Dane Worley

1.1k total citations
7 papers, 778 citations indexed

About

Dane Worley is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Dane Worley has authored 7 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Developmental Neuroscience. Recurrent topics in Dane Worley's work include Nerve injury and regeneration (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Congenital gastrointestinal and neural anomalies (2 papers). Dane Worley is often cited by papers focused on Nerve injury and regeneration (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Congenital gastrointestinal and neural anomalies (2 papers). Dane Worley collaborates with scholars based in United States. Dane Worley's co-authors include Michele Sanicola, Lee Walus, Richard L. Cate, Catherine Hession, Ming‐Jer Tang, Gregory R. Dressler, Adrian Whitty, Paul Carmillo, Dinah W.Y. Sah and Stephen D. Robinson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Dane Worley

7 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dane Worley United States 6 484 337 319 129 125 7 778
Ann-Sofie Nilsson Sweden 7 473 1.0× 442 1.3× 314 1.0× 135 1.0× 46 0.4× 8 943
Mei Fang United States 7 662 1.4× 615 1.8× 430 1.3× 197 1.5× 47 0.4× 12 1.3k
Shushovan Chakrabortty Japan 12 401 0.8× 284 0.8× 349 1.1× 161 1.2× 168 1.3× 24 830
Soya Kawabata Japan 14 266 0.5× 395 1.2× 208 0.7× 217 1.7× 248 2.0× 41 821
Zheng Hu United States 5 668 1.4× 656 1.9× 435 1.4× 194 1.5× 36 0.3× 5 1.3k
Arshak R. Alexanian United States 15 236 0.5× 274 0.8× 192 0.6× 97 0.8× 149 1.2× 28 616
Malcolm Schinstine United States 12 288 0.6× 377 1.1× 344 1.1× 74 0.6× 49 0.4× 24 718
Katsunori Yoshinaga Japan 15 498 1.0× 161 0.5× 261 0.8× 182 1.4× 402 3.2× 20 928
Joseph S. Sparling Canada 9 693 1.4× 266 0.8× 500 1.6× 182 1.4× 656 5.2× 10 1.2k
Wenming Zhang China 11 196 0.4× 223 0.7× 240 0.8× 128 1.0× 198 1.6× 22 728

Countries citing papers authored by Dane Worley

Since Specialization
Citations

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

Fields of papers citing papers by Dane Worley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dane Worley

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

All Works

7 of 7 papers shown
1.
Carmillo, Paul, Eric S. Day, Dane Worley, et al.. (2005). Glial Cell Line-Derived Neurotrophic Factor (GDNF) Receptor α-1 (GFRα1) Is Highly Selective for GDNF versus Artemin. Biochemistry. 44(7). 2545–2554. 35 indexed citations
2.
Shearstone, Jeffrey R., Norm Allaire, Chunhua Yang, et al.. (2004). Application of functional genomic technologies in a mouse model of retinal degeneration. Genomics. 85(3). 309–321. 5 indexed citations
3.
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
4.
Li, Shuxin, Betty P. Liu, Stéphane Budel, et al.. (2004). Blockade of Nogo-66, Myelin-Associated Glycoprotein, and Oligodendrocyte Myelin Glycoprotein by Soluble Nogo-66 Receptor Promotes Axonal Sprouting and Recovery after Spinal Injury. Journal of Neuroscience. 24(46). 10511–10520. 250 indexed citations
5.
Worley, Dane, Lee Walus, Catherine Hession, et al.. (2000). Developmental regulation of GDNF response and receptor expression in the enteric nervous system. Development. 127(20). 4383–4393. 79 indexed citations
6.
Tang, Ming‐Jer, Dane Worley, Michele Sanicola, & Gregory R. Dressler. (1998). The RET–Glial Cell-derived Neurotrophic Factor (GDNF) Pathway Stimulates Migration and Chemoattraction of Epithelial Cells. The Journal of Cell Biology. 142(5). 1337–1345. 109 indexed citations
7.
Sanicola, Michele, Catherine Hession, Dane Worley, et al.. (1997). Glial cell line-derived neurotrophic factor-dependent RET activation can be mediated by two different cell-surface accessory proteins. Proceedings of the National Academy of Sciences. 94(12). 6238–6243. 253 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ann-Sofie Nilsson Breakdown of academic impact, for papers by Mei Fang Breakdown of academic impact, for papers by Shushovan Chakrabortty Breakdown of academic impact, for papers by Soya Kawabata Breakdown of academic impact, for papers by Zheng Hu Breakdown of academic impact, for papers by Arshak R. Alexanian Breakdown of academic impact, for papers by Malcolm Schinstine Breakdown of academic impact, for papers by Katsunori Yoshinaga Breakdown of academic impact, for papers by Joseph S. Sparling Breakdown of academic impact, for papers by Wenming Zhang
Rankless by CCL
2026