Shaokang Ren

26 total papers · 807 total citations
21 papers, 642 citations indexed

About

Shaokang Ren is a scholar working on Molecular Biology, Biomedical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Shaokang Ren has authored 21 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Biomedical Engineering and 5 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Shaokang Ren's work include Advanced biosensing and bioanalysis techniques (16 papers), Plasmonic and Surface Plasmon Research (6 papers) and Gold and Silver Nanoparticles Synthesis and Applications (5 papers). Shaokang Ren is often cited by papers focused on Advanced biosensing and bioanalysis techniques (16 papers), Plasmonic and Surface Plasmon Research (6 papers) and Gold and Silver Nanoparticles Synthesis and Applications (5 papers). Shaokang Ren collaborates with scholars based in China and United States. Shaokang Ren's co-authors include Jie Chao, Dan Zhu, Lianhui Wang, Xing Wang, Shao Su, Fuming Zhang, Lili Kuo, Paul S. Kwon, Keith Fraser and Robert J. Linhardt and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Shaokang Ren

20 papers receiving 636 citations

Hit Papers

Designer DNA architecture... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Shaokang Ren 485 301 126 125 58 21 642
Feng Zhou 534 1.1× 280 0.9× 52 0.4× 71 0.6× 35 0.6× 18 634
Megan E. Kizer 548 1.1× 306 1.0× 95 0.8× 54 0.4× 49 0.8× 19 759
Shih‐Chung Wei 420 0.9× 413 1.4× 68 0.5× 87 0.7× 61 1.1× 20 611
Letha J. Sooter 451 0.9× 277 0.9× 94 0.7× 80 0.6× 59 1.0× 22 562
Laibao Zheng 439 0.9× 347 1.2× 46 0.4× 231 1.8× 63 1.1× 31 637
Junman Chen 639 1.3× 449 1.5× 55 0.4× 122 1.0× 47 0.8× 21 747
Jeffrey C. F. Lam 655 1.4× 323 1.1× 173 1.4× 209 1.7× 36 0.6× 9 747
Yao-Chen Chuang 342 0.7× 454 1.5× 64 0.5× 143 1.1× 53 0.9× 21 666
Chandreyee Manas Das 320 0.7× 248 0.8× 136 1.1× 94 0.8× 76 1.3× 31 667
Nayoung Kim 471 1.0× 223 0.7× 84 0.7× 144 1.2× 16 0.3× 13 622

Countries citing papers authored by Shaokang Ren

Since Specialization
Citations

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

Fields of papers citing papers by Shaokang Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaokang Ren

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