Danying Song

14 papers and 585 indexed citations i.

About

Danying Song is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Ecology. According to data from OpenAlex, Danying Song has authored 14 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Ecology. Recurrent topics in Danying Song’s work include Monoclonal and Polyclonal Antibodies Research (5 papers), Bacteriophages and microbial interactions (4 papers) and RNA and protein synthesis mechanisms (2 papers). Danying Song is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Bacteriophages and microbial interactions (4 papers) and RNA and protein synthesis mechanisms (2 papers). Danying Song collaborates with scholars based in United States, Germany and China. Danying Song's co-authors include Philip J. Hajduk, Chaohong Sun, Gabriele Petersen, Ekkehard K.F. Bautz, Edward T. Olejniczak, Karl A. Walter, Nan Xu, Liping Yu, Angelo Gunasekera and Jianwei Shen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Biochemistry.

In The Last Decade

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

Fields of papers citing papers by Danying Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danying Song

Since Specialization
Citations

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