Mei Ju

About

Mei Ju is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Mei Ju has authored 13 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Mei Ju’s work include Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Mei Ju is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Mei Ju collaborates with scholars based in China and Thailand. Mei Ju's co-authors include Baolu Zhang, Lin He, Lei Cheng, Yanfen Wang, Xiaoqin Liu, Ye Tao, Kun Wu, Hongyan Liu, Yingzhong Zhao and Yao Liu and has published in prestigious journals such as PLoS ONE, Journal of Medical Internet Research and Journal of Clinical Nursing.

In The Last Decade

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

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Fields of papers citing papers by Mei Ju

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Ju

Since Specialization

Citations

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