Gilbert L. Henry

2.6k total citations · 1 hit paper
13 papers, 1.7k citations indexed

About

Gilbert L. Henry is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, Gilbert L. Henry has authored 13 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Biophysics. Recurrent topics in Gilbert L. Henry's work include Neurobiology and Insect Physiology Research (4 papers), Genomics and Chromatin Dynamics (4 papers) and Developmental Biology and Gene Regulation (3 papers). Gilbert L. Henry is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Genomics and Chromatin Dynamics (4 papers) and Developmental Biology and Gene Regulation (3 papers). Gilbert L. Henry collaborates with scholars based in United States, Australia and Israel. Gilbert L. Henry's co-authors include Douglas A. Melton, Fred P. Davis, Sean R. Eddy, Serge Picard, Michael E. Rothenberg, J. Steven Alexander, Didier Y. R. Stainier, Joseph R. Nery, Ryan Lister and Joseph R. Ecker and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Gilbert L. Henry

13 papers receiving 1.7k citations

Hit Papers

Epigenomic Signatures of Neuronal Diversity in the Mammal... 2015 2026 2018 2022 2015 100 200 300 400

Peers

Gilbert L. Henry
Sean D. Speese United States
Elvin Woodruff United States
Ryan W. Draft United States
Victoria M. Bedell United States
Mark J. Alkema United States
Gilbert L. Henry
Citations per year, relative to Gilbert L. Henry Gilbert L. Henry (= 1×) peers Natalie De Geest

Countries citing papers authored by Gilbert L. Henry

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert L. Henry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gilbert L. Henry. 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 Gilbert L. Henry. The network helps show where Gilbert L. Henry may publish in the future.

Co-authorship network of co-authors of Gilbert L. Henry

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

All Works

13 of 13 papers shown
1.
Yuan, Li, et al.. (2024). Massive multiplexing of spatially resolved single neuron projections with axonal BARseq. Nature Communications. 15(1). 8371–8371. 3 indexed citations
2.
Davis, Fred P., Aljoscha Nern, Serge Picard, et al.. (2020). A genetic, genomic, and computational resource for exploring neural circuit function. eLife. 9. 131 indexed citations
3.
Shmueli, Anat, Gilbert L. Henry, Qin Li, et al.. (2019). Illuminating spatial A-to-I RNA editing signatures within the Drosophila brain. Proceedings of the National Academy of Sciences. 116(6). 2318–2327. 43 indexed citations
4.
Shih, Meng-Fu Maxwell, Fred P. Davis, Gilbert L. Henry, & Josh Dubnau. (2018). Nuclear Transcriptomes of the Seven Neuronal Cell Types That Constitute the Drosophila Mushroom Bodies. G3 Genes Genomes Genetics. 9(1). 81–94. 37 indexed citations
5.
Davis, Fred P., Aljoscha Nern, Serge Picard, et al.. (2018). A Genetic, Genomic, and Computational Resource for Exploring Neural Circuit Function. SSRN Electronic Journal. 3 indexed citations
6.
Mo, Alisa, Chongyuan Luo, Fred P. Davis, et al.. (2016). Epigenomic landscapes of retinal rods and cones. eLife. 5. e11613–e11613. 122 indexed citations
7.
Viswanathan, Sarada, Megan E. Williams, Erik B. Bloss, et al.. (2015). High-performance probes for light and electron microscopy. Nature Methods. 12(6). 568–576. 178 indexed citations
8.
Mo, Alisa, Eran A. Mukamel, Fred P. Davis, et al.. (2015). Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain. Neuron. 86(6). 1369–1384. 475 indexed citations breakdown →
9.
Henry, Gilbert L., Fred P. Davis, Serge Picard, & Sean R. Eddy. (2012). Cell type–specific genomics of Drosophila neurons. Nucleic Acids Research. 40(19). 9691–9704. 111 indexed citations
10.
Henry, Gilbert L., Karen Zito, & Josh Dubnau. (2003). Chipping away at brain function: mining for insights with microarrays. Current Opinion in Neurobiology. 13(5). 570–576. 17 indexed citations
11.
Alexander, J. Steven, Michael E. Rothenberg, Gilbert L. Henry, & Didier Y. R. Stainier. (1999). casanova Plays an Early and Essential Role in Endoderm Formation in Zebrafish. Developmental Biology. 215(2). 343–357. 232 indexed citations
12.
Henry, Gilbert L. & Douglas A. Melton. (1998). Mixer , a Homeobox Gene Required for Endoderm Development. Science. 281(5373). 91–96. 178 indexed citations
13.
Henry, Gilbert L., et al.. (1996). TGF-β signals and a prepattern in Xenopus laevis endodermal development. Development. 122(3). 1007–1015. 176 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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