Xiaoling Dai

1.0k total citations
51 papers, 753 citations indexed

About

Xiaoling Dai is a scholar working on Immunology, Microbiology and Molecular Biology. According to data from OpenAlex, Xiaoling Dai has authored 51 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 9 papers in Microbiology and 7 papers in Molecular Biology. Recurrent topics in Xiaoling Dai's work include Invertebrate Immune Response Mechanisms (26 papers), Aquaculture disease management and microbiota (21 papers) and Antimicrobial Peptides and Activities (9 papers). Xiaoling Dai is often cited by papers focused on Invertebrate Immune Response Mechanisms (26 papers), Aquaculture disease management and microbiota (21 papers) and Antimicrobial Peptides and Activities (9 papers). Xiaoling Dai collaborates with scholars based in China, United States and United Kingdom. Xiaoling Dai's co-authors include James J. Galligan, Han Wang, David L. Kreulen, Xingyi Wu, Xin Nie, Jinglan Wu, Qian Ren, Gregory D. Fink, Bhavik Anil Patel and Greg M. Swain and has published in prestigious journals such as Gastroenterology, Oncogene and Hypertension.

In The Last Decade

Xiaoling Dai

43 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoling Dai China 15 158 148 141 119 69 51 753
Yuemei Feng China 16 98 0.6× 64 0.4× 215 1.5× 163 1.4× 25 0.4× 46 905
Yimin Liu China 14 36 0.2× 70 0.5× 194 1.4× 211 1.8× 67 1.0× 53 1.1k
Makoto Kinoshita Japan 22 319 2.0× 205 1.4× 726 5.1× 117 1.0× 19 0.3× 63 1.8k
Qin Hui United States 17 91 0.6× 73 0.5× 344 2.4× 28 0.2× 70 1.0× 52 729
Jean‐Marc Theler Switzerland 17 117 0.7× 153 1.0× 325 2.3× 39 0.3× 28 0.4× 30 1.1k
Margaret Wang United States 13 102 0.6× 179 1.2× 186 1.3× 216 1.8× 9 0.1× 28 946
Meghan E. Rebuli United States 20 98 0.6× 544 3.7× 167 1.2× 694 5.8× 23 0.3× 54 1.5k
Ashutosh Kumar India 15 48 0.3× 35 0.2× 122 0.9× 51 0.4× 22 0.3× 71 883
T Shimizu Japan 13 86 0.5× 67 0.5× 112 0.8× 487 4.1× 18 0.3× 31 1.1k

Countries citing papers authored by Xiaoling Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Dai. A scholar is included among the top collaborators of Xiaoling Dai 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 Xiaoling Dai. Xiaoling Dai 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.
Tong, Tongyu, Hanqi Lei, Zheng Yang, et al.. (2025). HOMER3 orchestrates SRC-YAP1 activity that promotes tumor cell growth and antagonizes anti-tumor immunotherapy in prostate cancer. Oncogene. 44(41). 3895–3908.
2.
Liu, Xiaohan, Hao Li, Xiaoling Dai, et al.. (2024). Identification of a FOXO gene and its roles in anti-WSSV infection through regulation of Dicers and Argos in Macrobrachium nipponense. Fish & Shellfish Immunology. 154. 109908–109908.
3.
4.
Dai, Xiaoling, et al.. (2023). FOXO is involved in antimicrobial peptides expression during WSSV infection in Exopalaemon carinicauda. Fish & Shellfish Immunology. 144. 109286–109286. 4 indexed citations
5.
6.
Jia, Rui, Xiaoling Dai, Yanfang Li, et al.. (2023). Duox mediated ROS production inhibited WSSV replication in Eriocheir sinensis under short-term nitrite stress. Aquatic Toxicology. 260. 106575–106575. 6 indexed citations
7.
Si, Qin, et al.. (2023). Diversity of MrTolls and their regulation of antimicrobial peptides expression during Enterobacter cloacae infection in Macrobrachium rosenbergii. Fish & Shellfish Immunology. 144. 109279–109279. 2 indexed citations
8.
Guo, Qi, Weifeng Shen, Mingming Han, et al.. (2023). Comparative analysis of whole-transcriptome RNA expression of lung tissue of Chinese soft-shell turtle infected by Trionyx sinensis Hemorrhagic Syndrome Virus. Fish & Shellfish Immunology. 144. 109236–109236. 3 indexed citations
9.
Dai, Xiaoling, Zhiqiang Xu, Rui Jia, et al.. (2023). Lectin diversity and their positive roles in WSSV replication through regulation of calreticulin expression and inhibiting ALFs expression. International Journal of Biological Macromolecules. 258(Pt 2). 128996–128996. 3 indexed citations
10.
11.
Huang, Ying, Xin Huang, Xuming Zhou, et al.. (2020). Immune activation by a multigene family of lectins with variable tandem repeats in oriental river prawn ( Macrobrachium nipponense ). Open Biology. 10(9). 9 indexed citations
12.
Huang, Xin, Ruidong Zhang, Xiaoling Dai, et al.. (2020). Identification of a dorsal transcription factor (MnDorsal) from Macrobrachium nipponense and its role in innate immunity. Molecular Immunology. 126. 1–7. 6 indexed citations
13.
Wang, Kaiqiang, Xiaoling Dai, Chao Zhang, et al.. (2020). Two Wnt genes regulate the expression levels of antimicrobial peptides during Vibrio infection in Macrobrachium nipponense. Fish & Shellfish Immunology. 101. 225–233. 8 indexed citations
14.
Huang, Xin, et al.. (2020). Taiman negatively regulates the expression of antimicrobial peptides by promoting the transcription of cactus in Macrobrachium nipponense. Fish & Shellfish Immunology. 105. 152–163. 1 indexed citations
15.
Dai, Xiaoling, Ruidong Zhang, Xueying Cao, et al.. (2019). Identification of two LGBPs (isoform1 and isoform2) and their function in AMP expression and PO activation in male hepatopancreas. Fish & Shellfish Immunology. 95. 624–634. 11 indexed citations
16.
Xiao, Yingping, Xiaoling Dai, Kunyang Li, et al.. (2017). Clostridium butyricum partially regulates the development of colitis-associated cancer through miR-200c. Cellular and Molecular Biology. 63(4). 59–59. 33 indexed citations
17.
Dai, Xiaoling, et al.. (2010). The Attitude Toward Living Liver Donation Among the Hospital Personnel in a Northeast China Center With a Liver Transplant Program. Transplantation Proceedings. 42(5). 1460–1465. 9 indexed citations
18.
Li, Melissa, Xiaoling Dai, Stephanie W. Watts, David L. Kreulen, & Gregory D. Fink. (2008). Increased superoxide levels in ganglia and sympathoexcitation are involved in sarafotoxin 6c-induced hypertension. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 295(5). R1546–R1554. 7 indexed citations
19.
Dai, Xiaoling, Xian Cao, & David L. Kreulen. (2005). Superoxide anion is elevated in sympathetic neurons in DOCA-salt hypertension via activation of NADPH oxidase. American Journal of Physiology-Heart and Circulatory Physiology. 290(3). H1019–H1026. 29 indexed citations
20.
Luo, Min, Gregory D. Fink, L. Karl Olson, et al.. (2003). Differential alterations in sympathetic neurotransmission in mesenteric arteries and veins in DOCA-salt hypertensive rats. Autonomic Neuroscience. 104(1). 47–57. 42 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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