Min Dai

100 total papers · 1.4k total citations
61 papers, 829 citations indexed

About

Min Dai is a scholar working on Molecular Biology, Food Science and Pharmacology. According to data from OpenAlex, Min Dai has authored 61 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Food Science and 9 papers in Pharmacology. Recurrent topics in Min Dai's work include Antibiotic Resistance in Bacteria (9 papers), Essential Oils and Antimicrobial Activity (9 papers) and Spine and Intervertebral Disc Pathology (5 papers). Min Dai is often cited by papers focused on Antibiotic Resistance in Bacteria (9 papers), Essential Oils and Antimicrobial Activity (9 papers) and Spine and Intervertebral Disc Pathology (5 papers). Min Dai collaborates with scholars based in China, United States and Egypt. Min Dai's co-authors include Cheng Peng, Guo‐Bao Tian, Lin Lin, Min Qiu, Lan‐Lan Zhong, Huaqiao Tang, Wei Ouyang, Yong Xia, Mohamed Abd El-Gawad El-Sayed Ahmed and Liping Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Journal of Colloid and Interface Science.

In The Last Decade

Min Dai

59 papers receiving 818 citations

Author Peers

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

Author						Papers	Cites
Min Dai	293	182	127	123	112	61	829
Hisham N. Altayb	291 1.0×	205 1.1×	120 0.9×	136 1.1×	98 0.9×	90	905
Nima Hosseini Jazani	259 0.9×	107 0.6×	149 1.2×	142 1.2×	107 1.0×	63	941
Anusri Tripathi�	326 1.1×	152 0.8×	116 0.9×	172 1.4×	60 0.5×	46	879
Florin George Horhat	193 0.7×	122 0.7×	217 1.7×	93 0.8×	198 1.8×	86	933
Se Eun Park	170 0.6×	139 0.8×	200 1.6×	131 1.1×	78 0.7×	45	790
Naser Alizadeh	246 0.8×	151 0.8×	200 1.6×	128 1.0×	133 1.2×	34	963
Yong‐Bin Eom	387 1.3×	88 0.5×	117 0.9×	96 0.8×	78 0.7×	68	750
Jinliang Kong	567 1.9×	155 0.9×	102 0.8×	82 0.7×	74 0.7×	53	1.0k
Hong Huang	460 1.6×	118 0.6×	67 0.5×	44 0.4×	79 0.7×	35	887
Hamed Ebrahimzadeh Leylabadlo	459 1.6×	140 0.8×	127 1.0×	151 1.2×	145 1.3×	53	943

Countries citing papers authored by Min Dai

Since Specialization

Citations

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

Fields of papers citing papers by Min Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Dai

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