Wen Wei

97 total papers · 1.0k total citations
45 papers, 759 citations indexed

About

Wen Wei is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Wen Wei has authored 45 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 6 papers in Epidemiology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Wen Wei's work include Hormonal Regulation and Hypertension (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers) and Algorithms and Data Compression (2 papers). Wen Wei is often cited by papers focused on Hormonal Regulation and Hypertension (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers) and Algorithms and Data Compression (2 papers). Wen Wei collaborates with scholars based in China, United States and South Africa. Wen Wei's co-authors include Gang Wang, Shuiyuan Cheng, Jianbing Li, Joseph Y.‐T. Leung, Binyou Wang, Wenjing Tian, Haitao Zhang, Spyros S. Magliveras, Rongsheng Luan and Zonglei Zhou and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Trends in Food Science & Technology.

In The Last Decade

Wen Wei

43 papers receiving 743 citations

Author Peers

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

Author						Papers	Cites
Wen Wei	93	80	78	74	61	45	759
Heling Wang	121 1.3×	116 1.4×	167 2.1×	20 0.3×	29 0.5×	48	709
Jeong-Ho Park	95 1.0×	78 1.0×	115 1.5×	4 0.1×	59 1.0×	77	866
Yan Sun	94 1.0×	57 0.7×	144 1.8×	6 0.1×	10 0.2×	59	871
Kenji Ueki	95 1.0×	42 0.5×	252 3.2×	14 0.2×	10 0.2×	58	708
Lu Cao	54 0.6×	50 0.6×	187 2.4×	9 0.1×	10 0.2×	39	720
Gerardo Heiss	65 0.7×	393 4.9×	62 0.8×	50 0.7×	17 0.3×	19	773
Liuxin Cui	146 1.6×	242 3.0×	178 2.3×	53 0.7×	6 0.1×	49	889
Guoping	65 0.7×	41 0.5×	75 1.0×	4 0.1×	19 0.3×	112	866
Mingan Yang	37 0.4×	153 1.9×	106 1.4×	5 0.1×	25 0.4×	36	736
Wensheng Hu	11 0.1×	203 2.5×	66 0.8×	9 0.1×	85 1.4×	57	885

Countries citing papers authored by Wen Wei

Since Specialization

Citations

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

Fields of papers citing papers by Wen Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Wei

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