Mengjia Song

35 papers and 1.5k indexed citations i.

About

Mengjia Song is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Mengjia Song has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 12 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in Mengjia Song’s work include Cancer Immunotherapy and Biomarkers (9 papers), Immune Cell Function and Interaction (7 papers) and RNA modifications and cancer (5 papers). Mengjia Song is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Immune Cell Function and Interaction (7 papers) and RNA modifications and cancer (5 papers). Mengjia Song collaborates with scholars based in China, United States and Japan. Mengjia Song's co-authors include Yi Zhang, Liping Wang, Dragica Jorgovanović, Xinfeng Chen, Bin Zhang, Jian‐Chuan Xia, Chaoqi Zhang, Shaoyan Cheng, Shasha Liu and Dongli Yue and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Mengjia Song i

Fields of papers citing papers by Mengjia Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mengjia Song

Since Specialization
Citations

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