and BmAgo2 Inhibits RNA Interference and Enhances Virus Proliferation. Microbiology Spectrum. 11(4). e0493822–e0493822. 2 indexed citations
16.
Zhang, Xing, Yunshan Zhang, Jun Pan, et al.. (2021). Proteomic analysis of the exosomes secreted from Ctenopharyngodon idellus kidney cells infected with grass carp reovirus reveals their involvement in the cellular responses to viral infection. Fish Physiology and Biochemistry. 47(4). 857–867. 11 indexed citations
17.
Zhu, Min, Xing Zhang, Jun Pan, et al.. (2021). Tight junction protein claudin-2 promotes cell entry of Bombyx mori cypovirus. Applied Microbiology and Biotechnology. 105(14-15). 6019–6031. 5 indexed citations
18.
Zhang, Yunshan, Kun Dai, Zi Liang, et al.. (2020). circEgg regulates histone H3K9me3 by sponging bmo-miR-3391–5p and encoding circEgg-P122 protein in the silkworm, Bombyx mori. Insect Biochemistry and Molecular Biology. 124. 103430–103430. 21 indexed citations
19.
Liang, Zi, Ying Qian, Liyuan Zhu, et al.. (2019). Alternative isoforms of BmYki have different transcriptional co-activator activity in the silkworm, Bombyx mori. The International Journal of Biochemistry & Cell Biology. 116. 105599–105599. 3 indexed citations
20.
Liang, Zi, Ying Qian, Liyuan Zhu, et al.. (2018). Cultured cells and wing disc size of silkworm can be controlled by the Hippo pathway. Open Biology. 8(7). 10 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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