Guangchun Song

26 papers and 1.7k indexed citations i.

About

Guangchun Song is a scholar working on Hematology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Guangchun Song has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Hematology, 16 papers in Molecular Biology and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Guangchun Song’s work include Acute Myeloid Leukemia Research (19 papers), Acute Lymphoblastic Leukemia research (10 papers) and Protein Degradation and Inhibitors (7 papers). Guangchun Song is often cited by papers focused on Acute Myeloid Leukemia Research (19 papers), Acute Lymphoblastic Leukemia research (10 papers) and Protein Degradation and Inhibitors (7 papers). Guangchun Song collaborates with scholars based in United States, Italy and The Netherlands. Guangchun Song's co-authors include James R. Downing, Sheila Shurtleff, Ching‐Hon Pui, Susana C. Raimondi, Rami Mahfouz, Hsi‐Che Liu, Mary Elizabeth Ross, Dario Campana, Elaine Coustan‐Smith and Jing Ma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

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

Fields of papers citing papers by Guangchun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guangchun Song

Since Specialization
Citations

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