Yanbin Yu

1.7k total citations · 1 hit paper
9 papers, 1.4k citations indexed

About

Yanbin Yu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Yanbin Yu has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Developmental Neuroscience. Recurrent topics in Yanbin Yu's work include Nerve injury and regeneration (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Axon Guidance and Neuronal Signaling (3 papers). Yanbin Yu is often cited by papers focused on Nerve injury and regeneration (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Axon Guidance and Neuronal Signaling (3 papers). Yanbin Yu collaborates with scholars based in United States, Italy and China. Yanbin Yu's co-authors include Shuqian Jing, Gary M. Fox, Zheng Hu, Mei Fang, Jean‐Claude Louis, Rod Cupples, Bruce W. Altrock, Duanzhi Wen, Yi Luo and Rami Tamir and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Yanbin Yu

9 papers receiving 1.4k citations

Hit Papers

GDNF–Induced Activation of the Ret Protein Tyrosine Kinas... 1996 2026 2006 2016 1996 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanbin Yu United States 7 775 680 534 219 167 9 1.4k
Zheng Hu United States 5 668 0.9× 656 1.0× 435 0.8× 194 0.9× 154 0.9× 5 1.3k
Petro Suvanto Finland 9 661 0.9× 899 1.3× 403 0.8× 234 1.1× 189 1.1× 9 1.6k
Mei Fang United States 7 662 0.9× 615 0.9× 430 0.8× 197 0.9× 150 0.9× 12 1.3k
Robert D. Klein United States 7 648 0.8× 801 1.2× 425 0.8× 370 1.7× 221 1.3× 8 1.6k
Ann-Sofie Nilsson Sweden 7 473 0.6× 442 0.7× 314 0.6× 135 0.6× 125 0.7× 8 943
Randall D. McKinnon United States 20 691 0.9× 1.3k 1.8× 970 1.8× 89 0.4× 180 1.1× 36 2.2k
Lilla Farkas Germany 17 560 0.7× 806 1.2× 390 0.7× 79 0.4× 110 0.7× 22 1.3k
Dante J. Morassutti United States 11 675 0.9× 749 1.1× 1.1k 2.0× 132 0.6× 94 0.6× 14 1.8k
Mariann Sondell Sweden 9 999 1.3× 701 1.0× 219 0.4× 354 1.6× 66 0.4× 9 1.7k
Ana María Gonzalez United Kingdom 16 442 0.6× 457 0.7× 200 0.4× 88 0.4× 99 0.6× 34 1.2k

Countries citing papers authored by Yanbin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yanbin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanbin Yu

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

All Works

9 of 9 papers shown
2.
Yu, Yanbin, et al.. (2007). Modeling and Verifying WNT Signaling Pathway. 61. 319–323. 2 indexed citations
3.
Yu, Yanbin, et al.. (2006). A novel method for detecting neutralizing antibodies against therapeutic proteins by measuring gene expression. Journal of Immunological Methods. 316(1-2). 8–17. 8 indexed citations
4.
Charlet‐Berguerand, Nicolas, Hervé Le Hir, Mariarosaria Incoronato, et al.. (2004). Expression of GFRα1 receptor splicing variants with different biochemical properties is modulated during kidney development. Cellular Signalling. 16(12). 1425–1434. 11 indexed citations
5.
Xu, Ren, Kevin Pong, Yanbin Yu, et al.. (1998). Characterization of Two Distinct Monoclonal Antibodies Specific for Glial Cell Line‐Derived Neurotrophic Factor. Journal of Neurochemistry. 70(4). 1383–1393. 14 indexed citations
6.
Carlomagno, Francesca, Rosa Marina Melillo, Roberta Visconti, et al.. (1998). Glial Cell Line-Derived Neurotrophic Factor Differentially Stimulates Ret Mutants Associated with the Multiple Endocrine Neoplasia Type 2 Syndromes and Hirschsprung’s Disease1. Endocrinology. 139(8). 3613–3619. 32 indexed citations
7.
Yu, Tian, Sheila Scully, Yanbin Yu, et al.. (1998). Expression of GDNF Family Receptor Components during Development: Implications in the Mechanisms of Interaction. Journal of Neuroscience. 18(12). 4684–4696. 162 indexed citations
8.
Jing, Shuqian, Yanbin Yu, Mei Fang, et al.. (1997). GFRα-2 and GFRα-3 Are Two New Receptors for Ligands of the GDNF Family. Journal of Biological Chemistry. 272(52). 33111–33117. 195 indexed citations
9.
Jing, Shuqian, Duanzhi Wen, Yanbin Yu, et al.. (1996). GDNF–Induced Activation of the Ret Protein Tyrosine Kinase Is Mediated by GDNFR-α, a Novel Receptor for GDNF. Cell. 85(7). 1113–1124. 978 indexed citations breakdown →

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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