Weiying Wang

61 total papers · 475 total citations
39 papers, 350 citations indexed

About

Weiying Wang is a scholar working on Biomedical Engineering, Molecular Biology and Pharmacology. According to data from OpenAlex, Weiying Wang has authored 39 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Molecular Biology and 4 papers in Pharmacology. Recurrent topics in Weiying Wang's work include Renal Transplantation Outcomes and Treatments (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Biological and pharmacological studies of plants (3 papers). Weiying Wang is often cited by papers focused on Renal Transplantation Outcomes and Treatments (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Biological and pharmacological studies of plants (3 papers). Weiying Wang collaborates with scholars based in China, United States and Norway. Weiying Wang's co-authors include Frank A. Corvino, Junxing Yang, Xiao‐Yong Chen, Jingguo Li, Lan‐Ping Zheng, Jun Shi, Sumit Mohan, Shaokui Cao, Kristen L. King and Feride Frech and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Blood.

In The Last Decade

Weiying Wang

39 papers receiving 337 citations

Author Peers

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

Author Last Decade Papers Cites
Weiying Wang 73 44 40 33 33 39 350
Ernest S. Fung 67 0.9× 81 1.8× 11 0.3× 4 0.1× 22 0.7× 39 356
Sun 108 1.5× 31 0.7× 11 0.3× 2 0.1× 58 1.8× 25 386
Braun 67 0.9× 29 0.7× 9 0.2× 4 0.1× 90 2.7× 23 375
H. P. Keller 75 1.0× 59 1.3× 45 1.1× 2 0.1× 53 1.6× 24 371
Michelle Thunders 112 1.5× 39 0.9× 3 0.1× 32 1.0× 8 0.2× 39 394
Chunhua Sun 92 1.3× 32 0.7× 3 0.1× 12 0.4× 39 1.2× 33 329
Daniel Merkel 68 0.9× 49 1.1× 3 0.1× 2 0.1× 23 0.7× 30 400
A. G. P. Brown 25 0.3× 124 2.8× 12 0.3× 6 0.2× 22 0.7× 29 402
Yang Yang 54 0.7× 37 0.8× 24 0.6× 4 0.1× 6 0.2× 31 391
Heng Gu 60 0.8× 37 0.8× 16 0.5× 22 0.7× 38 382

Countries citing papers authored by Weiying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weiying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiying Wang

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