Weijun Shen

94 total papers · 3.0k total citations
75 papers, 1.6k citations indexed

About

Weijun Shen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, Weijun Shen has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 14 papers in Endocrinology, Diabetes and Metabolism and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Weijun Shen's work include Diabetes Treatment and Management (11 papers), Neuropeptides and Animal Physiology (11 papers) and Chemical Synthesis and Analysis (11 papers). Weijun Shen is often cited by papers focused on Diabetes Treatment and Management (11 papers), Neuropeptides and Animal Physiology (11 papers) and Chemical Synthesis and Analysis (11 papers). Weijun Shen collaborates with scholars based in United States, China and Switzerland. Weijun Shen's co-authors include Peter G. Schultz, Hui‐wang Ai, David B. Berkowitz, Peng R. Chen, Huafei Zou, Amit Sagi, Pengyu Yang, Eric M. Brustad, Xuan Zhao and Zhenyu Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Weijun Shen

69 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Weijun Shen 893 434 153 144 135 75 1.6k
Søren L. Pedersen 1.3k 1.5× 269 0.6× 123 0.8× 124 0.9× 145 1.1× 81 2.3k
Hongfei Jiang 915 1.0× 149 0.3× 83 0.5× 134 0.9× 69 0.5× 95 2.3k
Daisuke Yamamoto 934 1.0× 217 0.5× 141 0.9× 130 0.9× 117 0.9× 144 2.1k
Koichi Fujimoto 962 1.1× 316 0.7× 46 0.3× 105 0.7× 41 0.3× 113 2.3k
Tomohiro Tanaka 1.0k 1.1× 258 0.6× 39 0.3× 75 0.5× 221 1.6× 152 2.2k
Cailin Chen 745 0.8× 171 0.4× 96 0.6× 82 0.6× 22 0.2× 39 1.9k
Sungmun Lee 676 0.8× 155 0.4× 123 0.8× 111 0.8× 83 0.6× 69 2.0k
Jinying Chen 626 0.7× 632 1.5× 41 0.3× 41 0.3× 81 0.6× 134 1.9k
Sangsoo Kim 1.2k 1.3× 137 0.3× 55 0.4× 70 0.5× 209 1.5× 73 2.3k
Xuejun Liu 766 0.9× 166 0.4× 53 0.3× 44 0.3× 37 0.3× 90 2.0k

Countries citing papers authored by Weijun Shen

Since Specialization
Citations

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

Fields of papers citing papers by Weijun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijun Shen

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