Ming‐Wen An

30 total papers · 498 total citations
12 papers, 345 citations indexed

About

Ming‐Wen An is a scholar working on Statistics and Probability, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ming‐Wen An has authored 12 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 4 papers in Cancer Research and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ming‐Wen An’s work include Statistical Methods and Bayesian Inference (4 papers), Cancer Genomics and Diagnostics (3 papers) and Advanced Causal Inference Techniques (3 papers). Ming‐Wen An is often cited by papers focused on Statistical Methods and Bayesian Inference (4 papers), Cancer Genomics and Diagnostics (3 papers) and Advanced Causal Inference Techniques (3 papers). Ming‐Wen An collaborates with scholars based in United States, Belgium and China. Ming‐Wen An's co-authors include Mark L. Unruh, Daniel J. Buysse, Anne B. Newman, Susan Redline, F. Javier Nieto, Constantine Frangakis, Ellen J. MacKenzie, Donald B. Rubin, Charles A. Rohde and Brian Caffo and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Biometrics.

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.

Ming‐Wen An

12 papers receiving 339 citations

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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2026