Mary Kim

10 papers and 789 indexed citations i.

About

Mary Kim is a scholar working on Molecular Biology, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Mary Kim has authored 10 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Modeling and Simulation. Recurrent topics in Mary Kim’s work include Virology and Viral Diseases (2 papers), COVID-19 epidemiological studies (2 papers) and Plant Disease Resistance and Genetics (1 paper). Mary Kim is often cited by papers focused on Virology and Viral Diseases (2 papers), COVID-19 epidemiological studies (2 papers) and Plant Disease Resistance and Genetics (1 paper). Mary Kim collaborates with scholars based in United States, China and United Kingdom. Mary Kim's co-authors include Kristine Jones, Shu Ouyang, Jiming Jiang, Steven Henikoff, Zhukuan Cheng, Paul B. Talbert, C. Robin Buell, Kiyotaka Nagaki, Luke J. Tallon and Joerg Graf and has published in prestigious journals such as Nature Genetics, Journal of Bacteriology and Organic Letters.

In The Last Decade

Co-authorship network of co-authors of Mary Kim i

Fields of papers citing papers by Mary Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mary Kim

Since Specialization
Citations

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