Yazhou Wen

27 total papers · 436 total citations
15 papers, 194 citations indexed

About

Yazhou Wen is a scholar working on Surgery, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Yazhou Wen has authored 15 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Critical Care and Intensive Care Medicine and 3 papers in Anesthesiology and Pain Medicine. Recurrent topics in Yazhou Wen's work include Intensive Care Unit Cognitive Disorders (3 papers), Anesthesia and Neurotoxicity Research (2 papers) and Anesthesia and Sedative Agents (2 papers). Yazhou Wen is often cited by papers focused on Intensive Care Unit Cognitive Disorders (3 papers), Anesthesia and Neurotoxicity Research (2 papers) and Anesthesia and Sedative Agents (2 papers). Yazhou Wen collaborates with scholars based in China and United States. Yazhou Wen's co-authors include Zhenling Ji, Wanjun Hu, Tianzhu Zhang, Long Zhu, Zhigang Zhang, Faming Wang, Pengfei Ren, Shanwu Feng, Hongmei Yuan and Feng Jiang and has published in prestigious journals such as Journal of Affective Disorders, Behavioural Brain Research and Psychiatry Research.

In The Last Decade

Yazhou Wen

15 papers receiving 194 citations

Author Peers

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

Author						Papers	Cites
Yazhou Wen	77	26	25	24	21	15	194
Minli Sun	43 0.6×	90 3.5×	11 0.4×	22 0.9×	25 1.2×	22	281
Gang Tan	82 1.1×	11 0.4×	5 0.2×	24 1.0×	8 0.4×	18	190
Fang Hao	34 0.4×	33 1.3×	6 0.2×	11 0.5×	4 0.2×	25	183
Xiaochong Fan	21 0.3×	68 2.6×	17 0.7×	5 0.2×	4 0.2×	20	255
GE Davies	71 0.9×	42 1.6×	12 0.5×	18 0.8×	2 0.1×	15	246
Tomáš Urban	30 0.4×	49 1.9×	4 0.2×	48 2.0×	18 0.9×	20	213
Geoff Smith	93 1.2×	20 0.8×	10 0.4×	6 0.3×	6 0.3×	19	236
David P. Lerner	70 0.9×	36 1.4×	8 0.3×	7 0.3×	8 0.4×	31	234
Sheng Qiu	49 0.6×	28 1.1×	4 0.2×	10 0.4×	4 0.2×	17	221
Grace Hogan	47 0.6×	57 2.2×	6 0.2×	13 0.5×	7 0.3×	11	233

Countries citing papers authored by Yazhou Wen

Since Specialization

Citations

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

Fields of papers citing papers by Yazhou Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yazhou Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Yazhou Wen. A scholar is included among the top collaborators of Yazhou Wen 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 Yazhou Wen. Yazhou Wen 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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