Shunhe Wang

1.1k total citations
31 papers, 762 citations indexed

About

Shunhe Wang is a scholar working on Molecular Biology, Nutrition and Dietetics and Food Science. According to data from OpenAlex, Shunhe Wang has authored 31 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Nutrition and Dietetics and 6 papers in Food Science. Recurrent topics in Shunhe Wang's work include Gut microbiota and health (8 papers), Fatty Acid Research and Health (5 papers) and Probiotics and Fermented Foods (5 papers). Shunhe Wang is often cited by papers focused on Gut microbiota and health (8 papers), Fatty Acid Research and Health (5 papers) and Probiotics and Fermented Foods (5 papers). Shunhe Wang collaborates with scholars based in China, United States and Australia. Shunhe Wang's co-authors include Wei Chen, Hao Zhang, Claude C.A. Bernard, Zhennan Gu, Yong Q. Chen, Fengwei Tian, Jianxin Zhao, Qixiao Zhai, Leilei Yu and Haiqin Chen and has published in prestigious journals such as The Journal of Immunology, Journal of the American College of Cardiology and Cell Host & Microbe.

In The Last Decade

Shunhe Wang

29 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shunhe Wang China 15 385 108 101 101 92 31 762
Yongjin Lee South Korea 18 434 1.1× 130 1.2× 111 1.1× 85 0.8× 32 0.3× 61 959
Maizaton Atmadini Abdullah Malaysia 14 285 0.7× 106 1.0× 89 0.9× 48 0.5× 40 0.4× 36 662
Jiahui Li China 20 363 0.9× 133 1.2× 67 0.7× 72 0.7× 70 0.8× 55 976
Yukari Suzuki Japan 12 329 0.9× 57 0.5× 61 0.6× 76 0.8× 52 0.6× 42 820
Khaled Alhosaini Saudi Arabia 16 278 0.7× 130 1.2× 57 0.6× 41 0.4× 62 0.7× 44 794
Gareth Marlow New Zealand 14 552 1.4× 83 0.8× 138 1.4× 61 0.6× 90 1.0× 30 967

Countries citing papers authored by Shunhe Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shunhe Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunhe Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shunhe Wang. A scholar is included among the top collaborators of Shunhe 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 Shunhe Wang. Shunhe 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.
Sun, Peiyu, Shunhe Wang, Ling Hu, Yuanding Huang, & Yaping Wang. (2025). Ginsenoside Rg1 Promotes the Survival, Proliferation, and Differentiation of Senescent Neural Stem Cells Induced by D-galactose. Actas Españolas de Psiquiatría. 53(1). 49–61.
2.
Wang, Shunhe, Lulu Li, Fengwei Tian, et al.. (2024). Natural aggregation of Lactobacillus: Mechanisms and influencing factors. Food Bioscience. 62. 105007–105007. 8 indexed citations
3.
Zhang, Chengcheng, Leilei Yu, Chenchen Ma, et al.. (2023). A key genetic factor governing arabinan utilization in the gut microbiome alleviates constipation. Cell Host & Microbe. 31(12). 1989–2006.e8. 46 indexed citations
4.
Jiang, Shuaiming, Chengcheng Zhang, Zhe Han, et al.. (2023). Native microbiome dominates over host factors in shaping the probiotic genetic evolution in the gut. npj Biofilms and Microbiomes. 9(1). 80–80. 9 indexed citations
5.
Chen, Feng, Leilei Yu, Shunhe Wang, et al.. (2023). Lactiplantibacillus plantarum CCFM8661 alleviates d-galactose-induced brain aging in mice by the regulation of the gut microbiota. Food & Function. 14(22). 10135–10150. 11 indexed citations
6.
Yu, Leilei, Yaru Liu, Shunhe Wang, et al.. (2023). Cholestasis: exploring the triangular relationship of gut microbiota-bile acid-cholestasis and the potential probiotic strategies. Gut Microbes. 15(1). 2181930–2181930. 36 indexed citations
7.
Zhai, Qixiao, Chuanqi Chu, Shunhe Wang, et al.. (2023). Combined Ganoderma lucidum polysaccharide and ciprofloxacin therapy alleviates Salmonella enterica infection, protects the intestinal barrier, and regulates gut microbiota. Food & Function. 14(15). 6896–6913. 26 indexed citations
8.
Feng, Saisai, Shunhe Wang, Dingwu Qu, et al.. (2022). Species- or genus-dependent immunostimulatory effects of gut-derived potential probiotics. Journal of genetics and genomics. 50(10). 786–794. 4 indexed citations
9.
Li, Tiantian, Chuanqi Chu, Leilei Yu, et al.. (2022). Neuroprotective Effects of Bifidobacterium breve CCFM1067 in MPTP-Induced Mouse Models of Parkinson’s Disease. Nutrients. 14(21). 4678–4678. 57 indexed citations
10.
Chen, Qian, Botao Wang, Shunhe Wang, et al.. (2021). Modulation of the Gut Microbiota Structure with Probiotics and Isoflavone Alleviates Metabolic Disorder in Ovariectomized Mice. Nutrients. 13(6). 1793–1793. 36 indexed citations
11.
Zhu, Shenglong, Ninghan Feng, Xuan Jiang, et al.. (2018). Metabolic Shift Induced by ω -3 PUFAs and Rapamycin Lead to Cancer Cell Death. Cellular Physiology and Biochemistry. 48(6). 2318–2336. 14 indexed citations
12.
Yao, Hui, et al.. (2018). Effect of Angelica polysaccharide on brain senescence of Nestin-GFP mice induced by D-galactose. Neurochemistry International. 122. 149–156. 49 indexed citations
13.
Yang, Qin, Shunhe Wang, Haiqin Chen, et al.. (2017). Dietary intake of n-3 PUFAs modifies the absorption, distribution and bioavailability of fatty acids in the mouse gastrointestinal tract. Lipids in Health and Disease. 16(1). 10–10. 31 indexed citations
14.
Li, Jinɡjinɡ, Zhennan Gu, Yong Pan, et al.. (2017). Dietary supplementation of α-linolenic acid induced conversion of n-3 LCPUFAs and reduced prostate cancer growth in a mouse model. Lipids in Health and Disease. 16(1). 136–136. 35 indexed citations
15.
Yao, Hui, Linbo Chen, Xiongbin Chen, et al.. (2016). Anti-aging effects of angelica sinensis polysaccharides on brain aging induced by D-galactose in Nestin-green fluorescent protein transgenic mice and its mechanism. 47(6). 731–737. 2 indexed citations
16.
Yang, Qin, Rui Tao, Shunhe Wang, et al.. (2016). Analysis of Fatty Acids and Amino Acids in Scorpion by Gas Chromatography Mass Spectrometry. 16(10). 182.
17.
Wang, Qifeng, Gang Yang, Yonghong Jiang, et al.. (2013). Noninvasive Renal Sympathetic Denervation by Extracorporeal High-Intensity Focused Ultrasound in a Pre-Clinical Canine Model. Journal of the American College of Cardiology. 61(21). 2185–2192. 46 indexed citations
18.
Zhang, Zhiwei, et al.. (2012). MR imaging features of secondary breast lymphoma in a male patient: a case report and literature review. The Chinese-German Journal of Clinical Oncology. 11(6). 361–364. 1 indexed citations
19.
20.
Chan, James, Shunhe Wang, B. Thomas Bäckström, et al.. (2008). Transplantation of Bone Marrow Transduced to Express Self-Antigen Establishes Deletional Tolerance and Permanently Remits Autoimmune Disease. The Journal of Immunology. 181(11). 7571–7580. 47 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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