Ming-Fu Wang

1.7k total citations
52 papers, 1.4k citations indexed

About

Ming-Fu Wang is a scholar working on Molecular Biology, Complementary and alternative medicine and Physiology. According to data from OpenAlex, Ming-Fu Wang has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Complementary and alternative medicine and 8 papers in Physiology. Recurrent topics in Ming-Fu Wang's work include Exercise and Physiological Responses (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Muscle metabolism and nutrition (5 papers). Ming-Fu Wang is often cited by papers focused on Exercise and Physiological Responses (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Muscle metabolism and nutrition (5 papers). Ming-Fu Wang collaborates with scholars based in Taiwan, United States and China. Ming-Fu Wang's co-authors include Chi‐Chang Huang, Yin‐Ching Chan, Fu‐Chou Cheng, Yi‐Ming Chen, Tsung‐Yu Tsai, Wei Li, Yi-Ju Hsu, Yen‐Shuo Chiu, Shigeru Yamamoto and Chao Zhao and has published in prestigious journals such as PLoS ONE, Biomaterials and Scientific Reports.

In The Last Decade

Ming-Fu Wang

52 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-Fu Wang Taiwan 23 479 342 175 139 139 52 1.4k
Yonglin Gao China 25 718 1.5× 147 0.4× 195 1.1× 54 0.4× 95 0.7× 100 1.8k
Seong Lin Teoh Malaysia 26 557 1.2× 214 0.6× 128 0.7× 107 0.8× 170 1.2× 83 2.0k
Rosemari Otton Brazil 26 388 0.8× 313 0.9× 343 2.0× 73 0.5× 40 0.3× 65 1.7k
Christian Lefebvre d’Hellencourt France 25 447 0.9× 361 1.1× 129 0.7× 160 1.2× 86 0.6× 48 1.9k
Mijung Yeom South Korea 27 603 1.3× 253 0.7× 94 0.5× 44 0.3× 87 0.6× 70 1.8k
Claudia Sticozzi Italy 24 580 1.2× 255 0.7× 80 0.5× 121 0.9× 74 0.5× 52 2.0k
Mehmet Gül Türkiye 23 294 0.6× 149 0.4× 129 0.7× 47 0.3× 151 1.1× 103 1.7k
Pasqualina Buono Italy 23 636 1.3× 385 1.1× 162 0.9× 140 1.0× 91 0.7× 83 1.8k
Choumous Kallel Tunisia 19 213 0.4× 251 0.7× 106 0.6× 137 1.0× 102 0.7× 58 1.1k

Countries citing papers authored by Ming-Fu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Fu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Fu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Fu Wang. A scholar is included among the top collaborators of Ming-Fu 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 Ming-Fu Wang. Ming-Fu 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.
Lee, Chia‐Chia, Mon‐Chien Lee, Ming-Fu Wang, et al.. (2025). A comprehensive approach, based on the use of Caenorhabditis elegans, mouse, and human models, elucidates the impact of Lactiplantibacillus plantarum TWK10 on exercise performance and longevity. Current Research in Food Science. 10. 101015–101015. 1 indexed citations
2.
Wang, Ming-Fu, et al.. (2023). On the removal efficiency of copper ions in wastewater using calcined waste eggshells as natural adsorbents. Scientific Reports. 13(1). 437–437. 18 indexed citations
3.
Wong, Yueching, et al.. (2023). Potential antidepressant effects of a dietary supplement from Huáng qí and its complex in aged senescence-accelerated mouse prone-8 mice. Frontiers in Nutrition. 10. 1235780–1235780. 3 indexed citations
4.
Chen, Ying‐Ju, Mei‐Due Yang, Ping‐Hsiu Huang, et al.. (2022). Potential antidepressant effects of a dietary supplement from the chlorella and lion's mane mushroom complex in aged SAMP8 mice. Frontiers in Nutrition. 9. 977287–977287. 7 indexed citations
5.
Chen, Li‐Han, Ming-Fu Wang, Chun‐Chao Chang, et al.. (2021). Lacticaseibacillus paracasei PS23 Effectively Modulates Gut Microbiota Composition and Improves Gastrointestinal Function in Aged SAMP8 Mice. Nutrients. 13(4). 1116–1116. 24 indexed citations
6.
Wen, Yuxi, Luying Gao, Chao Ai, et al.. (2021). Opportunities and challenges of algal fucoidan for diabetes management. Trends in Food Science & Technology. 111. 628–641. 50 indexed citations
7.
Chen, Yen‐Lien, et al.. (2021). An Examination of Lactobacillus paracasei GKS6 and Bifidobacterium lactis GKK2 Isolated from Infant Feces in an Aged Mouse Model. Evidence-based Complementary and Alternative Medicine. 2021. 1–9. 8 indexed citations
8.
Liu, Dan, Ruoxin Chen, Ming-Fu Wang, et al.. (2021). Nutraceutical potentials of algal ulvan for healthy aging. International Journal of Biological Macromolecules. 194. 422–434. 20 indexed citations
9.
Liu, Xiaoyan, Dan Liu, Guopeng Lin, et al.. (2019). Anti-ageing and antioxidant effects of sulfate oligosaccharides from green algae Ulva lactuca and Enteromorpha prolifera in SAMP8 mice. International Journal of Biological Macromolecules. 139. 342–351. 91 indexed citations
10.
Chan, Yin‐Ching, Ming-Fu Wang, & Juen-Haur Hwang. (2018). Effects of Spirulina on GABA-Receptor Gene Expression in Salicylate-Induced Tinnitus. The International Tinnitus Journal. 22(1). 84–88. 7 indexed citations
11.
Liu, Hen‐Yu, Chiung-Fang Huang, Wei-Hong Chen, et al.. (2016). Osteoporosis Recovery by Antrodia camphorata Alcohol Extracts through Bone Regeneration in SAMP8 Mice. Evidence-based Complementary and Alternative Medicine. 2016(1). 2617868–2617868. 6 indexed citations
12.
Yang, Mei-Due, Wen-Shin Chang, Chia-Wen Tsai, et al.. (2016). Inhibitory Effects of AVEMAR on Proliferation and Metastasis of Oral Cancer Cells. Nutrition and Cancer. 68(3). 473–480. 17 indexed citations
13.
Cheng, Fu‐Chou, et al.. (2014). Magnesium Enhances Exercise Performance via Increasing Glucose Availability in the Blood, Muscle, and Brain during Exercise. PLoS ONE. 9(1). e85486–e85486. 23 indexed citations
14.
Wang, Ming-Fu, et al.. (2014). Inhalation of Shin–I essential oil enhances lactate clearance in treadmill exercise. Asian Pacific Journal of Tropical Biomedicine. 4(2). 158–163. 2 indexed citations
15.
Lin, Wei‐Sheng, Junyi Chen, Liang-Yü Chen, et al.. (2013). The anti-aging effects of Ludwigia octovalvis on Drosophila melanogaster and SAMP8 mice. AGE. 36(2). 689–703. 38 indexed citations
16.
17.
Cheong, Mei‐Leng, Hen‐Yu Liu, Ming-Fu Wang, et al.. (2011). Use of iQPR-H2O for bone regeneration and its potential in the improvement of osteoporosis. BMC Musculoskeletal Disorders. 12(1). 227–227. 3 indexed citations
18.
Wong, Yueching, Maurice R. Bennink, Ming-Fu Wang, & Shigeru Yamamoto. (2000). Overconcern about Thinness in 10- to 14-Year-Old Schoolgirls in Taiwan. Journal of the American Dietetic Association. 100(2). 234–237. 18 indexed citations
19.
Wong, Yueching, et al.. (1999). Weight Satisfaction and Dieting Practices among College Males in Taiwan. Journal of the American College of Nutrition. 18(3). 223–228. 24 indexed citations
20.
Yamamoto, Shigeru, Ming-Fu Wang, Andrew A. Adjei, & Clement K. Ameho. (1997). Role of nucleosides and nucleotides in the immune system, gut reparation after injury, and brain function. Nutrition. 13(4). 372–374. 48 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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