Brent Bill

1.9k total citations
20 papers, 1.3k citations indexed

About

Brent Bill is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Brent Bill has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cell Biology, 10 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Brent Bill's work include Zebrafish Biomedical Research Applications (11 papers), Congenital heart defects research (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Brent Bill is often cited by papers focused on Zebrafish Biomedical Research Applications (11 papers), Congenital heart defects research (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Brent Bill collaborates with scholars based in United States, Singapore and Germany. Brent Bill's co-authors include Stephen C. Ekker, Lisa A. Schimmenti, Daniel H. Geschwind, Karl J. Clark, Andrew M. Petzold, David L. Glanzman, Adam C. Roberts, Vladimir Korzh, Jennifer K. Lowe and Brent L. Fogel and has published in prestigious journals such as Neuron, PLoS ONE and Development.

In The Last Decade

Brent Bill

20 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brent Bill United States 16 761 474 362 244 160 20 1.3k
Jennifer O. Liang United States 15 916 1.2× 357 0.8× 213 0.6× 131 0.5× 196 1.2× 34 1.3k
Véronique Dubreuil France 19 961 1.3× 286 0.6× 198 0.5× 340 1.4× 233 1.5× 26 2.0k
Nobuko Hagiwara United States 20 1.2k 1.6× 387 0.8× 373 1.0× 96 0.4× 337 2.1× 46 1.9k
Jennifer Skaug Canada 10 1.1k 1.4× 238 0.5× 572 1.6× 319 1.3× 200 1.3× 11 1.8k
Kelvin Lam United States 7 1.2k 1.6× 423 0.9× 176 0.5× 120 0.5× 155 1.0× 9 1.7k
Julia E. Dallman United States 16 746 1.0× 245 0.5× 187 0.5× 123 0.5× 269 1.7× 31 1.2k
Jonathan R. McDearmid United Kingdom 18 614 0.8× 705 1.5× 139 0.4× 119 0.5× 423 2.6× 23 1.6k
Alexandra L. Bey United States 18 626 0.8× 129 0.3× 354 1.0× 309 1.3× 151 0.9× 22 1.2k
J. Hikke van Doorninck Netherlands 15 971 1.3× 121 0.3× 249 0.7× 171 0.7× 328 2.0× 17 1.8k
Nicolas Plachta Singapore 22 1.4k 1.8× 486 1.0× 159 0.4× 86 0.4× 170 1.1× 42 2.0k

Countries citing papers authored by Brent Bill

Since Specialization
Citations

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

Fields of papers citing papers by Brent Bill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brent Bill

This figure shows the co-authorship network connecting the top 25 collaborators of Brent Bill. A scholar is included among the top collaborators of Brent Bill 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 Brent Bill. Brent Bill 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.
Hamouda, Ayman K., et al.. (2024). Optimization of Zebrafish Larvae 6-OHDA Exposure for Neurotoxin Induced Dopaminergic Marker Reduction. Zebrafish. 21(4). 287–293. 1 indexed citations
2.
Bill, Brent, et al.. (2022). Optimizing 6‐Hydroxydopamine Concentrations for induction of a Parkinson’s Disease Like Behavior in Zebrafish. The FASEB Journal. 36(S1). 1 indexed citations
3.
Roberts, Adam C., et al.. (2019). Rapid habituation of a touch-induced escape response in Zebrafish (Danio rerio) Larvae. PLoS ONE. 14(4). e0214374–e0214374. 11 indexed citations
4.
Hoffman, Ellen J., Katherine J. Turner, Joseph M. Fernandez, et al.. (2016). Estrogens Suppress a Behavioral Phenotype in Zebrafish Mutants of the Autism Risk Gene, CNTNAP2. Neuron. 89(4). 725–733. 147 indexed citations
5.
Roberts, Adam C., et al.. (2016). Long-term habituation of the C-start escape response in zebrafish larvae. Neurobiology of Learning and Memory. 134. 360–368. 30 indexed citations
6.
Bill, Brent, et al.. (2015). Feasibility of a semi-batch vertical-flow wetland for onsite residential graywater treatment. Ecological Engineering. 82. 311–322. 16 indexed citations
7.
Oguro‐Ando, Asami, Clark Rosensweig, Edward I. Herman, et al.. (2014). Increased CYFIP1 dosage alters cellular and dendritic morphology and dysregulates mTOR. Molecular Psychiatry. 20(9). 1069–1078. 88 indexed citations
8.
Bill, Brent & Vladimir Korzh. (2014). Choroid plexus in developmental and evolutionary perspective. Frontiers in Neuroscience. 8. 363–363. 32 indexed citations
9.
Roberts, Adam C., Brent Bill, & David L. Glanzman. (2013). Learning and memory in zebrafish larvae. Frontiers in Neural Circuits. 7. 126–126. 77 indexed citations
10.
Bill, Brent, et al.. (2013). Orchestration of Neurodevelopmental Programs by RBFOX1. International review of neurobiology. 113. 251–267. 57 indexed citations
11.
Bedell, Victoria M., Anthony Person, Jon D. Larson, et al.. (2012). The lineage-specific geneponzr1is essential for zebrafish pronephric and pharyngeal arch development. Development. 139(4). 793–804. 20 indexed citations
12.
Alexandre, David, et al.. (2010). Expression Analysis of PAC1-R and PACAP Genes in Zebrafish Embryos. Journal of Molecular Neuroscience. 43(1). 94–100. 10 indexed citations
13.
Bill, Brent, Andrew M. Petzold, Karl J. Clark, Lisa A. Schimmenti, & Stephen C. Ekker. (2009). A Primer for Morpholino Use in Zebrafish. Zebrafish. 6(1). 69–77. 340 indexed citations
14.
Bill, Brent & Daniel H. Geschwind. (2009). Genetic advances in autism: heterogeneity and convergence on shared pathways. Current Opinion in Genetics & Development. 19(3). 271–278. 130 indexed citations
15.
Bill, Brent, Darius Balčiūnas, Eric D. Young, et al.. (2008). Development and Notch Signaling Requirements of the Zebrafish Choroid Plexus. PLoS ONE. 3(9). e3114–e3114. 40 indexed citations
16.
Li, Tongbin, et al.. (2008). A PATO-compliant zebrafish screening database (MODB): management of morpholino knockdown screen information. BMC Bioinformatics. 9(1). 7–7. 16 indexed citations
17.
Balciuniene, Jorune, Ningping Feng, Betsy Hirsch, et al.. (2007). Recurrent 10q22-q23 Deletions: A Genomic Disorder on 10q Associated with Cognitive and Behavioral Abnormalities. The American Journal of Human Genetics. 80(5). 938–947. 85 indexed citations
18.
Álvarez, Yolanda, David C. Cottell, Brent Bill, et al.. (2007). Genetic determinants of hyaloid and retinal vasculature in zebrafish. BMC Developmental Biology. 7(1). 114–114. 116 indexed citations
19.
Pickart, Michael A., Eric W. Klee, Sridhar Sivasubbu, et al.. (2006). Genome-Wide Reverse Genetics Framework to Identify Novel Functions of the Vertebrate Secretome. PLoS ONE. 1(1). e104–e104. 68 indexed citations
20.
Lyon, Christopher J., Cory J. Evans, Brent Bill, Anthony J. Otsuka, & Renato J. Aguilera. (2000). The C. elegans apoptotic nuclease NUC-1 is related in sequence and activity to mammalian DNase II. Gene. 252(1-2). 147–154. 36 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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