De-Gang Song

14 papers and 844 indexed citations i.

About

De-Gang Song is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, De-Gang Song has authored 14 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in De-Gang Song’s work include CAR-T cell therapy research (9 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (3 papers). De-Gang Song is often cited by papers focused on CAR-T cell therapy research (9 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (3 papers). De-Gang Song collaborates with scholars based in United States, China and Greece. De-Gang Song's co-authors include Daniel J. Powell, Mathilde Poussin, Andrew Best, Qunrui Ye, Evripidis Lanitis, Raphael Sandaltzopoulos, Carl H. June, George Coukos, Tori N. Yamamoto and Chunsheng Li and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of De-Gang Song i

Fields of papers citing papers by De-Gang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by De-Gang Song

Since Specialization
Citations

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