Mingchen Song

32 papers and 1.4k indexed citations i.

About

Mingchen Song is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Mingchen Song has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Immunology. Recurrent topics in Mingchen Song’s work include Sepsis Diagnosis and Treatment (9 papers), Immune Response and Inflammation (8 papers) and Respiratory Support and Mechanisms (6 papers). Mingchen Song is often cited by papers focused on Sepsis Diagnosis and Treatment (9 papers), Immune Response and Inflammation (8 papers) and Respiratory Support and Mechanisms (6 papers). Mingchen Song collaborates with scholars based in United States and South Korea. Mingchen Song's co-authors include John A. Kellum, Jinyou Li, Ramesh Venkataraman, Mitchell P. Fink, Eyad Almasri, David S. Phelps, Ramesh Venkataraman, Robert L. Albright, James F. Winchester and Michael R. Pinsky and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, CHEST Journal and Critical Care Medicine.

In The Last Decade

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

Fields of papers citing papers by Mingchen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingchen Song

Since Specialization
Citations

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