Gaili Wang

503 total citations
30 papers, 371 citations indexed

About

Gaili Wang is a scholar working on Atmospheric Science, Global and Planetary Change and Animal Science and Zoology. According to data from OpenAlex, Gaili Wang has authored 30 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 8 papers in Animal Science and Zoology. Recurrent topics in Gaili Wang's work include Meteorological Phenomena and Simulations (10 papers), Precipitation Measurement and Analysis (9 papers) and Animal Virus Infections Studies (8 papers). Gaili Wang is often cited by papers focused on Meteorological Phenomena and Simulations (10 papers), Precipitation Measurement and Analysis (9 papers) and Animal Virus Infections Studies (8 papers). Gaili Wang collaborates with scholars based in China, United States and India. Gaili Wang's co-authors include Richard de Jeu, Tao Chen, A. J. Dolman, Guido R. van der Werf, Liping Liu, Wenqi He, Kui Zhao, Feng Gao, Shengnan Liu and Huijun Lu and has published in prestigious journals such as Journal of Virology, International Journal of Molecular Sciences and Atmospheric chemistry and physics.

In The Last Decade

Gaili Wang

26 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaili Wang China 11 175 130 43 42 40 30 371
Simone Gruber Brazil 14 147 0.8× 234 1.8× 19 0.4× 56 1.3× 16 0.4× 25 601
Fiona Hamilton United Kingdom 11 165 0.9× 25 0.2× 111 2.6× 44 1.0× 15 0.4× 19 410
Michelle R. Shero United States 11 49 0.3× 84 0.6× 238 5.5× 22 0.5× 69 1.7× 23 336
Véronique Letort France 14 248 1.4× 21 0.2× 41 1.0× 12 0.3× 2 0.1× 47 701
Hugues Santin‐Janin France 10 55 0.3× 24 0.2× 257 6.0× 14 0.3× 21 0.5× 14 346
M. Puigcerver Spain 14 202 1.2× 223 1.7× 142 3.3× 8 0.2× 54 1.4× 30 642
Bryan Nguyen United States 10 44 0.3× 40 0.3× 212 4.9× 33 0.8× 5 0.1× 16 479
Tetsuo Shimada Japan 12 59 0.3× 18 0.1× 268 6.2× 33 0.8× 10 0.3× 55 435
SJ Jeffries United States 13 127 0.7× 43 0.3× 259 6.0× 32 0.8× 8 0.2× 17 554
Elizabeth L. Porzig United States 10 40 0.2× 10 0.1× 146 3.4× 17 0.4× 54 1.4× 14 244

Countries citing papers authored by Gaili Wang

Since Specialization
Citations

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

Fields of papers citing papers by Gaili Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaili Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Gaili Wang. A scholar is included among the top collaborators of Gaili 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 Gaili Wang. Gaili 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.
Li, Ran, et al.. (2025). DSD Characteristics with Different Synoptic Patterns in the Southeastern Tibetan Plateau Region. Advances in Atmospheric Sciences. 42(5). 994–1009.
2.
Gao, Fei, Gaili Wang, Huijun Lu, et al.. (2024). Development and evaluation of inactivated vaccines incorporating a novel Senecavirus A strain-based Immunogen and various adjuvants in mice. Frontiers in Veterinary Science. 11. 1376678–1376678. 1 indexed citations
3.
Wang, Gaili, et al.. (2023). Observed Vertical Structure of Precipitation over the Southeastern Tibetan Plateau in Summer 2021. Journal of Meteorological Research. 37(1). 90–106. 1 indexed citations
4.
5.
Liu, Yuzhu, Deguang Song, Xueli Liu, et al.. (2022). Suppression of porcine hemagglutinating encephalomyelitis virus replication by resveratrol. Virology Journal. 19(1). 226–226. 2 indexed citations
6.
Chen, Qiang, Mingwei Tong, Na Sun, et al.. (2022). Integrated Analysis of miRNA-mRNA Expression in Mink Lung Epithelial Cells Infected With Canine Distemper Virus. Frontiers in Veterinary Science. 9. 897740–897740. 1 indexed citations
7.
He, Wenqi, Xinran Wang, Zhenzhen Wang, et al.. (2022). Antiviral effect of lysosomotropic disaccharide trehalose on porcine hemagglutinating encephalomyelitis virus, a highly neurotropic betacoronavirus. Virology. 577. 131–137. 1 indexed citations
8.
Wang, Zhenzhen, Deguang Song, Gaili Wang, et al.. (2021). Porcine hemagglutinating encephalomyelitis virus induces atypical autophagy via opposite regulation of expression and nuclear translocation of transcription factor EB. Veterinary Microbiology. 255. 109015–109015. 4 indexed citations
9.
Lan, Yungang, Zi Li, Zhenzhen Wang, et al.. (2020). An Experimental Model of Neurodegenerative Disease Based on Porcine Hemagglutinating Encephalomyelitis Virus–Related Lysosomal Abnormalities. Molecular Neurobiology. 57(12). 5299–5306. 12 indexed citations
10.
Li, Zhanqing, et al.. (2019). Evaluation of hygroscopic cloud seeding in liquid-water clouds: a feasibility study. Atmospheric chemistry and physics. 19(23). 14967–14977. 11 indexed citations
11.
Lan, Yungang, Kui Zhao, Xiaoling Lv, et al.. (2014). Gene-expression patterns in the cerebral cortex of mice infected with porcine haemagglutinating encephalomyelitis virus detected using microarray. Journal of General Virology. 95(10). 2192–2203. 13 indexed citations
12.
Wang, Gaili, Wenqi He, Deguang Song, et al.. (2013). In vitro RNA interference targeting the DNA polymerase gene inhibits orf virus replication in primary ovine fetal turbinate cells. Archives of Virology. 159(5). 915–920. 6 indexed citations
13.
Chen, Tao, Guido R. van der Werf, Richard de Jeu, Gaili Wang, & A. J. Dolman. (2013). A global analysis of the impact of drought on net primary productivity. Hydrology and earth system sciences. 17(10). 3885–3894. 121 indexed citations
14.
Lan, Yungang, Kui Zhao, Gaili Wang, et al.. (2013). Porcine hemagglutinating encephalomyelitis virus induces apoptosis in a porcine kidney cell line via caspase-dependent pathways. Virus Research. 176(1-2). 292–297. 17 indexed citations
15.
Liu, Liping, et al.. (2012). Typhoon Detection of Radar Improved Using Ultra Low Elevation Angle. Gaoyuan qixiang. 31(1). 251–257.
16.
Wang, Gaili, et al.. (2011). Processing of Lidar Data in Zhuhai During Summer of 2009 to Detect Atmospheric Boundary Layer Height. 6(6). 409. 1 indexed citations
17.
Lan, Yungang, Kui Zhao, Wenqi He, et al.. (2011). Inhibition of porcine hemagglutinating encephalomyelitis virus replication by short hairpin RNAs targeting of the nucleocapsid gene in a porcine kidney cell line. Journal of Virological Methods. 179(2). 414–418. 5 indexed citations
18.
19.
Zhao, Kui, Wenqi He, Wei Gao, et al.. (2011). Orf virus DNA vaccines expressing ORFV 011 and ORFV 059 chimeric protein enhances immunogenicity. Virology Journal. 8(1). 562–562. 35 indexed citations
20.
Wang, Gaili, et al.. (2010). Storm Identification, Tracking and Nowcasting Techniques Based on the Radar Mosaic Data. Gaoyuan qixiang. 29(6). 1546–1555. 3 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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