Songmu Jin

10 papers and 540 indexed citations i.

About

Songmu Jin is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Songmu Jin has authored 10 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Food Science. Recurrent topics in Songmu Jin’s work include Salmonella and Campylobacter epidemiology (3 papers), Plant Pathogens and Fungal Diseases (3 papers) and Plant-Microbe Interactions and Immunity (3 papers). Songmu Jin is often cited by papers focused on Salmonella and Campylobacter epidemiology (3 papers), Plant Pathogens and Fungal Diseases (3 papers) and Plant-Microbe Interactions and Immunity (3 papers). Songmu Jin collaborates with scholars based in Canada, Germany and United States. Songmu Jin's co-authors include Voon Loong Chan, Philip M. Sherman, Eric Kurt Hani, Angela Joe, Thomas E. Sussan, Steven W. Hutcheson, Paul H. Goodwin, Andrew Emili, Jieran Li and Stefanie H. Baker and has published in prestigious journals such as Journal of Bacteriology, Molecular Microbiology and Experimental Cell Research.

In The Last Decade

Co-authorship network of co-authors of Songmu Jin i

Fields of papers citing papers by Songmu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songmu Jin

Since Specialization
Citations

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