Jiang Dai

29 total papers · 2.0k total citations
18 papers, 618 citations indexed

About

Jiang Dai is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Jiang Dai has authored 18 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Jiang Dai's work include Cardiomyopathy and Myosin Studies (4 papers), Ubiquitin and proteasome pathways (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Jiang Dai is often cited by papers focused on Cardiomyopathy and Myosin Studies (4 papers), Ubiquitin and proteasome pathways (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Jiang Dai collaborates with scholars based in China. Jiang Dai's co-authors include Xuemin Zhang, Tao Li, Hong Cai, Yi-Jiao Huang, Tao Zhou, Xin Liu, Ailing Li, Nan Song, Huiyan Li and Zhaofang Bai and has published in prestigious journals such as Nature Communications, Molecular Cell and Biochemical and Biophysical Research Communications.

In The Last Decade

Jiang Dai

17 papers receiving 615 citations

Author Peers

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

Author						Papers	Cites
Jiang Dai	442	219	112	102	66	18	618
Vivek Krishna Pulakazhi Venu	263 0.6×	283 1.3×	70 0.6×	100 1.0×	19 0.3×	19	675
Betsy Evans	211 0.5×	200 0.9×	49 0.4×	112 1.1×	92 1.4×	17	653
M. Mastronardi	315 0.7×	157 0.7×	83 0.7×	46 0.5×	20 0.3×	17	512
Jahaira Lopez‐Pastrana	337 0.8×	327 1.5×	40 0.4×	50 0.5×	51 0.8×	12	626
Mutsuko Nonaka‐Sarukawa	351 0.8×	82 0.4×	143 1.3×	84 0.8×	14 0.2×	12	659
Michaela Finsterbusch	104 0.2×	230 1.1×	59 0.5×	56 0.5×	36 0.5×	17	529
M. van der Heijden	180 0.4×	75 0.3×	155 1.4×	122 1.2×	59 0.9×	16	607
Yasushi Aihara	331 0.7×	50 0.2×	208 1.9×	80 0.8×	115 1.7×	17	669
Jan Mersmann	283 0.6×	179 0.8×	246 2.2×	66 0.6×	17 0.3×	27	653
Darrell Loeffler	130 0.3×	72 0.3×	245 2.2×	88 0.9×	60 0.9×	16	615

Countries citing papers authored by Jiang Dai

Since Specialization

Citations

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

Fields of papers citing papers by Jiang Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiang Dai

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