Jin‐Rui Dai

17 total papers · 956 total citations
17 papers, 731 citations indexed

About

Jin‐Rui Dai is a scholar working on Molecular Biology, Organic Chemistry and Biochemistry. According to data from OpenAlex, Jin‐Rui Dai has authored 17 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Organic Chemistry and 4 papers in Biochemistry. Recurrent topics in Jin‐Rui Dai's work include Traditional and Medicinal Uses of Annonaceae (4 papers), Natural product bioactivities and synthesis (4 papers) and Marine Sponges and Natural Products (3 papers). Jin‐Rui Dai is often cited by papers focused on Traditional and Medicinal Uses of Annonaceae (4 papers), Natural product bioactivities and synthesis (4 papers) and Marine Sponges and Natural Products (3 papers). Jin‐Rui Dai collaborates with scholars based in United States, Singapore and Indonesia. Jin‐Rui Dai's co-authors include Michael R. Boyd, John H. Cardellina, Yali F. Hallock, Brad Carté, Siew Bee Ng, Yicun Huang, Philip J. Sidebottom, Mark S. Butler, Peter R. Redden and A. Douglas Kinghorn and has published in prestigious journals such as Analytical Chemistry, Journal of Medicinal Chemistry and Journal of Chromatography A.

In The Last Decade

Jin‐Rui Dai

17 papers receiving 698 citations

Author Peers

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

Author Last Decade Papers Cites
Jin‐Rui Dai 324 234 147 134 107 17 731
Matt G. Goering 471 1.5× 115 0.5× 170 1.2× 211 1.6× 52 0.5× 27 759
Xavier Cachet 298 0.9× 275 1.2× 99 0.7× 114 0.9× 94 0.9× 32 730
Kenneth L. Stuart 332 1.0× 188 0.8× 129 0.9× 134 1.0× 182 1.7× 35 679
Carmen Lúcia Cardoso 407 1.3× 215 0.9× 276 1.9× 116 0.9× 65 0.6× 51 903
Albert T. Sneden 447 1.4× 208 0.9× 154 1.0× 279 2.1× 61 0.6× 47 901
Hye‐Dong Yoo 340 1.0× 140 0.6× 152 1.0× 113 0.8× 96 0.9× 25 708
Koppaka V. Rao 424 1.3× 264 1.1× 189 1.3× 174 1.3× 62 0.6× 50 880
Marco Tatò 488 1.5× 207 0.9× 59 0.4× 59 0.4× 61 0.6× 30 845
Ngoc B. Pham 324 1.0× 143 0.6× 185 1.3× 41 0.3× 52 0.5× 22 686
Kongkai Zhu 471 1.5× 199 0.9× 219 1.5× 108 0.8× 70 0.7× 57 886

Countries citing papers authored by Jin‐Rui Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Rui Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Rui Dai. 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 Jin‐Rui Dai. The network helps show where Jin‐Rui Dai may publish in the future.

Co-authorship network of co-authors of Jin‐Rui Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Rui Dai. A scholar is included among the top collaborators of Jin‐Rui Dai 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 Jin‐Rui Dai. Jin‐Rui Dai 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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