Ming-Wen An

18 papers and 423 indexed citations i.

About

Ming-Wen An is a scholar working on Statistics and Probability, Cancer Research and Oncology. According to data from OpenAlex, Ming-Wen An has authored 18 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 8 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Ming-Wen An’s work include Statistical Methods in Clinical Trials (9 papers), Cancer Genomics and Diagnostics (8 papers) and Lung Cancer Treatments and Mutations (3 papers). Ming-Wen An is often cited by papers focused on Statistical Methods in Clinical Trials (9 papers), Cancer Genomics and Diagnostics (8 papers) and Lung Cancer Treatments and Mutations (3 papers). Ming-Wen An collaborates with scholars based in United States, Belgium and Kenya. Ming-Wen An's co-authors include Sumithra J. Mandrekar, Daniel J. Sargent, Lindsay A. Renfro, Himel Mallick, Jan Bogaerts, Axel Grothey, Jeffrey P. Meyers, Graciela E. Silva, Stuart F. Quan and Eyal Shahar and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and PEDIATRICS.

In The Last Decade

Co-authorship network of co-authors of Ming-Wen An i

Fields of papers citing papers by Ming-Wen An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Ming-Wen An

Since Specialization
Citations

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).

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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2025