Nan Jin

48 papers and 1.3k indexed citations i.

About

Nan Jin is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Nan Jin has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Oncology and 7 papers in Epidemiology. Recurrent topics in Nan Jin’s work include Cytomegalovirus and herpesvirus research (5 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Epigenetics and DNA Methylation (5 papers). Nan Jin is often cited by papers focused on Cytomegalovirus and herpesvirus research (5 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Epigenetics and DNA Methylation (5 papers). Nan Jin collaborates with scholars based in China, Germany and United States. Nan Jin's co-authors include Bing Leng, Ling Chen, Yana Jin, Ge Li, Min Huang, Meiyu Geng, Jian Ding, Michael Schmitt, Shuai Tang and Jiju Mani and has published in prestigious journals such as Nature Materials, The Journal of Cell Biology and Cancer Cell.

In The Last Decade

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

Fields of papers citing papers by Nan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nan Jin

Since Specialization
Citations

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