Xin Ge

85 papers and 1.0k indexed citations i.

About

Xin Ge is a scholar working on Molecular Biology, Surgery and Rheumatology. According to data from OpenAlex, Xin Ge has authored 85 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Surgery and 13 papers in Rheumatology. Recurrent topics in Xin Ge’s work include IgG4-Related and Inflammatory Diseases (8 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers) and Heme Oxygenase-1 and Carbon Monoxide (6 papers). Xin Ge is often cited by papers focused on IgG4-Related and Inflammatory Diseases (8 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers) and Heme Oxygenase-1 and Carbon Monoxide (6 papers). Xin Ge collaborates with scholars based in China, United States and Japan. Xin Ge's co-authors include Yu Zhu, Cheng Zhang, Yanning Zhang, Shaolin Su, Qingsen Yan, Jinqiu Sun, Fenlin Liu, Bin Lu, Jianmin Ma and Jing Gao and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

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

Fields of papers citing papers by Xin Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xin Ge

Since Specialization
Citations

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