Weili Ma

58 papers and 1.9k indexed citations i.

About

Weili Ma is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Weili Ma has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 14 papers in Molecular Biology and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Weili Ma’s work include Lymphoma Diagnosis and Treatment (10 papers), Cancer-related Molecular Pathways (10 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Weili Ma is often cited by papers focused on Lymphoma Diagnosis and Treatment (10 papers), Cancer-related Molecular Pathways (10 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Weili Ma collaborates with scholars based in Taiwan, China and Canada. Weili Ma's co-authors include Samuel Benchimol, Yunping Lin, Razqallah Hakem, Daniel Y.L. Mao, Hong Wu, John M. Parant, Roger Leng, Stephen W. Chung, Bénédicte Lemmers and Guillermina Lozano and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Co-authorship network of co-authors of Weili Ma i

Fields of papers citing papers by Weili Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Weili Ma

Since Specialization
Citations

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