Dahua Zhang

80 total papers · 1.0k total citations
29 papers, 753 citations indexed

About

Dahua Zhang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Dahua Zhang has authored 29 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Dahua Zhang's work include Cardiomyopathy and Myosin Studies (5 papers), Lymphoma Diagnosis and Treatment (3 papers) and Cardiovascular Effects of Exercise (3 papers). Dahua Zhang is often cited by papers focused on Cardiomyopathy and Myosin Studies (5 papers), Lymphoma Diagnosis and Treatment (3 papers) and Cardiovascular Effects of Exercise (3 papers). Dahua Zhang collaborates with scholars based in United States, China and Saudi Arabia. Dahua Zhang's co-authors include Lee Chang, Zhan Xu, YeQing Pi, Jeffery W. Walker, Evangelia G. Kranias, Hao Wang, Darl R. Swartz, Rodney A. Rhoades, Najia Jin and Andreas Friedl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Circulation Research and The Journal of Physiology.

In The Last Decade

Dahua Zhang

25 papers receiving 741 citations

Author Peers

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

Author						Papers	Cites
Dahua Zhang	314	224	188	57	46	29	753
Koichi Nagasaki	98 0.3×	54 0.2×	364 1.9×	65 1.1×	32 0.7×	31	805
Kimito Kondo	194 0.6×	159 0.7×	45 0.2×	20 0.4×	108 2.3×	36	841
Sheng Wang	62 0.2×	16 0.1×	458 2.4×	119 2.1×	31 0.7×	17	830
Shunsuke Teraguchi	162 0.5×	11 0.0×	294 1.6×	53 0.9×	15 0.3×	33	678
S Ozaki	83 0.3×	22 0.1×	327 1.7×	47 0.8×	28 0.6×	15	910
Wenjun Yang	52 0.2×	24 0.1×	353 1.9×	72 1.3×	5 0.1×	25	819
Yi Chen	192 0.6×	11 0.0×	243 1.3×	41 0.7×	5 0.1×	30	669
Mauro Tambasco	35 0.1×	106 0.5×	89 0.5×	29 0.5×	11 0.2×	39	709
Ann Y. Lee	37 0.1×	36 0.2×	122 0.6×	10 0.2×	41 0.9×	50	817
Tomáš Procházka	111 0.4×	21 0.1×	142 0.8×	21 0.4×	6 0.1×	37	857

Countries citing papers authored by Dahua Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Dahua Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dahua Zhang

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