William A. Tyler

1.4k total citations
23 papers, 1.0k citations indexed

About

William A. Tyler is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, William A. Tyler has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Ecology. Recurrent topics in William A. Tyler's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Down syndrome and intellectual disability research (3 papers) and Single-cell and spatial transcriptomics (3 papers). William A. Tyler is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Down syndrome and intellectual disability research (3 papers) and Single-cell and spatial transcriptomics (3 papers). William A. Tyler collaborates with scholars based in United States, South Korea and Japan. William A. Tyler's co-authors include Tarik F. Haydar, Teresa L. Wood, Steven W. Levison, Matthew Covey, Haesun A. Kim, George S. Losey, Jose Luis Olmos-Serrano, Nenad Šestan, Alan Peters and John Silbereis and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

William A. Tyler

23 papers receiving 978 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William A. Tyler United States 15 424 276 182 178 140 23 1.0k
Eve Seuntjens Belgium 23 900 2.1× 275 1.0× 244 1.3× 316 1.8× 34 0.2× 56 1.7k
Sara Rodrı́guez Chile 19 285 0.7× 215 0.8× 183 1.0× 597 3.4× 105 0.8× 54 1.2k
David Bueno Spain 20 728 1.7× 286 1.0× 141 0.8× 173 1.0× 28 0.2× 55 1.1k
Kaveh Barami United States 19 386 0.9× 484 1.8× 54 0.3× 372 2.1× 29 0.2× 38 1.3k
Kathy Kampf United States 21 828 2.0× 483 1.8× 548 3.0× 372 2.1× 30 0.2× 34 1.8k
Alex M. Eisen United States 7 320 0.8× 256 0.9× 36 0.2× 338 1.9× 78 0.6× 7 750
Á. Gato Spain 22 663 1.6× 437 1.6× 269 1.5× 268 1.5× 37 0.3× 44 1.1k
Saul L. Zackson United States 11 540 1.3× 89 0.3× 140 0.8× 292 1.6× 22 0.2× 15 837
Nathalie Coré France 19 1.1k 2.6× 203 0.7× 317 1.7× 201 1.1× 55 0.4× 28 1.4k
Yohei Shinmyo Japan 25 1.1k 2.5× 400 1.4× 419 2.3× 636 3.6× 38 0.3× 65 1.8k

Countries citing papers authored by William A. Tyler

Since Specialization
Citations

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

Fields of papers citing papers by William A. Tyler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William A. Tyler. 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 William A. Tyler. The network helps show where William A. Tyler may publish in the future.

Co-authorship network of co-authors of William A. Tyler

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

All Works

20 of 20 papers shown
1.
Lamm, Melissa S., et al.. (2022). Characterization and distribution of kisspeptins, kisspeptin receptors, GnIH, and GnRH1 in the brain of the protogynous bluehead wrasse (Thalassoma bifasciatum). Journal of Chemical Neuroanatomy. 121. 102087–102087. 3 indexed citations
2.
Lamm, Melissa S., et al.. (2021). Estrogenic signaling and sociosexual behavior in wild sex‐changing bluehead wrasses, Thalassoma bifasciatum. Journal of Experimental Zoology Part A Ecological and Integrative Physiology. 337(1). 24–34. 7 indexed citations
3.
Li, Zhen, William A. Tyler, Ella Zeldich, et al.. (2020). Transcriptional priming as a conserved mechanism of lineage diversification in the developing mouse and human neocortex. Science Advances. 6(45). 44 indexed citations
4.
Li, Zhen, William A. Tyler, & Tarik F. Haydar. (2020). Lessons from single cell sequencing in CNS cell specification and function. Current Opinion in Genetics & Development. 65. 138–143. 8 indexed citations
5.
6.
Dillon, Gregory M., et al.. (2017). CLASP2 Links Reelin to the Cytoskeleton during Neocortical Development. Neuron. 93(6). 1344–e5. 31 indexed citations
7.
Olmos-Serrano, Jose Luis, William A. Tyler, Howard Cabral, & Tarik F. Haydar. (2016). Longitudinal measures of cognition in the Ts65Dn mouse: Refining windows and defining modalities for therapeutic intervention in Down syndrome. Experimental Neurology. 279. 40–56. 33 indexed citations
8.
Olmos-Serrano, Jose Luis, Hyo Jung Kang, William A. Tyler, et al.. (2016). Down Syndrome Developmental Brain Transcriptome Reveals Defective Oligodendrocyte Differentiation and Myelination. Neuron. 89(6). 1208–1222. 166 indexed citations
9.
Tyler, William A., Maria Medalla, Teresa Guillamón-Vivancos, Jennifer I. Luebke, & Tarik F. Haydar. (2015). Neural Precursor Lineages Specify Distinct Neocortical Pyramidal Neuron Types. Journal of Neuroscience. 35(15). 6142–6152. 40 indexed citations
10.
Tyler, William A. & Tarik F. Haydar. (2013). Multiplex Genetic Fate Mapping Reveals a Novel Route of Neocortical Neurogenesis, Which Is Altered in the Ts65Dn Mouse Model of Down Syndrome. Journal of Neuroscience. 33(12). 5106–5119. 65 indexed citations
11.
Ziegler, Amber N., Joel Schneider, Mei Qin, et al.. (2012). IGF-II Promotes Stemness of Neural Restricted Precursors. Stem Cells. 30(6). 1265–1276. 75 indexed citations
12.
Tyler, William A., Mohit Raja Jain, Qing Li, et al.. (2011). Proteomic identification of novel targets regulated by the mammalian target of rapamycin pathway during oligodendrocyte differentiation. Glia. 59(11). 1754–1769. 55 indexed citations
13.
Tyler, William A., et al.. (2009). Activation of the Mammalian Target of Rapamycin (mTOR) Is Essential for Oligodendrocyte Differentiation. Journal of Neuroscience. 29(19). 6367–6378. 222 indexed citations
14.
Chernousov, Michael A., Katrina Rothblum, William A. Tyler, Richard C. Stahl, & David J. Carey. (2000). Schwann Cells Synthesize Type V Collagen That Contains a Novel α4 Chain. Journal of Biological Chemistry. 275(36). 28208–28215. 42 indexed citations
15.
Specker, Jennifer L., J. Geoffrey Eales, Masatomo Tagawa, & William A. Tyler. (2000). Parr-smolt transformation in Atlantic salmon: thyroid hormone deiodination in liver and brain and endocrine correlates of change in rheotactic behavior. Canadian Journal of Zoology. 78(5). 696–705. 40 indexed citations
16.
David, Noam, et al.. (1996). Remote Sensing Characterization of Selected Waste Sites at the Los Alamos National Laboratory. Environmental Geosciences. 3(1). 1–10. 1 indexed citations
17.
Tyler, William A., et al.. (1996). Chernobyl revisited: Monitoring change with change vector analysis. Geocarto International. 11(1). 13–27. 8 indexed citations
18.
Tyler, William A.. (1995). The adaptive significance of colonial nesting in a coral-reef fish. Animal Behaviour. 49(4). 949–966. 32 indexed citations
19.
20.
Losey, George S., et al.. (1986). Copying Others, an Evolutionarily Stable Strategy for Mate Choice: A Model. The American Naturalist. 128(5). 653–664. 90 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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