Xinrui Wang

84 total papers · 626 total citations
48 papers, 364 citations indexed

About

Xinrui Wang is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Xinrui Wang has authored 48 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Molecular Biology. Recurrent topics in Xinrui Wang's work include Cerebrovascular and Carotid Artery Diseases (6 papers), Acute Ischemic Stroke Management (5 papers) and Respiratory viral infections research (4 papers). Xinrui Wang is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (6 papers), Acute Ischemic Stroke Management (5 papers) and Respiratory viral infections research (4 papers). Xinrui Wang collaborates with scholars based in China, United States and Hong Kong. Xinrui Wang's co-authors include Shujing Li, Wei Zhou, Yi Zhang, Yuan Li, Chenfei Wang, Dongsheng Bai, Zhuoling An, Yong Chen, Xin Wang and Benqiang Yang and has published in prestigious journals such as Analytical Chemistry, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Xinrui Wang

40 papers receiving 361 citations

Author Peers

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

Author						Papers	Cites
Xinrui Wang	88	60	41	36	29	48	364
Xiuqin Hong	75 0.9×	74 1.2×	27 0.7×	32 0.9×	35 1.2×	29	358
José Silva‐Nunes	69 0.8×	54 0.9×	31 0.8×	20 0.6×	60 2.1×	51	320
Aurore Gouraud	57 0.6×	41 0.7×	24 0.6×	26 0.7×	35 1.2×	38	381
Arif Duran	82 0.9×	42 0.7×	25 0.6×	30 0.8×	51 1.8×	45	342
Nirdesh Jain	78 0.9×	38 0.6×	40 1.0×	57 1.6×	59 2.0×	37	381
E. Knoll	42 0.5×	57 0.9×	42 1.0×	35 1.0×	41 1.4×	44	390
Ha Nee Jang	72 0.8×	67 1.1×	26 0.6×	87 2.4×	60 2.1×	50	392
Ilhamjaya Patellongi	99 1.1×	66 1.1×	28 0.7×	30 0.8×	31 1.1×	63	396
Mei Jing	127 1.4×	89 1.5×	20 0.5×	34 0.9×	44 1.5×	25	389
Gábor Winkler	95 1.1×	31 0.5×	42 1.0×	21 0.6×	28 1.0×	29	295

Countries citing papers authored by Xinrui Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xinrui Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinrui Wang

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