Ruining Wang

30 total papers · 465 total citations
22 papers, 311 citations indexed

About

Ruining Wang is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Ruining Wang has authored 22 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Infectious Diseases. Recurrent topics in Ruining Wang's work include Immune Cell Function and Interaction (6 papers), Tuberculosis Research and Epidemiology (3 papers) and Immune Response and Inflammation (3 papers). Ruining Wang is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Tuberculosis Research and Epidemiology (3 papers) and Immune Response and Inflammation (3 papers). Ruining Wang collaborates with scholars based in China, United States and Netherlands. Ruining Wang's co-authors include Jiahui Yang, Li Ma, Qian Wen, Wenjing Xiong, Jinli Wang, Sophia Allaf Shahin, Thanh H. Dellinger, Carlotta A. Glackin, James Finlay and Wei Wen and has published in prestigious journals such as The Journal of Experimental Medicine, Environmental Science & Technology and Brain.

In The Last Decade

Ruining Wang

21 papers receiving 310 citations

Author Peers

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

Author						Papers	Cites
Ruining Wang	110	79	44	42	38	22	311
Xuetao Zhao	120 1.1×	26 0.3×	19 0.4×	18 0.4×	13 0.3×	21	351
Lingxiao Chen	133 1.2×	33 0.4×	49 1.1×	12 0.3×	7 0.2×	19	358
Yiwu Yan	84 0.8×	46 0.6×	42 1.0×	95 2.3×	10 0.3×	16	362
Qian Lu	118 1.1×	79 1.0×	55 1.3×	4 0.1×	44 1.2×	21	347
Yunting Zhang	147 1.3×	35 0.4×	35 0.8×	24 0.6×	4 0.1×	26	309
Xiaona Sun	87 0.8×	74 0.9×	56 1.3×	27 0.6×	1 0.0×	18	248
Liyang Wang	160 1.5×	41 0.5×	31 0.7×	29 0.7×	11 0.3×	26	356
Ying Zhang	59 0.5×	34 0.4×	22 0.5×	51 1.2×	3 0.1×	15	297
Markus Haake	60 0.5×	70 0.9×	48 1.1×	10 0.2×	2 0.1×	15	249
Siqi Cheng	110 1.0×	27 0.3×	50 1.1×	14 0.3×	3 0.1×	24	278

Countries citing papers authored by Ruining Wang

Since Specialization

Citations

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

Fields of papers citing papers by Ruining Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruining Wang

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