Han Jin

34 papers and 291 indexed citations i.

About

Han Jin is a scholar working on Molecular Biology, Immunology and Biological Psychiatry. According to data from OpenAlex, Han Jin has authored 34 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Immunology and 4 papers in Biological Psychiatry. Recurrent topics in Han Jin’s work include Atherosclerosis and Cardiovascular Diseases (8 papers), Immune cells in cancer (8 papers) and Single-cell and spatial transcriptomics (4 papers). Han Jin is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (8 papers), Immune cells in cancer (8 papers) and Single-cell and spatial transcriptomics (4 papers). Han Jin collaborates with scholars based in United Kingdom, The Netherlands and China. Han Jin's co-authors include Daxiang Cui, Yuna Zhang, Cuili Xue, Shengsheng Cui, Erik A.L. Biessen, А. А. Ганеев, Hasan Türkez, Yury V. Kistenev, Anna Gubal and Cheng Zhang and has published in prestigious journals such as Nature Communications, Bioinformatics and Journal of Hazardous Materials.

In The Last Decade

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

Fields of papers citing papers by Han Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Han Jin

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025