Ning Dai

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

About

Ning Dai is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Ning Dai has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Surgery. Recurrent topics in Ning Dai's work include Immune Response and Inflammation (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Medical Image Segmentation Techniques (2 papers). Ning Dai is often cited by papers focused on Immune Response and Inflammation (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Medical Image Segmentation Techniques (2 papers). Ning Dai collaborates with scholars based in China, United States and Singapore. Ning Dai's co-authors include Junjie Mei, G. Scott Worthen, Paula M. Oliver, Jay K. Kolls, Yuhong Liu, Claire E. O’Leary, Jeffrey N. Weiser, Hitesh Deshmukh, Ogechukwu Menkiti and Wuyi Wang and has published in prestigious journals such as Science, Cell and Journal of Clinical Investigation.

In The Last Decade

Ning Dai

27 papers receiving 1.2k citations

Hit Papers

The microbiota regulates neutrophil homeostasis and host ... 2014 2026 2018 2022 2014 100 200 300 400
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. The microbiota regulates neutrophil homeostasis and host resistance to Escherichia coli K1 sepsis in neonatal mice
    2014 425 citations Hitesh Deshmukh, Yuhong Liu et al. Nature Medicine profile →

Peers

Ning Dai
Mingzhu Zhu China
Lucian Albulescu Romania
Shaohua Liu China
Emmanuel Stephen‐Victor France
Mi Na Kim South Korea
Nobuyuki Fujii Japan
Ivica Jeremić Serbia
Maha Abdullah Malaysia
Andrea M. Gross United States
Mingzhu Zhu China
Ning Dai
Citations per year, relative to Ning Dai Ning Dai (= 1×) peers Mingzhu Zhu

Countries citing papers authored by Ning Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ning Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Dai. A scholar is included among the top collaborators of Ning 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 Ning Dai. Ning 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.
Li, Hongyi, et al.. (2025). Runoff contribution of spring snowmelt in the source region of the Yangtze River and its variation characteristics. Journal of Hydrology Regional Studies. 58. 102295–102295.
2.
Zhou, Tingting, et al.. (2025). Therapeutic hypothermia for neonates: a bibliometric analysis and visualization research. Frontiers in Neurology. 16. 1565749–1565749.
3.
Dai, Ning, Jody Groenendyk, & Marek Michalak. (2024). Interplay between myotubularins and Ca2+ homeostasis. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(5). 119739–119739.
4.
5.
Lin, Juan, Chenxia Han, Ning Dai, et al.. (2023). Effectiveness of Chengqi-series decoctions in treating severe acute pancreatitis: A Systematic review and meta-analysis. Phytomedicine. 113. 154727–154727. 8 indexed citations
6.
Guo, Chuang, et al.. (2020). Morphological design of missing tooth driven by high-resolution deep generation network. Journal of Image and Graphics. 25(10). 2249–2258. 2 indexed citations
7.
Wang, Xuejiao, et al.. (2020). The significance of arginase-1 expression in the diagnosis of liver cancer. Medicine. 99(9). e19159–e19159. 1 indexed citations
8.
Dai, Ning, et al.. (2020). Identifying Key Classes Algorithm in Directed Weighted Class Interaction Network Based on the Structure Entropy Weighted LeaderRank. Mathematical Problems in Engineering. 2020. 1–12. 3 indexed citations
9.
Regué, Laura, Fei Ji, Daniel Flicker, et al.. (2019). IMP2 increases mouse skeletal muscle mass and voluntary activity by enhancing autocrine IGF2 production and optimizing muscle metabolism.. Molecular and Cellular Biology. 3 indexed citations
10.
Xiang, Dongxi, Ben Liu, Aina He, et al.. (2019). Inadequate DNA Damage Repair Promotes Mammary Transdifferentiation, Leading to BRCA1 Breast Cancer. Cell. 178(1). 135–151.e19. 67 indexed citations
11.
Paris, Andrew J., Yuhong Liu, Junjie Mei, et al.. (2016). Neutrophils promote alveolar epithelial regeneration by enhancing type II pneumocyte proliferation in a model of acid-induced acute lung injury. American Journal of Physiology-Lung Cellular and Molecular Physiology. 311(6). L1062–L1075. 49 indexed citations
12.
Liu, Yuhong, Claire E. O’Leary, Liang‐Chuan S. Wang, et al.. (2015). CD11b+Ly6G+ cells inhibit tumor growth by suppressing IL-17 production at early stages of tumorigenesis. OncoImmunology. 5(1). e1061175–e1061175. 32 indexed citations
13.
Dai, Ning, et al.. (2015). Ab initio study of the low‐pressure phases of TiO. physica status solidi (b). 252(4). 659–662. 9 indexed citations
14.
Xu, Tongda, Ning Dai, Jisheng Chen, et al.. (2014). Cell Surface ABP1-TMK Auxin-Sensing Complex Activates ROP GTPase Signaling. Science. 343(6174). 1025–1028. 248 indexed citations
15.
Deshmukh, Hitesh, Yuhong Liu, Ogechukwu Menkiti, et al.. (2014). The microbiota regulates neutrophil homeostasis and host resistance to Escherichia coli K1 sepsis in neonatal mice. Nature Medicine. 20(5). 524–530. 425 indexed citations breakdown →
16.
Dai, Ning, Wuyi Wang, Sara E. Patterson, & Anthony B. Bleecker. (2013). The TMK Subfamily of Receptor-Like Kinases in Arabidopsis Display an Essential Role in Growth and a Reduced Sensitivity to Auxin. PLoS ONE. 8(4). e60990–e60990. 85 indexed citations
17.
Mei, Junjie, M. Anna Kowalska, Ning Dai, et al.. (2013). Platelet CXCL7 and CXCL4 inhibit chemokine scavenging and improve innate immunity to bacterial infection (P1317). The Journal of Immunology. 190(Supplement_1). 63.14–63.14. 2 indexed citations
18.
Mei, Junjie, Yuhong Liu, Ning Dai, et al.. (2012). Cxcr2 and Cxcl5 regulate the IL-17/G-CSF axis and neutrophil homeostasis in mice. Journal of Clinical Investigation. 122(3). 974–986. 161 indexed citations
19.
Hudock, Kristin, et al.. (2012). Delayed Resolution of Lung Inflammation in Il   -1rn − / − Mice Reflects Elevated IL-17A/Granulocyte Colony–Stimulating Factor Expression. American Journal of Respiratory Cell and Molecular Biology. 47(4). 436–444. 17 indexed citations
20.
Mu, Hui, et al.. (2009). Toxicity of [C8mim]PF6 to aquatic organisms.. China Environmental Science. 29(11). 1196–1201. 7 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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