Lin Song

124 papers and 2.1k indexed citations i.

About

Lin Song is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Lin Song has authored 124 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Immunology, 34 papers in Molecular Biology and 18 papers in Hematology. Recurrent topics in Lin Song’s work include Aquaculture disease management and microbiota (29 papers), Hematopoietic Stem Cell Transplantation (16 papers) and Invertebrate Immune Response Mechanisms (15 papers). Lin Song is often cited by papers focused on Aquaculture disease management and microbiota (29 papers), Hematopoietic Stem Cell Transplantation (16 papers) and Invertebrate Immune Response Mechanisms (15 papers). Lin Song collaborates with scholars based in China, United States and New Zealand. Lin Song's co-authors include Chao Li, Baofeng Su, Qiang Fu, Chengbin Gao, Shikai Liu, Zhanjiang Liu, Xiaolin Chen, Pengcheng Li, Fenghua Tan and Wancui Xie and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Blood.

In The Last Decade

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

Fields of papers citing papers by Lin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lin Song

Since Specialization
Citations

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