Shaohui Wang

83 total papers · 706 total citations
46 papers, 558 citations indexed

About

Shaohui Wang is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Shaohui Wang has authored 46 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 14 papers in Immunology and 11 papers in Infectious Diseases. Recurrent topics in Shaohui Wang's work include Herpesvirus Infections and Treatments (23 papers), Cytomegalovirus and herpesvirus research (13 papers) and Viral gastroenteritis research and epidemiology (8 papers). Shaohui Wang is often cited by papers focused on Herpesvirus Infections and Treatments (23 papers), Cytomegalovirus and herpesvirus research (13 papers) and Viral gastroenteritis research and epidemiology (8 papers). Shaohui Wang collaborates with scholars based in United States, China and Germany. Shaohui Wang's co-authors include Homayon Ghiasi, Ujjaldeep Jaggi, Harry H. Matundan, Xingmin Sun, Kevin R. Mott, Satoshi Hirose, Alexander V. Ljubimov, Duolong Zhu, Xingmin Sun and Yvonne L. Kapila and has published in prestigious journals such as Journal of Virology, Journal of Medicinal Chemistry and Science Advances.

In The Last Decade

Shaohui Wang

42 papers receiving 550 citations

Author Peers

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

Author						Papers	Cites
Shaohui Wang	243	159	121	109	51	46	558
R. S. Jayshree	225 0.9×	126 0.8×	107 0.9×	57 0.5×	65 1.3×	33	540
Eduard Ling	195 0.8×	159 1.0×	182 1.5×	54 0.5×	107 2.1×	29	571
Taha Reşid Özdemir	183 0.8×	276 1.7×	131 1.1×	138 1.3×	35 0.7×	44	585
Junping Li	175 0.7×	128 0.8×	186 1.5×	58 0.5×	21 0.4×	52	665
H Nagasawa	159 0.7×	201 1.3×	162 1.3×	33 0.3×	80 1.6×	43	660
Rita Káposzta	166 0.7×	212 1.3×	127 1.0×	177 1.6×	93 1.8×	19	583
Andrzej Szkaradkiewicz	160 0.7×	144 0.9×	91 0.8×	115 1.1×	46 0.9×	49	678
Mumin Ozturk	162 0.7×	182 1.1×	232 1.9×	180 1.7×	18 0.4×	36	573
Minoru Okamoto	160 0.7×	68 0.4×	122 1.0×	75 0.7×	30 0.6×	59	650
José Miguel Azevedo‐Pereira	159 0.7×	199 1.3×	202 1.7×	276 2.5×	25 0.5×	40	650

Countries citing papers authored by Shaohui Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shaohui Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohui Wang

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