Jin Ma

40 papers and 781 indexed citations i.

About

Jin Ma is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jin Ma has authored 40 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 11 papers in Surgery and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jin Ma’s work include Kawasaki Disease and Coronary Complications (10 papers), Coronary Artery Anomalies (8 papers) and Inflammasome and immune disorders (4 papers). Jin Ma is often cited by papers focused on Kawasaki Disease and Coronary Complications (10 papers), Coronary Artery Anomalies (8 papers) and Inflammasome and immune disorders (4 papers). Jin Ma collaborates with scholars based in China, United States and Canada. Jin Ma's co-authors include Sandy Chang, Asha S. Multani, Sen Pathak, Yibin Deng, Ronald A. DePinho, Purnima R. Laud, Ling Wu, Michel Lebel, Charles V. Kingsley and Susan M. Bailey and has published in prestigious journals such as Genes & Development, The EMBO Journal and Molecular and Cellular Biology.

In The Last Decade

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

Fields of papers citing papers by Jin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Ma

Since Specialization
Citations

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