Shaojun Wen

95 total papers · 1.1k total citations
51 papers, 841 citations indexed

About

Shaojun Wen is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Shaojun Wen has authored 51 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 20 papers in Cardiology and Cardiovascular Medicine and 18 papers in Molecular Biology. Recurrent topics in Shaojun Wen's work include Hormonal Regulation and Hypertension (17 papers), Blood Pressure and Hypertension Studies (10 papers) and Renin-Angiotensin System Studies (6 papers). Shaojun Wen is often cited by papers focused on Hormonal Regulation and Hypertension (17 papers), Blood Pressure and Hypertension Studies (10 papers) and Renin-Angiotensin System Studies (6 papers). Shaojun Wen collaborates with scholars based in China, United States and United Kingdom. Shaojun Wen's co-authors include Ya Liu, Zuoguang Wang, Jielin Liu, Yanhong Guo, Dongmei Yang, Jian Tang, Xiaoyan Qiu, Kuang‐Hueih Chen, Xiaomei Guo and Rui‐Ping Xiao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nature Cell Biology.

In The Last Decade

Shaojun Wen

50 papers receiving 825 citations

Author Peers

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

Author						Papers	Cites
Shaojun Wen	487	200	118	108	85	51	841
Sungmi Park	394 0.8×	196 1.0×	139 1.2×	174 1.6×	79 0.9×	38	1.0k
S A Mohammed	461 0.9×	204 1.0×	130 1.1×	84 0.8×	66 0.8×	54	817
Leighton R. James	471 1.0×	118 0.6×	130 1.1×	169 1.6×	79 0.9×	38	962
Ying Su	416 0.9×	118 0.6×	144 1.2×	120 1.1×	123 1.4×	56	980
Walter Rodríguez	306 0.6×	195 1.0×	103 0.9×	71 0.7×	73 0.9×	45	911
Kátia Gonçalves dos Santos	316 0.6×	244 1.2×	147 1.2×	172 1.6×	74 0.9×	44	1.0k
Chao‐Sheng Lo	419 0.9×	194 1.0×	78 0.7×	247 2.3×	54 0.6×	34	866
Hongxia Yang	450 0.9×	146 0.7×	66 0.6×	61 0.6×	68 0.8×	53	975
Songtao Tang	321 0.7×	260 1.3×	119 1.0×	203 1.9×	118 1.4×	64	968
Bertrand Toutain	440 0.9×	177 0.9×	328 2.8×	112 1.0×	49 0.6×	42	946

Countries citing papers authored by Shaojun Wen

Since Specialization

Citations

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

Fields of papers citing papers by Shaojun Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Wen

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