Ling Ji

45 papers and 302 indexed citations i.

About

Ling Ji is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Ling Ji has authored 45 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 16 papers in Molecular Biology and 13 papers in Hematology. Recurrent topics in Ling Ji’s work include Hemoglobinopathies and Related Disorders (21 papers), Iron Metabolism and Disorders (11 papers) and Diabetes Management and Research (7 papers). Ling Ji is often cited by papers focused on Hemoglobinopathies and Related Disorders (21 papers), Iron Metabolism and Disorders (11 papers) and Diabetes Management and Research (7 papers). Ling Ji collaborates with scholars based in China, Canada and United States. Ling Ji's co-authors include Dennis E. Vance, Lin-Fu Zhu, René L. Jacobs, Weidong Chen, Yu Zhou, Yong Xia, Weijie Xie, Huiping Liu, Yajun Wang and Hongni Wang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Hepatology.

In The Last Decade

Co-authorship network of co-authors of Ling Ji i

Fields of papers citing papers by Ling Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Ji

Since Specialization
Citations

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