Xin Wan

118 papers and 1.6k indexed citations i.

About

Xin Wan is a scholar working on Molecular Biology, Nephrology and Epidemiology. According to data from OpenAlex, Xin Wan has authored 118 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 35 papers in Nephrology and 23 papers in Epidemiology. Recurrent topics in Xin Wan’s work include Acute Kidney Injury Research (27 papers), Chronic Kidney Disease and Diabetes (17 papers) and Sepsis Diagnosis and Treatment (8 papers). Xin Wan is often cited by papers focused on Acute Kidney Injury Research (27 papers), Chronic Kidney Disease and Diabetes (17 papers) and Sepsis Diagnosis and Treatment (8 papers). Xin Wan collaborates with scholars based in China, United States and Japan. Xin Wan's co-authors include Changchun Cao, Quan Cheng, Shaohong Fang, Shuo Shen, Bo Yu, Binbin Pan, Chenguang Wang, Xin Chen, Bing‐Hua Jiang and Renjun Peng and has published in prestigious journals such as Blood, ACS Nano and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Xin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xin Wan

Since Specialization
Citations

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