Shaojun Mei

19 total papers · 581 total citations
7 papers, 421 citations indexed

About

Shaojun Mei is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Shaojun Mei has authored 7 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biochemistry, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Molecular Biology. Recurrent topics in Shaojun Mei's work include Eicosanoids and Hypertension Pharmacology (6 papers), Hormonal Regulation and Hypertension (4 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Shaojun Mei is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (6 papers), Hormonal Regulation and Hypertension (4 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Shaojun Mei collaborates with scholars based in United States. Shaojun Mei's co-authors include Jorge H. Capdevila, Frederick F. Kao, M. Kalia, John R. Falck, Ambra Pozzi, Shilin Yang, Shouzuo Wei, Raymond C. Harris, Yan Gong and Nataliya Pidkovka and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Journal of the American Society of Nephrology.

In The Last Decade

Shaojun Mei

7 papers receiving 414 citations

Author Peers

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

Author						Papers	Cites
Shaojun Mei	204	142	126	93	83	7	421
Frank Fan Zhang	183 0.9×	146 1.0×	155 1.2×	82 0.9×	41 0.5×	7	415
Benjamin Keserü	167 0.8×	109 0.8×	123 1.0×	34 0.4×	27 0.3×	7	455
Marija Renić	274 1.3×	66 0.5×	125 1.0×	54 0.6×	20 0.2×	15	438
Xin Wei	220 1.1×	160 1.1×	111 0.9×	44 0.5×	88 1.1×	14	467
Eduard N. Lavrentyev	51 0.3×	184 1.3×	119 0.9×	141 1.5×	28 0.3×	11	428
Alessandra Cosma	43 0.2×	158 1.1×	139 1.1×	60 0.6×	24 0.3×	6	490
Yuenmu Chen	152 0.7×	297 2.1×	90 0.7×	91 1.0×	23 0.3×	10	477
Judy A Klaus	103 0.5×	100 0.7×	217 1.7×	22 0.2×	28 0.3×	5	466
Mahesha Gangadhariah	94 0.5×	200 1.4×	69 0.5×	25 0.3×	55 0.7×	14	431
Christiane Legendre	58 0.3×	305 2.1×	73 0.6×	29 0.3×	29 0.3×	6	487

Countries citing papers authored by Shaojun Mei

Since Specialization

Citations

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

Fields of papers citing papers by Shaojun Mei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Mei

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