Shiwei Wang

33 total papers · 542 total citations
18 papers, 444 citations indexed

About

Shiwei Wang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cell Biology. According to data from OpenAlex, Shiwei Wang has authored 18 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Cell Biology. Recurrent topics in Shiwei Wang's work include Extracellular vesicles in disease (3 papers), Reproductive Biology and Fertility (2 papers) and Ginseng Biological Effects and Applications (2 papers). Shiwei Wang is often cited by papers focused on Extracellular vesicles in disease (3 papers), Reproductive Biology and Fertility (2 papers) and Ginseng Biological Effects and Applications (2 papers). Shiwei Wang collaborates with scholars based in China, United States and Denmark. Shiwei Wang's co-authors include Melitta Schachner, Ralf Kleene, Gabriele Loers, Fabio Benfenati, Friedrich Buck, Michaela Schweizer, Fabrizia Cesca, Xi Gao, Wanqin Zhang and Chunqing Liu and has published in prestigious journals such as Journal of Neuroscience, ACS Nano and Free Radical Biology and Medicine.

In The Last Decade

Shiwei Wang

16 papers receiving 441 citations

Author Peers

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

Author						Papers	Cites
Shiwei Wang	360	138	62	35	33	18	444
Hu Y	189 0.5×	90 0.7×	86 1.4×	28 0.8×	35 1.1×	23	376
Yanjie Jia	229 0.6×	117 0.8×	66 1.1×	21 0.6×	33 1.0×	20	403
Shufang Cai	261 0.7×	57 0.4×	51 0.8×	22 0.6×	35 1.1×	28	494
Yanmin Song	199 0.6×	102 0.7×	36 0.6×	52 1.5×	48 1.5×	30	423
Miaomiao Tian	184 0.5×	68 0.5×	41 0.7×	21 0.6×	64 1.9×	27	450
Ariel Díaz	222 0.6×	129 0.9×	53 0.9×	31 0.9×	59 1.8×	21	476
Carme Gubern	214 0.6×	87 0.6×	51 0.8×	28 0.8×	37 1.1×	22	422
Zixuan Chen	205 0.6×	125 0.9×	28 0.5×	39 1.1×	36 1.1×	26	387
Philippe M. D’Onofrio	304 0.8×	61 0.4×	70 1.1×	36 1.0×	113 3.4×	18	475
Hyo Sang Jo	270 0.8×	49 0.4×	40 0.6×	31 0.9×	47 1.4×	23	457

Countries citing papers authored by Shiwei Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shiwei Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiwei Wang

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