Adrian W. Moore

3.1k total citations
45 papers, 2.2k citations indexed

About

Adrian W. Moore is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Adrian W. Moore has authored 45 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 25 papers in Cellular and Molecular Neuroscience and 11 papers in Genetics. Recurrent topics in Adrian W. Moore's work include Neurobiology and Insect Physiology Research (20 papers), Invertebrate Immune Response Mechanisms (8 papers) and Insect and Arachnid Ecology and Behavior (8 papers). Adrian W. Moore is often cited by papers focused on Neurobiology and Insect Physiology Research (20 papers), Invertebrate Immune Response Mechanisms (8 papers) and Insect and Arachnid Ecology and Behavior (8 papers). Adrian W. Moore collaborates with scholars based in Japan, United States and United Kingdom. Adrian W. Moore's co-authors include Lily Yeh Jan, Yuh Nung Jan, Andreas Schedl, Tobias Hohenauer, Nicholas D. Hastie, Jordan A. Kreidberg, Emi Kinameri, Wesley B. Grueber, Bing Ye and Reiko Amikura and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Adrian W. Moore

44 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrian W. Moore Japan 20 1.5k 675 416 376 174 45 2.2k
Masataka Okabe Japan 26 2.0k 1.3× 451 0.7× 253 0.6× 368 1.0× 167 1.0× 80 2.9k
Luis C. Fuentealba United States 19 2.2k 1.5× 644 1.0× 513 1.2× 373 1.0× 164 0.9× 22 3.3k
John R. Bermingham United States 25 1.4k 0.9× 671 1.0× 279 0.7× 262 0.7× 174 1.0× 40 2.3k
Akihiro Urasaki Japan 14 1.5k 1.0× 380 0.6× 976 2.3× 377 1.0× 128 0.7× 22 2.3k
Deborah L. Chapman United States 23 3.3k 2.2× 635 0.9× 377 0.9× 950 2.5× 82 0.5× 32 3.8k
Shuichi Kani Japan 16 1.8k 1.2× 292 0.4× 387 0.9× 350 0.9× 140 0.8× 20 2.3k
Tiffany Cook United States 32 2.5k 1.6× 941 1.4× 599 1.4× 681 1.8× 258 1.5× 75 3.7k
Brian G. Condie United States 30 2.4k 1.6× 632 0.9× 299 0.7× 618 1.6× 258 1.5× 46 3.3k
Eseng Lai United States 23 3.2k 2.1× 536 0.8× 247 0.6× 868 2.3× 117 0.7× 25 3.8k
Laurent Ruel France 13 2.1k 1.4× 451 0.7× 348 0.8× 464 1.2× 139 0.8× 19 2.5k

Countries citing papers authored by Adrian W. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Adrian W. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian W. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian W. Moore. A scholar is included among the top collaborators of Adrian W. Moore 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 Adrian W. Moore. Adrian W. Moore 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.
Tann, Jason Y., et al.. (2023). Mounting of Embryos, Larvae, and Pupae for LiveDrosophilaDendritic Arborization Neuron Imaging. Cold Spring Harbor Protocols. 2024(12). pdb.prot108149–pdb.prot108149. 4 indexed citations
2.
Tann, Jason Y., et al.. (2023). Study of Dendrite Differentiation UsingDrosophilaDendritic Arborization Neurons. Cold Spring Harbor Protocols. 2024(12). pdb.top108146–pdb.top108146. 1 indexed citations
3.
Tann, Jason Y., et al.. (2023). Use of DeTerm for AutomatedDrosophilaDendrite Arbor Terminal Counts. Cold Spring Harbor Protocols. 2024(12). pdb.prot108151–pdb.prot108151. 1 indexed citations
4.
Tann, Jason Y., et al.. (2023). Culture of Larval and PupalDrosophilaDendritic Arborization Neurons. Cold Spring Harbor Protocols. 2024(12). pdb.prot108150–pdb.prot108150. 1 indexed citations
5.
Tann, Jason Y., et al.. (2023). Mosaic Analysis with a Repressible Cell Marker (MARCM) Clone Generation inDrosophilaDendritic Arborization Neurons. Cold Spring Harbor Protocols. 2024(12). pdb.prot108147–pdb.prot108147. 3 indexed citations
6.
Liang, Xing, Richard D. Fetter, Maria D. Sallee, et al.. (2020). Growth cone-localized microtubule organizing center establishes microtubule orientation in dendrites. eLife. 9. 44 indexed citations
7.
Komori, Hideyuki, Derek H. Janssens, Shu Kondo, et al.. (2020). Sequential activation of transcriptional repressors promotes progenitor commitment by silencing stem cell identity genes. eLife. 9. 14 indexed citations
8.
Moore, Adrian W., et al.. (2018). Stages and transitions in dendrite arbor differentiation. Neuroscience Research. 138. 70–78. 11 indexed citations
9.
Ebrahimi, Saman, Reiko Amikura, Rebecca Spokony, et al.. (2015). Centrosomin represses dendrite branching by orienting microtubule nucleation. Nature Neuroscience. 18(10). 1437–1445. 90 indexed citations
10.
Bard-Chapeau, Emilie A., Dorota Szumska, Bindya Jacob, et al.. (2014). Mice Carrying a Hypomorphic Evi1 Allele Are Embryonic Viable but Exhibit Severe Congenital Heart Defects. PLoS ONE. 9(2). e89397–e89397. 21 indexed citations
11.
Karim, Md. Rezaul, et al.. (2011). Immunohistological Labeling of Microtubules in Sensory Neuron Dendrites, Tracheae, and Muscles in the <em>Drosophila</em> Larva Body Wall. Journal of Visualized Experiments. 7 indexed citations
12.
13.
Moore, Adrian W.. (2008). Le style et le genre comme mode esthétique. View.
14.
Kinameri, Emi, Takashi Inoue, Jun Aruga, et al.. (2008). Prdm Proto-Oncogene Transcription Factor Family Expression and Interaction with the Notch-Hes Pathway in Mouse Neurogenesis. PLoS ONE. 3(12). e3859–e3859. 95 indexed citations
15.
Amikura, Reiko, et al.. (2007). Knot/Collier and Cut Control Different Aspects of Dendrite Cytoskeleton and Synergize to Define Final Arbor Shape. Neuron. 56(6). 963–978. 140 indexed citations
16.
Kuzin, A., Thomas Brody, Adrian W. Moore, & Ward F. Odenwald. (2004). Nerfin-1 is required for early axon guidance decisions in the developing Drosophila CNS. Developmental Biology. 277(2). 347–365. 37 indexed citations
17.
Moore, Adrian W., Fabrice Roegiers, Lily Yeh Jan, & Yuh Nung Jan. (2004). Conversion of neurons and glia to external-cell fates in the external sensory organs of Drosophila hamlet mutants by a cousin-cousin cell-type respecification. Genes & Development. 18(6). 623–628. 25 indexed citations
18.
Grueber, Wesley B., Bing Ye, Adrian W. Moore, Lily Yeh Jan, & Yuh Nung Jan. (2003). Dendrites of Distinct Classes of Drosophila Sensory Neurons Show Different Capacities for Homotypic Repulsion. Current Biology. 13(8). 618–626. 215 indexed citations
19.
Moore, Adrian W., Lily Yeh Jan, & Yuh Nung Jan. (2002). hamlet , a Binary Genetic Switch Between Single- and Multiple- Dendrite Neuron Morphology. Science. 297(5585). 1355–1358. 99 indexed citations
20.
Moll, Thomas, Étienne Schwob, Christian A. Koch, et al.. (1993). Transcription factors important for starting the cell cycle in yeast. Philosophical Transactions of the Royal Society B Biological Sciences. 340(1293). 351–360. 12 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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