Nian Wang

2.6k total citations
89 papers, 1.7k citations indexed

About

Nian Wang is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Nian Wang has authored 89 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 24 papers in Epidemiology and 15 papers in Immunology. Recurrent topics in Nian Wang's work include Advanced Neuroimaging Techniques and Applications (8 papers), Autophagy in Disease and Therapy (8 papers) and Inflammasome and immune disorders (7 papers). Nian Wang is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (8 papers), Autophagy in Disease and Therapy (8 papers) and Inflammasome and immune disorders (7 papers). Nian Wang collaborates with scholars based in China, United States and Canada. Nian Wang's co-authors include Huali Zhang, Kangkai Wang, Xianzhong Xiao, Jiang Zou, Daolin Tang, Rui Kang, Runliu Wu, Meidong Liu, Hao Wang and Ke Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Nian Wang

82 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nian Wang China 22 678 363 305 236 206 89 1.7k
Peng Yan China 21 433 0.6× 488 1.3× 280 0.9× 146 0.6× 258 1.3× 70 1.5k
Leah Hennings United States 26 585 0.9× 359 1.0× 189 0.6× 154 0.7× 122 0.6× 74 1.9k
Jiantao Wang China 22 496 0.7× 187 0.5× 114 0.4× 207 0.9× 141 0.7× 102 1.8k
Ren-qi Yao China 23 673 1.0× 619 1.7× 353 1.2× 204 0.9× 279 1.4× 76 1.8k
Weiming Yan China 26 719 1.1× 680 1.9× 492 1.6× 176 0.7× 149 0.7× 112 2.2k
Wei‐Ting Chang Taiwan 23 579 0.9× 211 0.6× 139 0.5× 101 0.4× 262 1.3× 155 1.9k
Xiuyan Yang China 29 970 1.4× 253 0.7× 471 1.5× 324 1.4× 161 0.8× 133 2.7k
Fei Wu China 24 1.0k 1.5× 138 0.4× 209 0.7× 466 2.0× 214 1.0× 147 2.0k
Dong Zhou China 25 662 1.0× 247 0.7× 261 0.9× 280 1.2× 540 2.6× 112 2.0k

Countries citing papers authored by Nian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Nian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Nian Wang. A scholar is included among the top collaborators of Nian Wang 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 Nian Wang. Nian Wang 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.
Wang, Nian, Jiao Liu, Runliu Wu, et al.. (2025). A neuroimmune pathway drives bacterial infection. Science Advances. 11(18). eadr2226–eadr2226. 3 indexed citations
2.
Wang, Nian, Jiao Liu, Runliu Wu, et al.. (2025). A non-canonical immunometabolic function of BRD3 during sepsis. Developmental Cell. 61(2). 322–339.e6.
3.
Al-Amin, Md. Mamun, Byung-Wook Kim, Shweta S. Puntambekar, et al.. (2025). Apolipoprotein ε4 exacerbates white matter impairment in a mouse model of Aβ amyloidosis by decreasing actively myelinating oligodendrocytes. Alzheimer s & Dementia. 21(10). e70791–e70791.
4.
Ma, Jingjing, Chen Chen, Nian Wang, et al.. (2025). Identification of Senescence-Related Genes for the Prediction of Ulcerative Colitis Based on Interpretable Machine Learning Models. Journal of Inflammation Research. Volume 18. 3431–3447. 1 indexed citations
5.
Yang, Qiushi, et al.. (2024). Pleural parasite infection presenting with an isolated pleural effusion misdiagnosed as tuberculosis: a case report. Diagnostic Microbiology and Infectious Disease. 110(4). 116515–116515.
6.
Song, Qixiang, et al.. (2024). Z-nucleic acid sensor ZBP1 in sterile inflammation. Clinical Immunology. 261. 109938–109938. 7 indexed citations
7.
Wang, Nian, et al.. (2024). 3D Volumetric Super-Resolution in Radiology using 3D RRDB-GAN. 1–5. 2 indexed citations
8.
Song, Qixiang, Yuhang Fan, Huali Zhang, & Nian Wang. (2024). Z-DNA binding protein 1 orchestrates innate immunity and inflammatory cell death. Cytokine & Growth Factor Reviews. 77. 15–29. 21 indexed citations
9.
Liu, Song, Jiayao Yang, Yi Liu, et al.. (2023). Rhein Exhibits Anti-Inflammatory Effects in Chronic Atrophic Gastritis via Nrf2 and MAPK Signaling. The Turkish Journal of Gastroenterology. 34(5). 525–532. 17 indexed citations
10.
Song, Zimin, Xiaoxue Ren, Nian Wang, et al.. (2023). Hepatitis B virus-related intrahepatic cholangiocarcinoma originates from hepatocytes. Hepatology International. 17(5). 1300–1317. 10 indexed citations
11.
Wang, Nian, et al.. (2022). Using Machine Learning to Predict the Requirement for Revascularization in Patients with Chest Pain in the Emergency Department. Journal of Healthcare Engineering. 2022. 1–7. 2 indexed citations
12.
Wu, Runliu, Jiao Liu, Nian Wang, et al.. (2022). Aconitate decarboxylase 1 is a mediator of polymicrobial sepsis. Science Translational Medicine. 14(659). eabo2028–eabo2028. 47 indexed citations
13.
Zhao, Qi, et al.. (2022). Tractography of Porcine Meniscus Microstructure Using High-Resolution Diffusion Magnetic Resonance Imaging. Frontiers in Endocrinology. 13. 876784–876784. 6 indexed citations
14.
Zhou, Wenjing, Lijuan Wu, Jiajia Song, et al.. (2021). A case-control study on correlation between the single nucleotide polymorphism of CLEC4E and the susceptibility to tuberculosis among Han people in Western China. BMC Infectious Diseases. 21(1). 788–788. 1 indexed citations
15.
Wu, Runliu, Feng Chen, Nian Wang, Daolin Tang, & Rui Kang. (2020). ACOD1 in immunometabolism and disease. Cellular and Molecular Immunology. 17(8). 822–833. 122 indexed citations
16.
Wang, Nian, et al.. (2020). The safety of first and subsequent lines of PD-1/PD-L1 inhibitors monotherapy in non-small cell lung cancer patients: a meta-analysis. Translational Cancer Research. 9(5). 3231–3241. 4 indexed citations
17.
Wang, Nian, Dandan He, Yang Tian, et al.. (2019). Intestinal mucosal metabolites-guided detection of trace-level ginkgo biloba extract metabolome. Journal of Chromatography A. 1608. 460417–460417. 8 indexed citations
18.
Yu, Jixu, et al.. (2019). Recent advance in protective mechanism of regulatory T cells in secondary injury of intracerebral hemorrhage. Chinese Journal of Neuromedicine. 18(5). 501–506. 1 indexed citations
19.
Cui, Xiaoyu, Nian Wang, Yue Zhao, et al.. (2019). Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Radiomics Features of DCE-MRI. Scientific Reports. 9(1). 2240–2240. 68 indexed citations
20.
Jiang, Yu, Min Gao, Wenmei Wang, et al.. (2016). Interleukin-1 Receptor 2. Shock. 47(1). 119–124. 29 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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