Xinchun Mei

16 total papers · 414 total citations
11 papers, 274 citations indexed

About

Xinchun Mei is a scholar working on Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine and Developmental Neuroscience. According to data from OpenAlex, Xinchun Mei has authored 11 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Critical Care and Intensive Care Medicine, 4 papers in Anesthesiology and Pain Medicine and 4 papers in Developmental Neuroscience. Recurrent topics in Xinchun Mei's work include Intensive Care Unit Cognitive Disorders (5 papers), Anesthesia and Neurotoxicity Research (4 papers) and Anesthesia and Sedative Agents (4 papers). Xinchun Mei is often cited by papers focused on Intensive Care Unit Cognitive Disorders (5 papers), Anesthesia and Neurotoxicity Research (4 papers) and Anesthesia and Sedative Agents (4 papers). Xinchun Mei collaborates with scholars based in China, United States and India. Xinchun Mei's co-authors include Yuan Shen, Zhongyong Shi, Hailin Zheng, Zhongcong Xie, Edward R. Marcantonio, Cheng Li, Yupeng Chen, Lijuan Jiang, Liang Liu and Hui Zheng and has published in prestigious journals such as PLoS ONE, Anesthesiology and Molecular Psychiatry.

In The Last Decade

Xinchun Mei

10 papers receiving 272 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xinchun Mei	118	79	77	62	60	11	274
Vikram Ponnusamy	228 1.9×	190 2.4×	61 0.8×	28 0.5×	24 0.4×	6	309
Dominique Gauvin	98 0.8×	65 0.8×	23 0.3×	10 0.2×	18 0.3×	16	318
A. P. Morley	36 0.3×	73 0.9×	131 1.7×	11 0.2×	11 0.2×	16	322
Takamitsu Ikeda	28 0.2×	51 0.6×	70 0.9×	4 0.1×	8 0.1×	21	209
Andrew Costandi	73 0.6×	119 1.5×	152 2.0×	3 0.0×	4 0.1×	8	285
Weidong Mi	110 0.9×	88 1.1×	43 0.6×		8 0.1×	18	266
Kaat Guldolf	26 0.2×	16 0.2×	11 0.1×	5 0.1×	10 0.2×	8	329
P Frisch	9 0.1×	8 0.1×	51 0.7×	8 0.1×	14 0.2×	16	319
Mark Banoub	9 0.1×	24 0.3×	65 0.8×	11 0.2×	14 0.2×	13	281
Shengmei Zhu	168 1.4×	132 1.7×	58 0.8×	2 0.0×	2 0.0×	8	295

Countries citing papers authored by Xinchun Mei

Since Specialization

Citations

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

Fields of papers citing papers by Xinchun Mei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinchun Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Xinchun Mei. A scholar is included among the top collaborators of Xinchun Mei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinchun Mei. Xinchun Mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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