Qing Dai

92 total papers · 980 total citations
46 papers, 713 citations indexed

About

Qing Dai is a scholar working on Surgery, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Qing Dai has authored 46 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Pediatrics, Perinatology and Child Health and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Qing Dai's work include Ectopic Pregnancy Diagnosis and Management (6 papers), Ovarian cancer diagnosis and treatment (5 papers) and Renal and Vascular Pathologies (4 papers). Qing Dai is often cited by papers focused on Ectopic Pregnancy Diagnosis and Management (6 papers), Ovarian cancer diagnosis and treatment (5 papers) and Renal and Vascular Pathologies (4 papers). Qing Dai collaborates with scholars based in China, United States and Singapore. Qing Dai's co-authors include Yuxin Jiang, Qingli Zhu, Ke Lv, Qiang Sun, He Liu, Liang Wang, Yu Xia, Xiaohong Chen, Ji‐Bin Liu and Xuemei Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Qing Dai

42 papers receiving 699 citations

Author Peers

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

Author						Papers	Cites
Qing Dai	258	181	159	147	90	46	713
Knut Brabrand	246 1.0×	204 1.1×	295 1.9×	148 1.0×	75 0.8×	44	768
Xuehong Diao	240 0.9×	138 0.8×	145 0.9×	140 1.0×	75 0.8×	38	715
Jianchu Li	222 0.9×	158 0.9×	186 1.2×	149 1.0×	81 0.9×	60	680
Ah Young Park	479 1.9×	239 1.3×	178 1.1×	96 0.7×	140 1.6×	50	837
Sarah Alessi	308 1.2×	151 0.8×	174 1.1×	247 1.7×	31 0.3×	42	849
Heon Han	207 0.8×	54 0.3×	240 1.5×	168 1.1×	72 0.8×	54	793
J.M. Corréas	286 1.1×	209 1.2×	259 1.6×	251 1.7×	40 0.4×	53	831
Kazuhiro Shimamoto	302 1.2×	77 0.4×	336 2.1×	165 1.1×	77 0.9×	44	822
Maxime Barat	256 1.0×	85 0.5×	295 1.9×	167 1.1×	26 0.3×	93	788
Lianfang Du	317 1.2×	232 1.3×	169 1.1×	144 1.0×	37 0.4×	63	755

Countries citing papers authored by Qing Dai

Since Specialization

Citations

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

Fields of papers citing papers by Qing Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Dai

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