Mei Dong

32 papers and 235 indexed citations i.

About

Mei Dong is a scholar working on Molecular Biology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Mei Dong has authored 32 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Epidemiology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Mei Dong’s work include Lymphoma Diagnosis and Treatment (5 papers), Respiratory viral infections research (5 papers) and Pneumonia and Respiratory Infections (4 papers). Mei Dong is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), Respiratory viral infections research (5 papers) and Pneumonia and Respiratory Infections (4 papers). Mei Dong collaborates with scholars based in China. Mei Dong's co-authors include Gong Cheng, Fang Huang, Ming‐Cheng Luo, Maozhong Li, Aihua Li, Yi‐Ting Wang, Duo Liu, Xiaohong Zhu, Yanbo Wang and Changqing Yan and has published in prestigious journals such as Journal of Clinical Oncology, Medicine and BMC Cancer.

In The Last Decade

Co-authorship network of co-authors of Mei Dong i

Fields of papers citing papers by Mei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Dong

Since Specialization
Citations

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