Ming-Fang Wang

3.9k total citations · 1 hit paper
135 papers, 3.0k citations indexed

About

Ming-Fang Wang is a scholar working on Epidemiology, Hepatology and Materials Chemistry. According to data from OpenAlex, Ming-Fang Wang has authored 135 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Epidemiology, 21 papers in Hepatology and 19 papers in Materials Chemistry. Recurrent topics in Ming-Fang Wang's work include Liver Disease Diagnosis and Treatment (29 papers), Liver Disease and Transplantation (16 papers) and Metal-Organic Frameworks: Synthesis and Applications (11 papers). Ming-Fang Wang is often cited by papers focused on Liver Disease Diagnosis and Treatment (29 papers), Liver Disease and Transplantation (16 papers) and Metal-Organic Frameworks: Synthesis and Applications (11 papers). Ming-Fang Wang collaborates with scholars based in China, United States and Singapore. Ming-Fang Wang's co-authors include Su Lin, Yueyong Zhu, Jiaofeng Huang, Zheng‐yin Yang, Yong Li, Yinlian Wu, Shih‐Jiun Yin, Rahul Kumar, Shiying Liu and Giia‐Sheun Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Chemical Communications.

In The Last Decade

Ming-Fang Wang

127 papers receiving 2.9k citations

Hit Papers

Comparison of MAFLD and NAFLD diagnostic criteria in real... 2020 2026 2022 2024 2020 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
Ming-Fang Wang China 29 944 547 477 369 345 135 3.0k
Hiroaki Maeda Japan 47 667 0.7× 1.2k 2.2× 162 0.3× 255 0.7× 417 1.2× 211 6.8k
Lu Wang China 34 611 0.6× 277 0.5× 202 0.4× 693 1.9× 603 1.7× 306 4.3k
Jun Shen China 43 328 0.3× 1.3k 2.4× 245 0.5× 157 0.4× 646 1.9× 295 7.4k
Richard J. Jones United States 30 311 0.3× 236 0.4× 296 0.6× 143 0.4× 821 2.4× 116 4.1k
Keiji Yamamoto Japan 46 629 0.7× 557 1.0× 139 0.3× 370 1.0× 323 0.9× 340 8.1k
Nicola Ferri Italy 45 543 0.6× 372 0.7× 138 0.3× 98 0.3× 513 1.5× 208 6.3k
Yao‐Tsung Yeh Taiwan 33 385 0.4× 1.5k 2.7× 144 0.3× 85 0.2× 375 1.1× 107 3.7k
Xinhe Wang China 22 225 0.2× 523 1.0× 104 0.2× 328 0.9× 191 0.6× 111 3.0k
Michio Kobayashi Japan 31 636 0.7× 324 0.6× 355 0.7× 863 2.3× 711 2.1× 383 5.0k

Countries citing papers authored by Ming-Fang Wang

Since Specialization
Citations

This map shows the geographic impact of Ming-Fang 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-Fang 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-Fang Wang more than expected).

Fields of papers citing papers by Ming-Fang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Fang Wang. A scholar is included among the top collaborators of Ming-Fang 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-Fang Wang. Ming-Fang 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.
Tang, Xin-Yuan, et al.. (2023). Observation of the validity of the upper lip bite test in predicting difficult intubation. Scientific Reports. 13(1). 22160–22160. 1 indexed citations
2.
Xu, Yan‐Min, Ming-Fang Wang, & Bao‐Liang Zhong. (2023). Both people living in the COVID-19 epicenter and those who have recently left are at a higher risk of loneliness. Scientific Reports. 13(1). 21145–21145. 3 indexed citations
3.
Zhang, Jinyan, et al.. (2023). Advances in application of swept-source optical coherence tomography angiography in diagnosis and treatment of diabetic retinopathy. SHILAP Revista de lepidopterología. 3. 1116391–1116391. 2 indexed citations
4.
Huang, Jiaofeng, Yinlian Wu, Ming-Fang Wang, Yueyong Zhu, & Su Lin. (2022). Lower Vitamin D Levels are Associated with Higher Seroprevalence of Toxoplasma gondii—a US National Survey Study. SHILAP Revista de lepidopterología. 2(1). 3 indexed citations
5.
Chen, Xiaoning, George Boon‐Bee Goh, Jiaofeng Huang, et al.. (2022). Validation of Non-invasive Fibrosis Scores for Predicting Advanced Fibrosis in Metabolic-associated Fatty Liver Disease. Journal of Clinical and Translational Hepatology. 10(4). 589–594. 15 indexed citations
6.
Huang, Jiaofeng, Ming-Fang Wang, Yinlian Wu, Rahul Kumar, & Su Lin. (2022). Serum high-sensitive C-reactive protein is a simple indicator for all-cause among individuals with MAFLD. Frontiers in Physiology. 13. 1012887–1012887. 15 indexed citations
7.
Huang, Jiaofeng, Yinlian Wu, Ming-Fang Wang, & Su Lin. (2022). The association between serum 25‐hydroxyvitamin D and the prevalence of herpes simplex virus. Journal of Medical Virology. 95(1). e28297–e28297. 6 indexed citations
8.
Wu, Yinlian, Rahul Kumar, Ming-Fang Wang, et al.. (2021). Validation of conventional non-invasive fibrosis scoring systems in patients with metabolic associated fatty liver disease. World Journal of Gastroenterology. 27(34). 5753–5763. 25 indexed citations
9.
Lin, Su, et al.. (2020). The Risk of Acute Kidney Injury in Hepatitis B Virus‐Related Acute on Chronic Liver Failure with Tenofovir Treatment. BioMed Research International. 2020(1). 5728359–5728359. 5 indexed citations
10.
Zheng, Changjian, Weidong Yao, Ling Guo, et al.. (2019). Predictors of difficult airway in a Chinese surgical population: the gender effect. Minerva Anestesiologica. 85(5). 478–486. 9 indexed citations
11.
Wan, Bo, Su Lin, Ming-Fang Wang, et al.. (2018). Procalcitonin and Liver Disease: A Literature Review. Journal of Clinical and Translational Hepatology. 7(1). 51–55. 48 indexed citations
12.
Wang, Ming-Fang, et al.. (2018). Efficacy and safety of autologous stem cell transplantation for decompensated liver cirrhosis: A retrospective cohort study. World Journal of Stem Cells. 10(10). 138–145. 8 indexed citations
13.
Wang, Ming-Fang & Xiaoju Jin. (2017). Effect of opioid receptors and drugs on tumor development. 38(12). 1166–1170.
14.
Wang, Ming-Fang, et al.. (2016). Value of indocyanine green test in evaluating liver reserve function in patients with hepatitis B cirrhosis. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Lin, Su, Ming-Fang Wang, Yueyong Zhu, et al.. (2015). Hemorrhagic complications following abdominal paracentesis in patients with acute-on-chronic liver failure. 33(5). 262–265. 3 indexed citations
16.
Lin, Su, Zhiyuan Weng, Jing Xu, et al.. (2013). A study of multiple biliary hamartomas based on 1697 liver biopsies. European Journal of Gastroenterology & Hepatology. 25(8). 948–952. 16 indexed citations
17.
Yao, Chung‐Tay, Chun‐An Cheng, Hsu-Kun Wang, et al.. (2011). The role of ALDH2 and ADH1B polymorphism in alcohol consumption and stroke in Han Chinese. Human Genomics. 5(6). 569–569. 32 indexed citations
18.
Wang, Ming-Fang, et al.. (2008). Substrate specificity of human and yeast aldehyde dehydrogenases. Chemico-Biological Interactions. 178(1-3). 36–39. 61 indexed citations
19.
Wang, Quanshi, et al.. (2005). Preliminary clinical application of ~(11)C-MET PET/CT in the brain glioma patients. 25(5). 286–287. 1 indexed citations
20.
Hurson, Ali R., Ben Lee, Behrooz Shirazi, & Ming-Fang Wang. (1990). A Program Allocation Scheme for Data Flow Computers.. Proceedings of the International Conference on Parallel Processing. 415–423. 8 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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