Liang‐Nian Song

23 papers and 727 indexed citations i.

About

Liang‐Nian Song is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Liang‐Nian Song has authored 23 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Liang‐Nian Song’s work include Estrogen and related hormone effects (9 papers), Hormonal Regulation and Hypertension (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Liang‐Nian Song is often cited by papers focused on Estrogen and related hormone effects (9 papers), Hormonal Regulation and Hypertension (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Liang‐Nian Song collaborates with scholars based in United States, China and Switzerland. Liang‐Nian Song's co-authors include Edward P. Gelmann, S. Stoney Simons, Qi Wang, Ying Huang, John A. Blackford, Rui Yang, Kongming Wu, Bin Qi, Yanling Wang and Heming Wu and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Liang‐Nian Song i

Fields of papers citing papers by Liang‐Nian Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liang‐Nian Song

Since Specialization
Citations

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