Ming-Wen An
- Cancer Research
- Oncology
- Statistics and Probability top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- Sumithra J. MandrekarDaniel J. SargentLindsay A. RenfroHimel MallickAxel GrotheyJeffrey P. MeyersJan BogaertsStuart F. Quan
- Topics
- Statistical Methods in Clinical Trials (9 papers)Cancer Genomics and Diagnostics (8 papers)Colorectal Cancer Treatments and Studies (3 papers)
- Partner nations
- United StatesKenya
In The Last Decade
Ming-Wen An
18 papers receiving 430 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 109
- Oncology 90
- Statistics and Probability 85
- Molecular Biology 82
- Pulmonary and Respiratory Medicine 82
Countries citing papers authored by Ming-Wen An
This map shows the geographic impact of Ming-Wen An'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 An 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 An more than expected).
Fields of papers citing papers by Ming-Wen An
This network shows the impact of papers produced by Ming-Wen An. 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 An. The network helps show where Ming-Wen An may publish in the future.
Co-authorship network of co-authors of Ming-Wen An
This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Wen An. A scholar is included among the top collaborators of Ming-Wen An 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 An. Ming-Wen An is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 49 | |
| 5 | 47 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 41 | |
| 10 | 16 | |
| 11 | 13 | |
| 12 | 22 | |
| 13 | 7 | |
| 14 | 24 | |
| 15 | 58 | |
| 16 | 25 | |
| 17 | 68 | |
| 18 | 50 |
About Ming-Wen An
Ming-Wen An is a scholar working on Statistics and Probability, Cancer Research and Statistics, Probability and Uncertainty, having authored 18 papers that have together received 443 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Cancer Genomics and Diagnostics (8 papers) and Colorectal Cancer Treatments and Studies (3 papers). The work is most often cited by research in Statistics and Probability (85 citations), Cancer Research (109 citations) and Virology (33 citations). Ming-Wen An has collaborated with scholars based in United States and Kenya. Frequent co-authors include Sumithra J. Mandrekar, Daniel J. Sargent, Lindsay A. Renfro, Himel Mallick, Axel Grothey, Jeffrey P. Meyers, Jan Bogaerts, Stuart F. Quan, Eyal Shahar and James L. Goodwin. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and PEDIATRICS.
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.