Peng Dai

59 total papers · 406 total citations
34 papers, 270 citations indexed

About

Peng Dai is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Genetics. According to data from OpenAlex, Peng Dai has authored 34 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pediatrics, Perinatology and Child Health, 10 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Peng Dai's work include Prenatal Screening and Diagnostics (14 papers), Fetal and Pediatric Neurological Disorders (7 papers) and Genomic variations and chromosomal abnormalities (7 papers). Peng Dai is often cited by papers focused on Prenatal Screening and Diagnostics (14 papers), Fetal and Pediatric Neurological Disorders (7 papers) and Genomic variations and chromosomal abnormalities (7 papers). Peng Dai collaborates with scholars based in China, United States and Hong Kong. Peng Dai's co-authors include Xiangdong Kong, Xiaodong Jiang, Jin Wu, Ping Liang, Qin Wang, Wei Wang, Han Bao, Xiaofan Zhu, Jinming Yu and Kwong Wai Choy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Communications and International Journal of Molecular Sciences.

In The Last Decade

Peng Dai

29 papers receiving 262 citations

Author Peers

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

Author						Papers	Cites
Peng Dai	105	99	77	44	27	34	270
Renius Owen	91 0.9×	130 1.3×	139 1.8×	16 0.4×	12 0.4×	23	328
Michele Kiernan	54 0.5×	122 1.2×	25 0.3×	27 0.6×	12 0.4×	18	303
Ivana Joksić	72 0.7×	153 1.5×	53 0.7×	62 1.4×	5 0.2×	38	319
Alessia Azzarà	42 0.4×	125 1.3×	66 0.9×	36 0.8×	20 0.7×	36	291
Zeynep Ocak	46 0.4×	117 1.2×	45 0.6×	16 0.4×	10 0.4×	28	264
C. Méndez	98 0.9×	74 0.7×	76 1.0×	20 0.5×	15 0.6×	27	281
Menghua Wu	29 0.3×	52 0.5×	44 0.6×	23 0.5×	11 0.4×	34	190
Junjie Li	164 1.6×	81 0.8×	135 1.8×	15 0.3×	14 0.5×	20	298
Osamu Miyoshi	74 0.7×	176 1.8×	116 1.5×	16 0.4×	11 0.4×	22	278
Ran Gao	33 0.3×	250 2.5×	53 0.7×	73 1.7×	26 1.0×	31	326

Countries citing papers authored by Peng Dai

Since Specialization

Citations

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

Fields of papers citing papers by Peng Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Dai

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