Mei Ji

31 papers and 347 indexed citations i.

About

Mei Ji is a scholar working on Obstetrics and Gynecology, Plant Science and Epidemiology. According to data from OpenAlex, Mei Ji has authored 31 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Obstetrics and Gynecology, 7 papers in Plant Science and 6 papers in Epidemiology. Recurrent topics in Mei Ji’s work include Endometrial and Cervical Cancer Treatments (8 papers), Cervical Cancer and HPV Research (5 papers) and Endometriosis Research and Treatment (3 papers). Mei Ji is often cited by papers focused on Endometrial and Cervical Cancer Treatments (8 papers), Cervical Cancer and HPV Research (5 papers) and Endometriosis Research and Treatment (3 papers). Mei Ji collaborates with scholars based in China, United States and Switzerland. Mei Ji's co-authors include Hong‐Xiang Lou, Peihong Fan, Xiaoli Yan, Carolina dos Santos Passos, Cláudia A. Simões‐Pires, Alessandra Nurisso, Tao Shen, Xiaoning Wang, Huiqing Yuan and Nannan He and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Biochemical and Biophysical Research Communications and BMC Genomics.

In The Last Decade

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

Fields of papers citing papers by Mei Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Ji

Since Specialization
Citations

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