Wencong Dai

13 total papers · 623 total citations
9 papers, 413 citations indexed

About

Wencong Dai is a scholar working on Epidemiology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Wencong Dai has authored 9 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Oncology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Wencong Dai's work include Liver Disease Diagnosis and Treatment (3 papers), Diet, Metabolism, and Disease (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Wencong Dai is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), Diet, Metabolism, and Disease (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Wencong Dai collaborates with scholars based in China and United Kingdom. Wencong Dai's co-authors include Kunyuan Wang, Li Liu, Xiaohong Chen, Wenqing Zhang, Jinlin Hou, Hailong Sheng, Wanjun Zhang, Chuanhui Cao, Jingyuan Sun and Peitao Zhou and has published in prestigious journals such as Frontiers in Immunology, British Journal of Clinical Pharmacology and Journal for ImmunoTherapy of Cancer.

In The Last Decade

Wencong Dai

9 papers receiving 409 citations

Author Peers

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

Author						Papers	Cites
Wencong Dai	139	136	96	92	88	9	413
H Ohmori	114 0.8×	252 1.9×	127 1.3×	77 0.8×	35 0.4×	12	481
Mounes Aliyari Ghasebeh	71 0.5×	191 1.4×	141 1.5×	85 0.9×	33 0.4×	6	448
Sandra Huling	226 1.6×	205 1.5×	37 0.4×	60 0.7×	36 0.4×	13	491
J. Liu	86 0.6×	231 1.7×	133 1.4×	119 1.3×	29 0.3×	11	474
Ming–Heng Wu	75 0.5×	199 1.5×	55 0.6×	51 0.6×	61 0.7×	9	430
Kerry-Ann McDonald	153 1.1×	172 1.3×	27 0.3×	56 0.6×	121 1.4×	12	446
Elisavet Kodela	76 0.5×	104 0.8×	60 0.6×	123 1.3×	152 1.7×	15	489
Hao Wu	109 0.8×	163 1.2×	60 0.6×	95 1.0×	170 1.9×	16	493
Kam-Fai Lee	80 0.6×	184 1.4×	51 0.5×	55 0.6×	40 0.5×	9	390
Eleonora Liguori	174 1.3×	231 1.7×	64 0.7×	114 1.2×	29 0.3×	11	476

Countries citing papers authored by Wencong Dai

Since Specialization

Citations

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

Fields of papers citing papers by Wencong Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wencong Dai

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