Weishun Lan

13 papers and 523 indexed citations i.

About

Weishun Lan is a scholar working on Obstetrics and Gynecology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Weishun Lan has authored 13 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Obstetrics and Gynecology, 4 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Weishun Lan’s work include COVID-19 and healthcare impacts (4 papers), COVID-19 Impact on Reproduction (4 papers) and COVID-19 diagnosis using AI (3 papers). Weishun Lan is often cited by papers focused on COVID-19 and healthcare impacts (4 papers), COVID-19 Impact on Reproduction (4 papers) and COVID-19 diagnosis using AI (3 papers). Weishun Lan collaborates with scholars based in China, Hong Kong and United States. Weishun Lan's co-authors include Jinning Li, Dengbin Wang, Huanhuan Liu, Fang Liu, Tingting Zhang, Xufeng Wu, Tingting Zhang, Fang Liu, Liang Wang and Zhen Li and has published in prestigious journals such as Frontiers in Microbiology, Medical Physics and International Journal of Gynecology & Obstetrics.

In The Last Decade

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

Fields of papers citing papers by Weishun Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Weishun Lan

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025