Ying Jin

212 papers and 7.1k indexed citations i.

About

Ying Jin is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Ying Jin has authored 212 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Molecular Biology, 19 papers in Surgery and 18 papers in Immunology. Recurrent topics in Ying Jin’s work include Pluripotent Stem Cells Research (58 papers), CRISPR and Genetic Engineering (37 papers) and Epigenetics and DNA Methylation (22 papers). Ying Jin is often cited by papers focused on Pluripotent Stem Cells Research (58 papers), CRISPR and Genetic Engineering (37 papers) and Epigenetics and DNA Methylation (22 papers). Ying Jin collaborates with scholars based in China, United States and Ireland. Ying Jin's co-authors include Molly Hammell, Guilai Shi, Bing Liao, Oliver H. Tam, Junjie Gu, Acong Yang, Yu Ma, Chunliang Li, Ying Yang and Hongyao Yu and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

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

Fields of papers citing papers by Ying Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Jin

Since Specialization
Citations

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