Ying Jin

38 papers and 647 indexed citations i.

About

Ying Jin is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ying Jin has authored 38 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Immunology. Recurrent topics in Ying Jin’s work include Cancer-related Molecular Pathways (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Breast Lesions and Carcinomas (2 papers). Ying Jin is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Breast Lesions and Carcinomas (2 papers). Ying Jin collaborates with scholars based in China, Hong Kong and United States. Ying Jin's co-authors include Zhimin Fan, Chang Liu, Jiayuh Lin, Valerie P. Castle, Gabriel Núñez, Melinda Huang, Carmen Page, Huey Lin, Ji‐Liang Li and Qing Miao and has published in prestigious journals such as PLoS ONE, Cochrane library and Developmental Biology.

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