Lan Lan

About

Lan Lan is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Rheumatology. According to data from OpenAlex, Lan Lan has authored 86 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Oncology and 14 papers in Rheumatology. Recurrent topics in Lan Lan’s work include Systemic Lupus Erythematosus Research (12 papers), Renal Diseases and Glomerulopathies (9 papers) and COVID-19 diagnosis using AI (8 papers). Lan Lan is often cited by papers focused on Systemic Lupus Erythematosus Research (12 papers), Renal Diseases and Glomerulopathies (9 papers) and COVID-19 diagnosis using AI (8 papers). Lan Lan collaborates with scholars based in China, United States and Australia. Lan Lan's co-authors include Haibo Xu, Dan Xu, Yirong Li, Xia Chen, Shaokang Wang, Guangming Ye, Minhua Yu, Rongguo Zhang, Yaping Zheng and Jianghua Chen and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and ACS Nano.

In The Last Decade

Co-authorship network of co-authors of Lan Lan i

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Fields of papers citing papers by Lan Lan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lan Lan

Since Specialization

Citations

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