Samuel W. Hulbert

915 total citations
9 papers, 376 citations indexed

About

Samuel W. Hulbert is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Samuel W. Hulbert has authored 9 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Cognitive Neuroscience. Recurrent topics in Samuel W. Hulbert's work include Genetics and Neurodevelopmental Disorders (6 papers), Autism Spectrum Disorder Research (6 papers) and CRISPR and Genetic Engineering (2 papers). Samuel W. Hulbert is often cited by papers focused on Genetics and Neurodevelopmental Disorders (6 papers), Autism Spectrum Disorder Research (6 papers) and CRISPR and Genetic Engineering (2 papers). Samuel W. Hulbert collaborates with scholars based in United States and China. Samuel W. Hulbert's co-authors include Yong‐hui Jiang, Xinyu Cao, Alexandra L. Bey, Noah Sciaky, Bryan L. Roth, Jeffrey I. Everitt, Yan Xiong, Jian Jin, Yuna Kim and Hyeong-Min Lee and has published in prestigious journals such as Nature Medicine, Neuroscience and eLife.

In The Last Decade

Samuel W. Hulbert

9 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel W. Hulbert United States 8 208 196 178 74 29 9 376
Christine Ochoa Escamilla United States 6 168 0.8× 176 0.9× 131 0.7× 49 0.7× 22 0.8× 6 305
Hannah M. Grayton United Kingdom 7 238 1.1× 276 1.4× 158 0.9× 91 1.2× 20 0.7× 7 470
David C. Stoppel United States 6 265 1.3× 298 1.5× 187 1.1× 79 1.1× 22 0.8× 6 435
Liwen Wu China 7 179 0.9× 227 1.2× 113 0.6× 77 1.0× 32 1.1× 14 420
Nan Pang China 10 219 1.1× 268 1.4× 151 0.8× 89 1.2× 29 1.0× 21 519
Yanyan Ruan China 13 179 0.9× 179 0.9× 119 0.7× 53 0.7× 29 1.0× 23 387
Michelle Antoine United States 5 129 0.6× 150 0.8× 194 1.1× 114 1.5× 31 1.1× 7 338
Hsiu‐Chun Chuang Taiwan 8 159 0.8× 137 0.7× 135 0.8× 96 1.3× 37 1.3× 10 359
Adele Mossa Italy 6 132 0.6× 136 0.7× 117 0.7× 70 0.9× 28 1.0× 8 260
Moritz Negwer Netherlands 9 177 0.9× 104 0.5× 122 0.7× 126 1.7× 17 0.6× 13 357

Countries citing papers authored by Samuel W. Hulbert

Since Specialization
Citations

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

Fields of papers citing papers by Samuel W. Hulbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel W. Hulbert. 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 Samuel W. Hulbert. The network helps show where Samuel W. Hulbert may publish in the future.

Co-authorship network of co-authors of Samuel W. Hulbert

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel W. Hulbert. A scholar is included among the top collaborators of Samuel W. Hulbert 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 Samuel W. Hulbert. Samuel W. Hulbert 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
1.
Hulbert, Samuel W., et al.. (2022). Effectiveness of Topical ρ‐Kinase Inhibitors in Veterans with Severe Glaucoma on Maximally Tolerated Medical Therapy. Optometry and Vision Science. 99(8). 626–631. 1 indexed citations
2.
Hulbert, Samuel W., et al.. (2020). A Novel Chd8 Mutant Mouse Displays Altered Ultrasonic Vocalizations and Enhanced Motor Coordination. Autism Research. 13(10). 1685–1697. 10 indexed citations
3.
Xu, Qiong, Xiaoming Wang, Guohe Tan, et al.. (2018). Autism-associated CHD8 deficiency impairs axon development and migration of cortical neurons. Molecular Autism. 9(1). 65–65. 62 indexed citations
4.
Bey, Alexandra L., Xiaoming Wang, Hai Yan, et al.. (2018). Brain region-specific disruption of Shank3 in mice reveals a dissociation for cortical and striatal circuits in autism-related behaviors. Translational Psychiatry. 8(1). 94–94. 86 indexed citations
5.
Ray, Thomas A., Suva Roy, Christopher Kozlowski, et al.. (2018). Formation of retinal direction-selective circuitry initiated by starburst amacrine cell homotypic contact. eLife. 7. 37 indexed citations
6.
Hulbert, Samuel W., Alexandra L. Bey, & Yong‐hui Jiang. (2018). Environmental enrichment has minimal effects on behavior in the Shank3 complete knockout model of autism spectrum disorder. Brain and Behavior. 8(11). e01107–e01107. 18 indexed citations
7.
Hulbert, Samuel W. & Yong‐hui Jiang. (2017). Cellular and Circuitry Bases of Autism: Lessons Learned from the Temporospatial Manipulation of Autism Genes in the Brain. Neuroscience Bulletin. 33(2). 205–218. 12 indexed citations
8.
Kim, Yuna, Hyeong-Min Lee, Yan Xiong, et al.. (2016). Targeting the histone methyltransferase G9a activates imprinted genes and improves survival of a mouse model of Prader–Willi syndrome. Nature Medicine. 23(2). 213–222. 93 indexed citations
9.
Hulbert, Samuel W. & Yong‐hui Jiang. (2015). Monogenic mouse models of autism spectrum disorders: Common mechanisms and missing links. Neuroscience. 321. 3–23. 57 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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