Ming Mai

22 papers and 1.1k indexed citations i.

About

Ming Mai is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Ming Mai has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Genetics. Recurrent topics in Ming Mai’s work include Cancer-related Molecular Pathways (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Ming Mai is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Ming Mai collaborates with scholars based in United States, Canada and Italy. Ming Mai's co-authors include Jeremy C. Smith, Wanguo Liu, Akira Yokomizo, Chiping Qian, Rebecca F. McClure, Animesh Pardanani, Ayalew Tefferi, Christy Finke, Terra L. Lasho and David G. Bostwick and has published in prestigious journals such as Blood, Oncogene and The American Journal of Surgical Pathology.

In The Last Decade

Co-authorship network of co-authors of Ming Mai i

Fields of papers citing papers by Ming Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Mai

Since Specialization
Citations

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