Kyle E. Miller

2.6k total citations
49 papers, 2.0k citations indexed

About

Kyle E. Miller is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kyle E. Miller has authored 49 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cell Biology, 23 papers in Molecular Biology and 22 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kyle E. Miller's work include Microtubule and mitosis dynamics (20 papers), Cellular Mechanics and Interactions (15 papers) and Axon Guidance and Neuronal Signaling (8 papers). Kyle E. Miller is often cited by papers focused on Microtubule and mitosis dynamics (20 papers), Cellular Mechanics and Interactions (15 papers) and Axon Guidance and Neuronal Signaling (8 papers). Kyle E. Miller collaborates with scholars based in United States and Israel. Kyle E. Miller's co-authors include Michael P. Sheetz, Daniel M. Suter, Phillip Lamoureux, Steven R. Heidemann, Ellen Kuhl, Douglas H. Roossien, Maria A. Holland, Harish C. Joshi, David Van Vactor and April Duckworth and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Kyle E. Miller

47 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle E. Miller United States	25	943	886	826	181	159	49	2.0k
S. Catsicas Switzerland	22	898 1.0×	1.1k 1.2×	724 0.9×	282 1.6×	107 0.7×	31	2.2k
Leif Dehmelt Germany	25	1.1k 1.2×	1.4k 1.6×	633 0.8×	298 1.6×	271 1.7×	46	2.8k
Peter Munro United Kingdom	32	447 0.5×	2.3k 2.6×	744 0.9×	211 1.2×	180 1.1×	53	4.3k
Guisheng Zhong China	25	1.0k 1.1×	1.4k 1.5×	810 1.0×	275 1.5×	425 2.7×	52	3.4k
Jia‐Jia Liu China	22	573 0.6×	651 0.7×	356 0.4×	115 0.6×	107 0.7×	36	1.5k
Irina Dedova Australia	19	660 0.7×	1.1k 1.2×	321 0.4×	153 0.8×	62 0.4×	37	2.0k
Graham K. Sheridan United Kingdom	19	552 0.6×	708 0.8×	485 0.6×	470 2.6×	338 2.1×	29	2.0k
Uri Ashery Israel	35	2.0k 2.1×	2.8k 3.2×	1.4k 1.7×	475 2.6×	151 0.9×	80	4.3k
Matjaž Stenovec Slovenia	25	595 0.6×	1.2k 1.4×	819 1.0×	364 2.0×	79 0.5×	60	2.1k
Thomas B. Kuhn United States	23	670 0.7×	994 1.1×	896 1.1×	232 1.3×	52 0.3×	37	2.0k

Countries citing papers authored by Kyle E. Miller

Since Specialization

Citations

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

Fields of papers citing papers by Kyle E. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle E. Miller. 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 Kyle E. Miller. The network helps show where Kyle E. Miller may publish in the future.

Co-authorship network of co-authors of Kyle E. Miller

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

All Works

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20 of 20 papers shown

Lamoureux, Phillip, Adrian Reich, Mohammad Fallahi‐Sichani, et al.. (2019). Synapse Formation Activates a Transcriptional Program for Persistent Enhancement in the Bi-directional Transport of Mitochondria. Cell Reports. 26(3). 507–517.e3. 19 indexed citations

Rooij, R. de, Ellen Kuhl, & Kyle E. Miller. (2018). Modeling the Axon as an Active Partner with the Growth Cone in Axonal Elongation. Biophysical Journal. 115(9). 1783–1795. 21 indexed citations

Halievski, Katherine, et al.. (2016). Non-Cell-Autonomous Regulation of Retrograde Motoneuronal Axonal Transport in an SBMA Mouse Model. eNeuro. 3(4). ENEURO.0062–16.2016. 6 indexed citations

Rooij, R. de, Kyle E. Miller, & Ellen Kuhl. (2016). Modeling molecular mechanisms in the axon. Computational Mechanics. 59(3). 523–537. 29 indexed citations

Holland, Maria A., Kyle E. Miller, & Ellen Kuhl. (2015). Emerging Brain Morphologies from Axonal Elongation. Annals of Biomedical Engineering. 43(7). 1640–1653. 80 indexed citations

Lamoureux, Phillip, et al.. (2015). Measurement of Subcellular Force Generation in Neurons. Biophysical Journal. 108(5). 1027–1037. 44 indexed citations

Roossien, Douglas H., Phillip Lamoureux, David Van Vactor, & Kyle E. Miller. (2013). Drosophila Growth Cones Advance by Forward Translocation of the Neuronal Cytoskeletal Meshwork In Vivo. PLoS ONE. 8(11). e80136–e80136. 24 indexed citations

Miller, Kyle E., et al.. (2011). The Role of Stretching in Slow Axonal Transport. Biophysical Journal. 100(3). 443a–443a. 1 indexed citations

Miller, Kyle E., et al.. (2011). The Role of Stretching in Slow Axonal Transport. Biophysical Journal. 100(2). 351–360. 20 indexed citations

10.

Suter, Daniel M. & Kyle E. Miller. (2011). The emerging role of forces in axonal elongation. Progress in Neurobiology. 94(2). 91–101. 157 indexed citations

11.

Miller, Kyle E., et al.. (2010). Corneal Afferents Contain Synaptic Vesicle Proteins: Synaptophysin I and Synaptophysin II. Investigative Ophthalmology & Visual Science. 51(13). 1974–1974. 1 indexed citations

12.

Lamoureux, Phillip, et al.. (2010). Slowing of axonal regeneration is correlated with increased axonal viscosity during aging. BMC Neuroscience. 11(1). 140–140. 27 indexed citations

13.

Rheuben, Mary B., et al.. (2009). Disruption of Mitochondrial DNA Replication in Drosophila Increases Mitochondrial Fast Axonal Transport In Vivo. PLoS ONE. 4(11). e7874–e7874. 31 indexed citations

14.

Lamoureux, Phillip, et al.. (2009). Growth and elongation within and along the axon. Developmental Neurobiology. 70(3). 135–149. 86 indexed citations

15.

Lamoureux, Phillip, et al.. (2008). A Physical Model of Axonal Elongation: Force, Viscosity, and Adhesions Govern the Mode of Outgrowth. Biophysical Journal. 94(7). 2610–2620. 91 indexed citations

16.

Miller, Kyle E. & Todd A. Hillman. (2006). An Evaluation of the Risk of Cerebrospinal Fluid Leakage as a Function of the Surgical Approach to the Cochlear Nerve. The Laryngoscope. 116(7). 1276–1278. 3 indexed citations

17.

Miller, Kyle E., et al.. (2006). Black thyroid resulting from short-term doxycycline use: Case report, review of the literature, and discussion of implications. Head & Neck. 28(4). 373–377. 16 indexed citations

18.

Miller, Kyle E., et al.. (2005). Direct Observation Demonstrates that Liprin-α Is Required for Trafficking of Synaptic Vesicles. Current Biology. 15(7). 684–689. 117 indexed citations

19.

Vos, Kurt J. De, Julia Sable, Kyle E. Miller, & Michael P. Sheetz. (2003). Expression of Phosphatidylinositol (4,5) Bisphosphate–specific Pleckstrin Homology Domains Alters Direction But Not the Level of Axonal Transport of Mitochondria. Molecular Biology of the Cell. 14(9). 3636–3649. 66 indexed citations

20.

Miller, Kyle E. & Michael P. Sheetz. (2000). Characterization of Myosin V Binding to Brain Vesicles. Journal of Biological Chemistry. 275(4). 2598–2606. 42 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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