Xin‐Qun Wang

25 total papers · 1.6k total citations
18 papers, 553 citations indexed

About

Xin‐Qun Wang is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Xin‐Qun Wang has authored 18 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Epidemiology. Recurrent topics in Xin‐Qun Wang's work include Neurotransmitter Receptor Influence on Behavior (4 papers), Genetic Associations and Epidemiology (3 papers) and Substance Abuse Treatment and Outcomes (3 papers). Xin‐Qun Wang is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (4 papers), Genetic Associations and Epidemiology (3 papers) and Substance Abuse Treatment and Outcomes (3 papers). Xin‐Qun Wang collaborates with scholars based in United States, Germany and Pakistan. Xin‐Qun Wang's co-authors include Sanjiv Kaul, Khim Leng Tong, Kevin Wei, Bankole A. Johnson, Todd Belcik, Ani Manichaikul, Stephen S. Rich, Michael A. Dawes, Nassima Ait‐Daoud and John D. Roache and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Xin‐Qun Wang

18 papers receiving 533 citations

Author Peers

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

Author						Papers	Cites
Xin‐Qun Wang	214	167	107	86	81	18	553
Bendicht Wagner	73 0.3×	121 0.7×	114 1.1×	53 0.6×	70 0.9×	23	685
In-Sook Park	129 0.6×	89 0.5×	215 2.0×	29 0.3×	58 0.7×	24	594
Robert Zanner	75 0.4×	58 0.3×	51 0.5×	97 1.1×	47 0.6×	23	635
Marjam G. Behar	80 0.4×	124 0.7×	46 0.4×	75 0.9×	48 0.6×	20	570
A. Westerlind	74 0.3×	201 1.2×	120 1.1×	139 1.6×	17 0.2×	22	520
Hans Friberg	142 0.7×	54 0.3×	37 0.3×	19 0.2×	70 0.9×	26	658
Axel Moysich	60 0.3×	183 1.1×	225 2.1×	32 0.4×	39 0.5×	21	583
M. Lindqvist	65 0.3×	188 1.1×	75 0.7×	38 0.4×	53 0.7×	23	659
W Schmidt	253 1.2×	161 1.0×	18 0.2×	19 0.2×	41 0.5×	38	526
Katsumi Irie	150 0.7×	47 0.3×	168 1.6×	20 0.2×	60 0.7×	23	562

Countries citing papers authored by Xin‐Qun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xin‐Qun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin‐Qun Wang. 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 Xin‐Qun Wang. The network helps show where Xin‐Qun Wang may publish in the future.

Co-authorship network of co-authors of Xin‐Qun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xin‐Qun Wang. A scholar is included among the top collaborators of Xin‐Qun Wang 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 Xin‐Qun Wang. Xin‐Qun Wang 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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