Xingya Wang

2.3k total citations · 2 hit papers
44 papers, 1.9k citations indexed

About

Xingya Wang is a scholar working on Molecular Biology, Pharmacology and Rheumatology. According to data from OpenAlex, Xingya Wang has authored 44 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Pharmacology and 15 papers in Rheumatology. Recurrent topics in Xingya Wang's work include GDF15 and Related Biomarkers (15 papers), Fungal Biology and Applications (10 papers) and Nutrition and Health in Aging (8 papers). Xingya Wang is often cited by papers focused on GDF15 and Related Biomarkers (15 papers), Fungal Biology and Applications (10 papers) and Nutrition and Health in Aging (8 papers). Xingya Wang collaborates with scholars based in China, United States and Italy. Xingya Wang's co-authors include Thomas E. Eling, Tingting Sang, Jiajun Chen, Chaojie Chen, Dandan Guo, Chengjie Guo, Cuiling Guo, Liu Fang, Seung Joon Baek and Kaikai Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cell Metabolism and Cancer Research.

In The Last Decade

Xingya Wang

39 papers receiving 1.9k citations

Hit Papers

Ganoderma lucidum polysaccharide modulates gut microbiota... 2021 2026 2022 2024 2021 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingya Wang China 23 872 496 373 307 257 44 1.9k
Woong Mo Yang South Korea 33 1.3k 1.5× 409 0.8× 265 0.7× 64 0.2× 347 1.4× 131 3.1k
Shu‐Huei Tsai Taiwan 19 822 0.9× 252 0.5× 178 0.5× 156 0.5× 105 0.4× 28 1.7k
Young‐Rae Lee South Korea 27 1.0k 1.2× 247 0.5× 128 0.3× 108 0.4× 215 0.8× 81 2.1k
Shu Jiang China 28 1.5k 1.7× 219 0.4× 256 0.7× 78 0.3× 358 1.4× 87 2.7k
Hyun Lim South Korea 24 870 1.0× 402 0.8× 152 0.4× 99 0.3× 307 1.2× 54 1.7k
Jeongmin Lee South Korea 22 948 1.1× 200 0.4× 241 0.6× 58 0.2× 226 0.9× 145 2.0k
Yuan‐Yen Chang Taiwan 29 746 0.9× 174 0.4× 195 0.5× 70 0.2× 186 0.7× 81 2.0k
Isabel Ballester Spain 15 908 1.0× 204 0.4× 240 0.6× 55 0.2× 350 1.4× 20 2.3k
Hyo Won Jung South Korea 27 718 0.8× 188 0.4× 281 0.8× 65 0.2× 252 1.0× 83 1.8k
Mari Maeda‐Yamamoto Japan 36 1.1k 1.2× 189 0.4× 500 1.3× 255 0.8× 269 1.0× 127 4.2k

Countries citing papers authored by Xingya Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xingya Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingya Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xingya Wang. A scholar is included among the top collaborators of Xingya 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 Xingya Wang. Xingya 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.
Lin, Xiaojian, Dongjie Chen, Shengjia Chen, et al.. (2025). UPLC-Q-TOF/MS-based study on chemical composition, in vivo metabolites, and tissue distribution of ethanol extract of Ganoderma lucidum. Journal of Pharmaceutical and Biomedical Analysis. 263. 116886–116886. 2 indexed citations
2.
3.
Zhou, Hongyu, Qi Cheng, Wen Wang, et al.. (2024). Metformin inhibits migration and epithelial-to-mesenchymal transition in non-small cell lung cancer cells through AMPK-mediated GDF15 induction. European Journal of Pharmacology. 985. 177127–177127.
4.
Wang, Ying, Shengjia Chen, Jiajun Chen, et al.. (2023). Characterization and phylogenetic analysis of the complete mitochondrial genome sequence of Photinia serratifolia. Scientific Reports. 13(1). 770–770. 29 indexed citations
6.
Fang, Liu, Qian Zhao, Cuiling Guo, et al.. (2022). Removing the sporoderm from the sporoderm-broken spores of Ganoderma lucidum improves the anticancer and immune-regulatory activity of the water-soluble polysaccharide. Frontiers in Nutrition. 9. 1006127–1006127. 20 indexed citations
8.
Wang, Ying, Jiajun Chen, Tingting Sang, et al.. (2022). NAG-1/GDF15 protects against streptozotocin-induced type 1 diabetes by inhibiting apoptosis, preserving beta-cell function, and suppressing inflammation in pancreatic islets. Molecular and Cellular Endocrinology. 549. 111643–111643. 19 indexed citations
9.
Wang, Ying, Chaojie Chen, Jiajun Chen, et al.. (2022). Overexpression of NAG-1/GDF15 prevents hepatic steatosis through inhibiting oxidative stress-mediated dsDNA release and AIM2 inflammasome activation. Redox Biology. 52. 102322–102322. 86 indexed citations
10.
Sang, Tingting, Chengjie Guo, Dandan Guo, et al.. (2021). Suppression of obesity and inflammation by polysaccharide from sporoderm-broken spore of Ganoderma lucidum via gut microbiota regulation. Carbohydrate Polymers. 256. 117594–117594. 213 indexed citations breakdown →
11.
Guo, Dandan, Chengjie Guo, Liu Fang, et al.. (2021). Qizhen capsule inhibits colorectal cancer by inducing NAG-1/GDF15 expression that mediated via MAPK/ERK activation. Journal of Ethnopharmacology. 273. 113964–113964. 16 indexed citations
12.
Pan, Haitao, Yujie Wang, Kun Na, et al.. (2019). Autophagic flux disruption contributes to Ganoderma lucidum polysaccharide-induced apoptosis in human colorectal cancer cells via MAPK/ERK activation. Cell Death and Disease. 10(6). 456–456. 129 indexed citations
13.
Na, Kun, et al.. (2017). The ethanol extracts of sporoderm-broken spores of Ganoderma lucidum inhibit colorectal cancer in vitro and in vivo. Oncology Reports. 38(5). 2803–2813. 35 indexed citations
14.
Li, Ruifang, Sara A. Grimm, Kaliopi Chrysovergis, et al.. (2014). Obesity, Rather Than Diet, Drives Epigenomic Alterations in Colonic Epithelium Resembling Cancer Progression. Cell Metabolism. 19(4). 702–711. 55 indexed citations
15.
Jing, Pu, Bingjun Qian, Shu-Juan Zhao, et al.. (2014). Effect of glycosylation patterns of Chinese eggplant anthocyanins and other derivatives on antioxidant effectiveness in human colon cell lines. Food Chemistry. 172. 183–189. 51 indexed citations
16.
Wang, Xingya, Seung Joon Baek, & Thomas E. Eling. (2011). COX inhibitors directly alter gene expression: role in cancer prevention?. Cancer and Metastasis Reviews. 30(3-4). 641–657. 30 indexed citations
17.
Wang, Xingya, Kali Chrysovergis, Rachelle J. Bienstock, Minsub Shim, & Thomas E. Eling. (2011). The H6D variant of NAG‐1/GDF15 inhibits prostate xenograft growth in vivo. The Prostate. 72(6). 677–689. 16 indexed citations
19.
Wang, Xingya & Russell D. Klein. (2005). Characterization of prostaglandin E2 receptors and their role in PGE2-induced VEGF expression in prostate cancer cells. Cancer Research. 65. 178–178. 1 indexed citations
20.
Wang, Xingya, Elizabeth A. Clubbs, & Joshua A. Bomser. (2005). Genistein modulates prostate epithelial cell proliferation via estrogen- and extracellular signal-regulated kinase-dependent pathways. The Journal of Nutritional Biochemistry. 17(3). 204–210. 43 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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