Jeffrey K. Moore

2.1k total citations
53 papers, 1.4k citations indexed

About

Jeffrey K. Moore is a scholar working on Cell Biology, Molecular Biology and Ophthalmology. According to data from OpenAlex, Jeffrey K. Moore has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cell Biology, 36 papers in Molecular Biology and 5 papers in Ophthalmology. Recurrent topics in Jeffrey K. Moore's work include Microtubule and mitosis dynamics (38 papers), Cellular transport and secretion (11 papers) and Photosynthetic Processes and Mechanisms (11 papers). Jeffrey K. Moore is often cited by papers focused on Microtubule and mitosis dynamics (38 papers), Cellular transport and secretion (11 papers) and Photosynthetic Processes and Mechanisms (11 papers). Jeffrey K. Moore collaborates with scholars based in United States, Australia and Russia. Jeffrey K. Moore's co-authors include John A. Cooper, Rita K. Miller, Jayne Aiken, Robert H. Rosa, Carol L. Karp, Emily A. Bates, David Sept, Melissa D. Stuchell‐Brereton, Jun Li and Sonia D’Silva and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Jeffrey K. Moore

51 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey K. Moore United States 24 817 815 217 173 163 53 1.4k
Emilie H. Mules United States 19 580 0.7× 825 1.0× 41 0.2× 34 0.2× 129 0.8× 29 1.6k
Johan Zwaan United States 26 325 0.4× 1.0k 1.2× 578 2.7× 271 1.6× 148 0.9× 66 1.8k
Charles E. Thirkill United States 25 182 0.2× 740 0.9× 1.2k 5.3× 117 0.7× 224 1.4× 65 2.2k
Shuang Wu United States 18 60 0.1× 359 0.4× 151 0.7× 68 0.4× 87 0.5× 34 966
Alexandra Kaser-Eichberger Austria 19 62 0.1× 590 0.7× 335 1.5× 203 1.2× 143 0.9× 52 1.3k
Susan H. Kidson South Africa 14 134 0.2× 280 0.3× 63 0.3× 95 0.5× 21 0.1× 28 668
John James United Kingdom 16 397 0.5× 1.1k 1.3× 24 0.1× 26 0.2× 372 2.3× 25 1.5k
Douglas H. Lester United Kingdom 18 133 0.2× 657 0.8× 108 0.5× 71 0.4× 37 0.2× 29 914
Binoy Appukuttan United States 21 69 0.1× 828 1.0× 500 2.3× 294 1.7× 139 0.9× 61 1.6k
Ross F. Collery United States 15 203 0.2× 530 0.7× 195 0.9× 91 0.5× 44 0.3× 34 775

Countries citing papers authored by Jeffrey K. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey K. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey K. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey K. Moore. A scholar is included among the top collaborators of Jeffrey K. 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 Jeffrey K. Moore. Jeffrey K. 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.
Moore, Jeffrey K., et al.. (2025). αβ-tubulin heterodimers: Origins and regulation of microtubule building blocks. Molecular Biology of the Cell. 37(1). re1–re1.
2.
Alsina, Fernando C., Camila Manso Musso, Aussie Suzuki, et al.. (2024). The RNA-binding protein EIF4A3 promotes axon development by direct control of the cytoskeleton. Cell Reports. 43(9). 114666–114666. 7 indexed citations
3.
Moore, Jeffrey K., et al.. (2023). Tubulin isotype regulation maintains asymmetric requirement for α-tubulin over β-tubulin. The Journal of Cell Biology. 222(3). 7 indexed citations
4.
Park, Kristen, et al.. (2021). Kinetically Stabilizing Mutations in Beta Tubulins Create Isotype-Specific Brain Malformations. Frontiers in Cell and Developmental Biology. 9. 765992–765992. 13 indexed citations
5.
Moore, Jeffrey K., et al.. (2020). Reduced TUBA1A Tubulin Causes Defects in Trafficking and Impaired Adult Motor Behavior. eNeuro. 7(2). ENEURO.0045–20.2020. 23 indexed citations
6.
Sobrin, Lucia, et al.. (2020). Culture-Negative C acnes Endophthalmitis Following Implantation of a Phakic Implantable Collamer Lens. Journal of VitreoRetinal Diseases. 5(3). 258–260. 3 indexed citations
7.
Moore, Jeffrey K., et al.. (2020). Microtubule dynamics at low temperature: evidence that tubulin recycling limits assembly. Molecular Biology of the Cell. 31(11). 1154–1166. 39 indexed citations
8.
Gudimchuk, Nikita B., Eileen O’Toole, Cynthia Page, et al.. (2020). Mechanisms of microtubule dynamics and force generation examined with computational modeling and electron cryotomography. Nature Communications. 11(1). 3765–3765. 57 indexed citations
9.
Moore, Jeffrey K., et al.. (2020). Ase1 domains dynamically slow anaphase spindle elongation and recruit Bim1 to the midzone. Molecular Biology of the Cell. 31(24). 2733–2747. 11 indexed citations
10.
Aiken, Jayne, et al.. (2019). Tubulin mutations in brain development disorders: Why haploinsufficiency does not explain TUBA1A tubulinopathies. Cytoskeleton. 77(3-4). 40–54. 22 indexed citations
11.
Aiken, Jayne, Jeffrey K. Moore, & Emily A. Bates. (2018). TUBA1A mutations identified in lissencephaly patients dominantly disrupt neuronal migration and impair dynein activity. Human Molecular Genetics. 28(8). 1227–1243. 32 indexed citations
12.
Aiken, Jayne, et al.. (2016). The negatively charged carboxy-terminal tail of β-tubulin promotes proper chromosome segregation. Molecular Biology of the Cell. 27(11). 1786–1796. 12 indexed citations
13.
Stuchell‐Brereton, Melissa D., Jun Li, Jeffrey K. Moore, et al.. (2011). Functional interaction between dynein light chain and intermediate chain is required for mitotic spindle positioning. Molecular Biology of the Cell. 22(15). 2690–2701. 30 indexed citations
14.
Moore, Jeffrey K. & John A. Cooper. (2010). Coordinating mitosis with cell polarity: Molecular motors at the cell cortex. Seminars in Cell and Developmental Biology. 21(3). 283–289. 66 indexed citations
15.
Moore, Jeffrey K., David Sept, & John A. Cooper. (2009). Neurodegeneration mutations in dynactin impair dynein-dependent nuclear migration. Proceedings of the National Academy of Sciences. 106(13). 5147–5152. 60 indexed citations
16.
Moore, Jeffrey K., Melissa D. Stuchell‐Brereton, & John A. Cooper. (2009). Function of dynein in budding yeast: Mitotic spindle positioning in a polarized cell. Cell Motility and the Cytoskeleton. 66(8). 546–555. 65 indexed citations
17.
Moore, Jeffrey K., Jun Li, & John A. Cooper. (2008). Dynactin Function in Mitotic Spindle Positioning. Traffic. 9(4). 510–527. 58 indexed citations
18.
Goldman, David, et al.. (2006). Cyclodialysis and Hypotony Maculopathy. Ophthalmic surgery, lasers & imaging retina. 37(5). 438–439. 1 indexed citations
19.
Moore, Jeffrey K., Sonia D’Silva, & Rita K. Miller. (2005). The CLIP-170 Homologue Bik1p Promotes the Phosphorylation and Asymmetric Localization of Kar9p. Molecular Biology of the Cell. 17(1). 178–191. 45 indexed citations
20.
Scott, Ingrid U., Harry W. Flynn, William E. Smiddy, et al.. (2003). Clinical features and outcomes of pars plana vitrectomy in patients with retained lens fragments. Ophthalmology. 110(8). 1567–1572. 65 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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