Ru‐Ping Dai

70 papers and 1.2k indexed citations i.

About

Ru‐Ping Dai is a scholar working on Surgery, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ru‐Ping Dai has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 19 papers in Physiology and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ru‐Ping Dai’s work include Pain Mechanisms and Treatments (15 papers), Anesthesia and Pain Management (14 papers) and Stress Responses and Cortisol (10 papers). Ru‐Ping Dai is often cited by papers focused on Pain Mechanisms and Treatments (15 papers), Anesthesia and Pain Management (14 papers) and Stress Responses and Cortisol (10 papers). Ru‐Ping Dai collaborates with scholars based in China, Australia and United States. Ru‐Ping Dai's co-authors include Chang-Qi Li, Xin‐Fu Zhou, Jianyi Zhang, Zhao‐Lan Hu, Junmei Xu, Ling‐Qing Yuan, Xianping Wu, Cong Luo, H. Zhang and Fang Li and has published in prestigious journals such as PLoS ONE, Brain Research and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Ru‐Ping Dai i

Fields of papers citing papers by Ru‐Ping Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ru‐Ping Dai. 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 Ru‐Ping Dai. The network helps show where Ru‐Ping Dai may publish in the future.

Countries citing papers authored by Ru‐Ping Dai

Since Specialization
Citations

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