Weixing Yang

798 total citations
8 papers, 420 citations indexed

About

Weixing Yang is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases and Cellular and Molecular Neuroscience. According to data from OpenAlex, Weixing Yang has authored 8 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 2 papers in Infectious Diseases and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Weixing Yang's work include Viral Infections and Immunology Research (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). Weixing Yang is often cited by papers focused on Viral Infections and Immunology Research (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). Weixing Yang collaborates with scholars based in United States, Japan and China. Weixing Yang's co-authors include Akio Nomoto, Eiji Terada, Seii Ohka, Kazuko Shiroki, Shuichi Tanabe, Tatsuji Nomura, Yuichi Sugiyama, Junken Aoki, Tetsuya Terasaki and Lee Walus and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Biochemistry.

In The Last Decade

Weixing Yang

7 papers receiving 412 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Weixing Yang United States 7 162 160 124 64 60 8 420
J. Robert Chang United States 7 201 1.2× 82 0.5× 57 0.5× 130 2.0× 35 0.6× 12 538
Hiroto Yamamoto Japan 13 216 1.3× 52 0.3× 47 0.4× 130 2.0× 51 0.8× 32 610
Yasuko Yamashita Japan 6 183 1.1× 367 2.3× 232 1.9× 50 0.8× 27 0.5× 8 542
Nari Kim South Korea 14 290 1.8× 57 0.4× 32 0.3× 130 2.0× 54 0.9× 33 625
Nishi Sharma United States 15 359 2.2× 32 0.2× 125 1.0× 143 2.2× 72 1.2× 24 702
Mihaela Kreutzer Germany 10 108 0.7× 18 0.1× 46 0.4× 33 0.5× 79 1.3× 14 335
Elena Chiavacci Italy 12 508 3.1× 45 0.3× 177 1.4× 70 1.1× 27 0.5× 18 805
Michael Bossenz Germany 9 498 3.1× 24 0.1× 103 0.8× 33 0.5× 60 1.0× 10 694
Franziska Rother Germany 10 366 2.3× 30 0.2× 58 0.5× 119 1.9× 174 2.9× 14 657

Countries citing papers authored by Weixing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Weixing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Weixing Yang. A scholar is included among the top collaborators of Weixing Yang 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 Weixing Yang. Weixing Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Liu, Xin, Weixing Yang, Yu Zhang, & Guohua Fang. (2024). A copula-based approach to instream ecological flow determination considering inter- and intra-annual runoff variability. Journal of Water and Climate Change. 15(5). 2415–2428.
2.
Demarest, Stephen J., Eric Ailor, Suzanne Szak, et al.. (2013). Evaluation of Tyro3 Expression, Gas6-Mediated Akt Phosphorylation, and the Impact of Anti-Tyro3 Antibodies in Melanoma Cell Lines. Biochemistry. 52(18). 3102–3118. 40 indexed citations
3.
Mi, Sha, Xinhua Lee, Yinghui Hu, et al.. (2011). Death receptor 6 negatively regulates oligodendrocyte survival, maturation and myelination. Nature Medicine. 17(7). 816–821. 63 indexed citations
4.
Li, Weiwei, Lee Walus, Sylvia A. Rabacchi, et al.. (2004). A Neutralizing Anti-Nogo66 Receptor Monoclonal Antibody Reverses Inhibition of Neurite Outgrowth by Central Nervous System Myelin. Journal of Biological Chemistry. 279(42). 43780–43788. 47 indexed citations
5.
Li, Jie Jack, Kenneth G. Carson, Bharat K. Trivedi, et al.. (2003). Synthesis and structure–Activity relationship of 2-amino-3-heteroaryl-quinoxalines as non-peptide, small-Molecule antagonists for interleukin-8 receptor. Bioorganic & Medicinal Chemistry. 11(17). 3777–3790. 39 indexed citations
6.
Ohka, Seii, et al.. (1998). Retrograde Transport of Intact Poliovirus Through the Axon via the Fast Transport System. Virology. 250(1). 67–75. 90 indexed citations
7.
Yang, Weixing, Tetsuya Terasaki, Kazuko Shiroki, et al.. (1997). Efficient Delivery of Circulating Poliovirus to the Central Nervous System Independently of Poliovirus Receptor. Virology. 229(2). 421–428. 87 indexed citations
8.
Shiroki, Kazuko, Toshihiko Ishii, Takahiro Aoki, et al.. (1997). Host range phenotype induced by mutations in the internal ribosomal entry site of poliovirus RNA. Journal of Virology. 71(1). 1–8. 54 indexed citations

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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