Jin Sha

About

Jin Sha is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Jin Sha has authored 18 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Genetics. Recurrent topics in Jin Sha’s work include Cardiovascular Function and Risk Factors (6 papers), Epigenetics and DNA Methylation (4 papers) and Cardiac Imaging and Diagnostics (3 papers). Jin Sha is often cited by papers focused on Cardiovascular Function and Risk Factors (6 papers), Epigenetics and DNA Methylation (4 papers) and Cardiac Imaging and Diagnostics (3 papers). Jin Sha collaborates with scholars based in United States, China and Spain. Jin Sha's co-authors include Donna K. Arnett, Degui Zhi, Marguerite R. Irvin, Devin Absher, Hemant K. Tiwari, José M. Ordovás, Bertha Hidalgo, Senthil Selvaraj, Sanjiv J. Shah and Frank G. Aguilar and has published in prestigious journals such as Circulation, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

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

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Fields of papers citing papers by Jin Sha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Sha

Since Specialization

Citations

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