Yun Ling

243 papers and 7.8k indexed citations i.

About

Yun Ling is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Yun Ling has authored 243 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 46 papers in Oncology and 43 papers in Infectious Diseases. Recurrent topics in Yun Ling’s work include COVID-19 Clinical Research Studies (33 papers), SARS-CoV-2 and COVID-19 Research (22 papers) and Lung Cancer Treatments and Mutations (21 papers). Yun Ling is often cited by papers focused on COVID-19 Clinical Research Studies (33 papers), SARS-CoV-2 and COVID-19 Research (22 papers) and Lung Cancer Treatments and Mutations (21 papers). Yun Ling collaborates with scholars based in China, United States and Hong Kong. Yun Ling's co-authors include Hongzhou Lu, Yuxin Shi, Jun Chen, Qinglong Guo, Na Lu, Fei Shan, Jie Shen, Qidong You, Nannan Shi and Yebin Jiang and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Yun Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yun Ling

Since Specialization
Citations

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