Hualin Wang

980 total citations
48 papers, 767 citations indexed

About

Hualin Wang is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Hualin Wang has authored 48 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Epidemiology and 11 papers in Physiology. Recurrent topics in Hualin Wang's work include Liver Disease Diagnosis and Treatment (9 papers), Diet, Metabolism, and Disease (9 papers) and Diet and metabolism studies (8 papers). Hualin Wang is often cited by papers focused on Liver Disease Diagnosis and Treatment (9 papers), Diet, Metabolism, and Disease (9 papers) and Diet and metabolism studies (8 papers). Hualin Wang collaborates with scholars based in China, Hong Kong and United States. Hualin Wang's co-authors include Zhiguo Liu, Jennifer Man‐Fan Wan, Hongyu Zhang, Fahu Yuan, Yu Tian, Lei He, Na Li, Wai‐Hung Sit, Qi Li and Yang Shao and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Hypertension.

In The Last Decade

Hualin Wang

48 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hualin Wang China 20 257 153 152 118 107 48 767
Benjamin H. Maskrey United Kingdom 20 436 1.7× 80 0.5× 125 0.8× 222 1.9× 114 1.1× 41 1.3k
Mohammed El Hafidi Mexico 21 444 1.7× 122 0.8× 282 1.9× 134 1.1× 60 0.6× 36 1.2k
Margarita Díaz-Flores Mexico 18 248 1.0× 73 0.5× 131 0.9× 69 0.6× 79 0.7× 37 754
Cheng‐Chieh Yen Taiwan 19 305 1.2× 83 0.5× 115 0.8× 181 1.5× 119 1.1× 37 1.1k
Deming Li China 18 220 0.9× 202 1.3× 121 0.8× 95 0.8× 69 0.6× 46 764
Junji Kuroda Japan 15 254 1.0× 190 1.2× 77 0.5× 58 0.5× 86 0.8× 39 718
Yu. I. Ragino Russia 11 156 0.6× 136 0.9× 88 0.6× 83 0.7× 119 1.1× 164 668
Tovit Rosenzweig Israel 16 245 1.0× 119 0.8× 136 0.9× 44 0.4× 105 1.0× 39 645
Vijay R. More United States 14 304 1.2× 233 1.5× 122 0.8× 44 0.4× 83 0.8× 19 740

Countries citing papers authored by Hualin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hualin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hualin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hualin Wang. A scholar is included among the top collaborators of Hualin 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 Hualin Wang. Hualin 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.
Weiskirchen, Ralf, et al.. (2025). A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes. Frontiers in Nutrition. 11. 1520779–1520779. 1 indexed citations
2.
Wu, Di, Wanchao Chen, Wen Li, et al.. (2023). Aqueous extract of Sanghuangporus baumii induces autophagy to inhibit cervical carcinoma growth. Food & Function. 14(5). 2374–2384. 7 indexed citations
3.
Li, Yang, Xuefang Li, Ye Zhang, et al.. (2023). Development of a new cellular immunological detection method for tuberculosis based on HupB protein induced IL-6 release test. Frontiers in Microbiology. 14. 1148503–1148503. 1 indexed citations
4.
Wang, Hu, et al.. (2022). Per1/Per2 Disruption Reduces Testosterone Synthesis and Impairs Fertility in Elderly Male Mice. International Journal of Molecular Sciences. 23(13). 7399–7399. 14 indexed citations
5.
Zhang, Zhe, Shijie Zhang, Yu Tian, et al.. (2022). Effects of deep frying vegetable oils rich in PUFAs on gut microbiota in rats. International Journal of Food Science & Technology. 58(1). 37–44. 6 indexed citations
6.
Wang, Jian, Zhuoyan Li, Yujiao Ye, et al.. (2021). Growth patterns in early childhood and cardiovascular structure and function at 4 years old: A prospective cohort study. Nutrition Metabolism and Cardiovascular Diseases. 31(12). 3492–3501. 9 indexed citations
7.
Zhang, Shijie, et al.. (2020). Chronic consumption of thermally processed palm oil or canola oil modified gut microflora of rats. Food Science and Human Wellness. 10(1). 94–102. 15 indexed citations
8.
9.
Pu, Yang, Hualin Wang, Qiang Huang, et al.. (2020). N-3 PUFAs inhibited hepatic ER stress induced by feeding of a high-saturated fat diet accompanied by the expression LOX-1. The Journal of Nutritional Biochemistry. 88. 108481–108481. 14 indexed citations
11.
Chen, Si, Hualin Wang, Yang Liu, et al.. (2019). ω‐3 PUFAs Alleviate High‐Fat Diet–Induced Circadian Intestinal Microbes Dysbiosis. Molecular Nutrition & Food Research. 63(22). e1900492–e1900492. 24 indexed citations
12.
Wang, Hualin, Nadim Farés, Jérémy Augustin, et al.. (2019). Alteration of splicing factors’ expression during liver disease progression: impact on hepatocellular carcinoma outcome. Hepatology International. 13(4). 454–467. 23 indexed citations
13.
Zhang, Shijie, Jennifer Man‐Fan Wan, Na Li, et al.. (2018). Polysaccharides extracted from Phellinus linteus ameliorate high-fat high-fructose diet induced insulin resistance in mice. Carbohydrate Polymers. 200. 144–153. 63 indexed citations
14.
Wang, Hualin, et al.. (2018). Fish Oil Ameliorates High-Fat Diet Induced Male Mouse Reproductive Dysfunction via Modifying the Rhythmic Expression of Testosterone Synthesis Related Genes. International Journal of Molecular Sciences. 19(5). 1325–1325. 35 indexed citations
15.
Wang, Hualin, Fahu Yuan, Na Li, et al.. (2017). Fish Oil Feeding Modulates the Expression of Hepatic MicroRNAs in a Western-Style Diet-Induced Nonalcoholic Fatty Liver Disease Rat Model. BioMed Research International. 2017. 1–11. 18 indexed citations
16.
Yuan, Fahu, Hualin Wang, Yu Tian, et al.. (2016). Perilla Oil Supplementation Ameliorates High-Fat/High-Cholesterol Diet Induced Nonalcoholic Fatty Liver Disease in Rats via Enhanced Fecal Cholesterol and Bile Acid Excretion. BioMed Research International. 2016. 1–10. 22 indexed citations
17.
Yuan, Fahu, Hualin Wang, Yu Tian, et al.. (2016). Fish oil alleviated high-fat diet–induced non-alcoholic fatty liver disease via regulating hepatic lipids metabolism and metaflammation: a transcriptomic study. Lipids in Health and Disease. 15(1). 20–20. 71 indexed citations
18.
Wang, Hualin, et al.. (2015). Comparative proteomic analysis of fibrotic liver of rats fed high fat diet contained lard versus corn oil. Clinical Nutrition. 36(1). 198–208. 6 indexed citations
19.
Feng, Rui, et al.. (2009). The Application of Electrical Resistivity Tomography to Detecting a Buried Fault: A Case Study. Journal of Environmental and Engineering Geophysics. 14(3). 145–151. 24 indexed citations
20.
Wang, Shu, et al.. (2005). Construction of a Recombinant HaSNPV Expressing GP64. Virologica Sinica. 20(1). 79–83. 1 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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