Shikun Dai

24 total papers · 690 total citations
23 papers, 538 citations indexed

About

Shikun Dai is a scholar working on Molecular Biology, Biotechnology and Pharmacology. According to data from OpenAlex, Shikun Dai has authored 23 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Biotechnology and 10 papers in Pharmacology. Recurrent topics in Shikun Dai's work include Genomics and Phylogenetic Studies (13 papers), Microbial Natural Products and Biosynthesis (10 papers) and Microbial Community Ecology and Physiology (9 papers). Shikun Dai is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Microbial Natural Products and Biosynthesis (10 papers) and Microbial Community Ecology and Physiology (9 papers). Shikun Dai collaborates with scholars based in China and South Korea. Shikun Dai's co-authors include Guanghua Wang, Xiang Li, Wenzhou Xiang, Wei Sun, Hualian Wu, Tao Li, Houbo Wu, Lianwu Xie, Long Zhang and Yonghong Liu and has published in prestigious journals such as Bioresource Technology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Marine Biology.

In The Last Decade

Shikun Dai

23 papers receiving 524 citations

Author Peers

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

Author						Papers	Cites
Shikun Dai	233	194	169	164	106	23	538
Bjørn Altermark	311 1.3×	49 0.3×	92 0.5×	38 0.2×	126 1.2×	33	514
Houbo Wu	126 0.5×	68 0.4×	47 0.3×	218 1.3×	54 0.5×	33	459
Zhiwei Yi	222 1.0×	116 0.6×	182 1.1×	15 0.1×	77 0.7×	35	448
Tânia Keiko Shishido	140 0.6×	136 0.7×	93 0.6×	152 0.9×	116 1.1×	20	528
W. T. Blevins	176 0.8×	44 0.2×	63 0.4×	56 0.3×	62 0.6×	25	530
Camille Jégou	177 0.8×	89 0.5×	107 0.6×	58 0.4×	93 0.9×	14	511
Shi-gang Shen	214 0.9×	37 0.2×	33 0.2×	178 1.1×	22 0.2×	19	523
Takanori Nishida	340 1.5×	35 0.2×	30 0.2×	74 0.5×	60 0.6×	17	455
Annabella Tramice	328 1.4×	55 0.3×	282 1.7×	17 0.1×	49 0.5×	39	613
Dana Ulanová	291 1.2×	251 1.3×	80 0.5×	21 0.1×	63 0.6×	24	529

Countries citing papers authored by Shikun Dai

Since Specialization

Citations

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

Fields of papers citing papers by Shikun Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikun Dai

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