Ming Wen
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 10%
- Oncology
- Surgery
- Co-authors
- Fay J. HlubockyChristopher K. DaughertyMurray J. FavusDiane S. LauderdaleRonald A. ThistedMark J. RatainTheodore KarrisonMarguerite Herschel
- Topics
- Genetic factors in colorectal cancer (3 papers)Neonatal Health and Biochemistry (2 papers)Erythrocyte Function and Pathophysiology (2 papers)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Ming Wen
18 papers receiving 533 citations
Peers
Comparison fields: 5 of 86
- Pulmonary and Respiratory Medicine 156
- Molecular Biology 138
- Pediatrics, Perinatology and Child Health 127
- Oncology 112
- Surgery 65
Countries citing papers authored by Ming Wen
This map shows the geographic impact of Ming Wen'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 Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wen more than expected).
Fields of papers citing papers by Ming Wen
This network shows the impact of papers produced by Ming Wen. 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 Wen. The network helps show where Ming Wen may publish in the future.
Co-authorship network of co-authors of Ming Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Ming Wen. A scholar is included among the top collaborators of Ming Wen 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 Wen. Ming Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 37 | |
| 7 | 25 | |
| 8 | 1 | |
| 9 | 35 | |
| 10 | 6 | |
| 11 | 80 | |
| 12 | [Effects of the degrees of anxiety and depression on the therapeutic effect of acupuncture in the patient of insomnia]. | 4 |
| 13 | 40 | |
| 14 | Ursodeoxycholic Acid and F6-D3 Inhibit Aberrant Crypt Proliferation in the Rat Azoxymethane Model of Colon Cancer | 2 |
| 15 | 46 | |
| 16 | Ursodeoxycholic acid and F(6)-D(3) inhibit aberrant crypt proliferation in the rat azoxymethane model of colon cancer: roles of cyclin D1 and E-cadherin. | 75 |
| 17 | 6 | |
| 18 | 39 | |
| 19 | 101 | |
| 20 | 39 |
About Ming Wen
Ming Wen is a scholar working on Biological Psychiatry, Pathology and Forensic Medicine and Complementary and alternative medicine, having authored 20 papers that have together received 554 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (3 papers), Neonatal Health and Biochemistry (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Complementary and Manual Therapy (23 citations), Complementary and alternative medicine (61 citations) and Nephrology (52 citations). Ming Wen has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Fay J. Hlubocky, Christopher K. Daugherty, Murray J. Favus, Diane S. Lauderdale, Ronald A. Thisted, Mark J. Ratain, Theodore Karrison, Marguerite Herschel, Beverly W. Baron and Leslie Caldarelli. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology and The Science of The Total Environment.
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.