Yanling Ge

6 papers and 630 indexed citations i.

About

Yanling Ge is a scholar working on Infectious Diseases, Obstetrics and Gynecology and Plant Science. According to data from OpenAlex, Yanling Ge has authored 6 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Obstetrics and Gynecology and 1 paper in Plant Science. Recurrent topics in Yanling Ge’s work include COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Impact on Reproduction (2 papers). Yanling Ge is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Impact on Reproduction (2 papers). Yanling Ge collaborates with scholars based in China. Yanling Ge's co-authors include Jin Xu, Xiangshi Wang, He Tian, Hailing Chang, Mei Zeng, Pengcheng Liu, Yang Zhi, Zhenghai Qu, Aimei Xia and Yuehua Zhang and has published in prestigious journals such as Clinical Infectious Diseases, Frontiers in Pharmacology and Forests.

In The Last Decade

Co-authorship network of co-authors of Yanling Ge i

Fields of papers citing papers by Yanling Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yanling Ge

Since Specialization
Citations

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