Haichen Song

23 papers and 1.2k indexed citations i.

About

Haichen Song is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Haichen Song has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 10 papers in Agronomy and Crop Science and 8 papers in Infectious Diseases. Recurrent topics in Haichen Song’s work include Influenza Virus Research Studies (14 papers), Animal Disease Management and Epidemiology (10 papers) and Respiratory viral infections research (5 papers). Haichen Song is often cited by papers focused on Influenza Virus Research Studies (14 papers), Animal Disease Management and Epidemiology (10 papers) and Respiratory viral infections research (5 papers). Haichen Song collaborates with scholars based in United States, Norway and China. Haichen Song's co-authors include Daniel R. Pérez, Erin M. Sorrell, Hongquan Wan, Vikram N. Vakharia, Nina Santi, Øystein Evensen, Gloria Ramírez, Lindomar Pena, M. Jaber Hossain and Rubén O. Donis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Virology.

In The Last Decade

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

Fields of papers citing papers by Haichen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haichen Song

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025