Fei Wan

About

Fei Wan is a scholar working on Oncology, General Health Professions and Statistics and Probability. According to data from OpenAlex, Fei Wan has authored 78 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 12 papers in General Health Professions and 12 papers in Statistics and Probability. Recurrent topics in Fei Wan’s work include Advanced Causal Inference Techniques (12 papers), Statistical Methods and Inference (9 papers) and Lymphoma Diagnosis and Treatment (6 papers). Fei Wan is often cited by papers focused on Advanced Causal Inference Techniques (12 papers), Statistical Methods and Inference (9 papers) and Lymphoma Diagnosis and Treatment (6 papers). Fei Wan collaborates with scholars based in United States, China and Italy. Fei Wan's co-authors include Nandita Mitra, David A. Asch, Andrea B. Troxel, Andrea Puig, Henry A. Glick, Robert Galvin, Kevin G. Volpp, Janet Weiner, Mark V. Pauly and Jingsan Zhu and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of Clinical Oncology.

In The Last Decade

Co-authorship network of co-authors of Fei Wan i

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Fields of papers citing papers by Fei Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei Wan. 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 Fei Wan. The network helps show where Fei Wan may publish in the future.

Countries citing papers authored by Fei Wan

Since Specialization

Citations

This map shows the geographic impact of Fei Wan'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 Fei Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Wan 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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