Zhongkai Wang

76 total papers · 1.6k total citations
37 papers, 879 citations indexed

About

Zhongkai Wang is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Zhongkai Wang has authored 37 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 10 papers in Critical Care and Intensive Care Medicine and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Zhongkai Wang's work include Sepsis Diagnosis and Treatment (11 papers), Intensive Care Unit Cognitive Disorders (9 papers) and Cold Atom Physics and Bose-Einstein Condensates (5 papers). Zhongkai Wang is often cited by papers focused on Sepsis Diagnosis and Treatment (11 papers), Intensive Care Unit Cognitive Disorders (9 papers) and Cold Atom Physics and Bose-Einstein Condensates (5 papers). Zhongkai Wang collaborates with scholars based in United States, China and Singapore. Zhongkai Wang's co-authors include Frederick A. Moore, Scott C. Brakenridge, Philip A. Efron, Lyle L. Moldawer, Gabriela Ghita, Babette Brumback, Steven L. Raymond, Azra Bihorac, Julie A. Stortz and Tezcan Ozrazgat‐Baslanti and has published in prestigious journals such as Annals of Surgery, Scientific Reports and The FASEB Journal.

In The Last Decade

Zhongkai Wang

36 papers receiving 871 citations

Author Peers

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

Author						Papers	Cites
Zhongkai Wang	354	298	179	155	118	37	879
Russell B. Hawkins	303 0.9×	245 0.8×	127 0.7×	159 1.0×	177 1.5×	32	954
Michael J. O’Dwyer	341 1.0×	198 0.7×	129 0.7×	131 0.8×	174 1.5×	40	1.0k
Scott K. Aberegg	261 0.7×	145 0.5×	161 0.9×	78 0.5×	60 0.5×	28	861
Sarah J. Beesley	315 0.9×	361 1.2×	113 0.6×	177 1.1×	80 0.7×	35	983
Faheem W. Guirgis	539 1.5×	174 0.6×	146 0.8×	110 0.7×	81 0.7×	61	938
Markos Kashiouris	255 0.7×	180 0.6×	170 0.9×	115 0.7×	49 0.4×	38	832
Nicolas Lerolle	194 0.5×	142 0.5×	93 0.5×	82 0.5×	101 0.9×	31	745
Bernardo Bollen Pinto	227 0.6×	198 0.7×	131 0.7×	185 1.2×	54 0.5×	61	827
Brian Mullan	182 0.5×	159 0.5×	230 1.3×	142 0.9×	64 0.5×	22	856
Simon Lambden	383 1.1×	151 0.5×	134 0.7×	155 1.0×	80 0.7×	24	1.0k

Countries citing papers authored by Zhongkai Wang

Since Specialization

Citations

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

Fields of papers citing papers by Zhongkai Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongkai Wang

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