Alicia M. Ebert

544 total citations
27 papers, 381 citations indexed

About

Alicia M. Ebert is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alicia M. Ebert has authored 27 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Cell Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alicia M. Ebert's work include Zebrafish Biomedical Research Applications (10 papers), Axon Guidance and Neuronal Signaling (9 papers) and Hippo pathway signaling and YAP/TAZ (6 papers). Alicia M. Ebert is often cited by papers focused on Zebrafish Biomedical Research Applications (10 papers), Axon Guidance and Neuronal Signaling (9 papers) and Hippo pathway signaling and YAP/TAZ (6 papers). Alicia M. Ebert collaborates with scholars based in United States and Canada. Alicia M. Ebert's co-authors include Deborah M. Garrity, Bryan A. Ballif, Anna M. Schmoker, Gregg Siegal, Deborah Yelon, Kerri S. Warren, Mark C. Fishman, C. Geoffrey Burns, Sarah McFarlane and Christopher S. Francklyn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Alicia M. Ebert

25 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alicia M. Ebert United States	12	264	107	87	64	26	27	381
Arkadi Shwartz United States	9	172 0.7×	90 0.8×	34 0.4×	24 0.4×	26 1.0×	10	337
Laurienne Edgar United Kingdom	7	236 0.9×	134 1.3×	89 1.0×	32 0.5×	29 1.1×	10	442
Barbara Angeletti Italy	8	317 1.2×	70 0.7×	50 0.6×	30 0.5×	12 0.5×	12	462
Fong‐Jou Hsieh Taiwan	6	458 1.7×	205 1.9×	25 0.3×	78 1.2×	24 0.9×	7	563
Julia Hoffmann Germany	9	252 1.0×	66 0.6×	26 0.3×	28 0.4×	57 2.2×	13	400
Jinhua Chi United States	7	307 1.2×	61 0.6×	23 0.3×	42 0.7×	10 0.4×	20	401
William J. Ratzan United States	7	310 1.2×	56 0.5×	51 0.6×	19 0.3×	21 0.8×	10	668
Ina M. Berger Germany	14	429 1.6×	78 0.7×	15 0.2×	184 2.9×	34 1.3×	15	521
David S. Peal United States	7	214 0.8×	127 1.2×	23 0.3×	48 0.8×	24 0.9×	7	273
Rebecca A. Jones United Kingdom	8	147 0.6×	139 1.3×	20 0.2×	11 0.2×	21 0.8×	12	328

Countries citing papers authored by Alicia M. Ebert

Since Specialization

Citations

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

Fields of papers citing papers by Alicia M. Ebert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alicia M. Ebert. 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 Alicia M. Ebert. The network helps show where Alicia M. Ebert may publish in the future.

Co-authorship network of co-authors of Alicia M. Ebert

This figure shows the co-authorship network connecting the top 25 collaborators of Alicia M. Ebert. A scholar is included among the top collaborators of Alicia M. Ebert 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 Alicia M. Ebert. Alicia M. Ebert 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

Mead, Andrew F., Shane R. Nelson, Bradley M. Palmer, et al.. (2024). Functional role of myosin-binding protein H in thick filaments of developing vertebrate fast-twitch skeletal muscle. The Journal of General Physiology. 156(12).

Schmoker, Anna M., et al.. (2020). FYN and ABL Regulate the Interaction Networks of the DCBLD Receptor Family. Molecular & Cellular Proteomics. 19(10). 1586–1601. 4 indexed citations

Mullen, Patrick, et al.. (2020). Neuropathy‐associated histidyl‐tRNA synthetase variants attenuate protein synthesis in vitro and disrupt axon outgrowth in developing zebrafish. FEBS Journal. 288(1). 142–159. 15 indexed citations

Ebert, Alicia M., et al.. (2020). Shootin‐1 is required for nervous system development in zebrafish. Developmental Dynamics. 249(10). 1285–1295. 3 indexed citations

Mead, Andrew F., Guy G. Kennedy, Bradley M. Palmer, Alicia M. Ebert, & David M. Warshaw. (2020). Mechanical Characteristics of Ultrafast Zebrafish Larval Swimming Muscles. Biophysical Journal. 119(4). 806–820. 13 indexed citations

Mead, Andrew F., Guy G. Kennedy, Samantha Beck Previs, et al.. (2019). Zebrafish Embryos Enable Multi-Scale High-Throughput Muscle Mechanics. Biophysical Journal. 116(3). 405a–405a. 1 indexed citations

Wilcox, Claire, et al.. (2019). Knock-Down of Histidyl-tRNA Synthetase Causes Cell Cycle Arrest and Apoptosis of Neuronal Progenitor Cells in vivo. Frontiers in Cell and Developmental Biology. 7. 67–67. 14 indexed citations

Schmoker, Anna M., Alicia M. Ebert, & Bryan A. Ballif. (2019). The DCBLD receptor family: emerging signaling roles in development, homeostasis and disease. Biochemical Journal. 476(6). 931–950. 24 indexed citations

Dumas, Caroline, et al.. (2019). PKC induces release of a functional ectodomain of the guidance cue semaphorin6A. FEBS Letters. 593(21). 3015–3028. 4 indexed citations

10.

Deming, Paula B., et al.. (2018). Developmental expression patterns of protein kinase A catalytic subunits in zebrafish. Gene Expression Patterns. 31. 1–6. 2 indexed citations

11.

Schmoker, Anna M., et al.. (2018). An in silico proteomics screen to predict and prioritize protein–protein interactions dependent on post-translationally modified motifs. Bioinformatics. 34(22). 3898–3906. 3 indexed citations

12.

Ebert, Alicia M., et al.. (2017). Neuronal expression patterns of the PlexinA family during zebrafish development. Gene Expression Patterns. 27. 56–66. 5 indexed citations

13.

Cahan, Sara Helms, et al.. (2017). A single Danio rerio hars gene encodes both cytoplasmic and mitochondrial histidyl-tRNA synthetases. PLoS ONE. 12(9). e0185317–e0185317. 7 indexed citations

14.

Mirando, Adam C., Pengfei Fang, Linda Baldor, et al.. (2015). Aminoacyl-tRNA synthetase dependent angiogenesis revealed by a bioengineered macrolide inhibitor. Scientific Reports. 5(1). 13160–13160. 22 indexed citations

15.

Rohs, Patricia D. A., et al.. (2013). Neuronal expression of fibroblast growth factor receptors in zebrafish. Gene Expression Patterns. 13(8). 354–361. 8 indexed citations

16.

Chernyavskaya, Yelena, et al.. (2012). Voltage‐gated calcium channel CACNB2 (β2.1) protein is required in the heart for control of cell proliferation and heart tube integrity. Developmental Dynamics. 241(4). 648–662. 26 indexed citations

17.

Ebert, Alicia M., Ryan E. Lamont, Sarah J. Childs, & Sarah McFarlane. (2012). Neuronal expression of class 6 semaphorins in zebrafish. Gene Expression Patterns. 12(3-4). 117–122. 11 indexed citations

18.

Ebert, Alicia M., et al.. (2008). Ca ²⁺ channel-independent requirement for MAGUK family CACNB4 genes in initiation of zebrafish epiboly. Proceedings of the National Academy of Sciences. 105(1). 198–203. 27 indexed citations

19.

Ebert, Alicia M., et al.. (2008). The calcium channel β2 (CACNB2) subunit repertoire in teleosts. BMC Molecular Biology. 9(1). 38–38. 11 indexed citations

20.

Ebert, Alicia M., et al.. (2008). Genomic organization, expression, and phylogenetic analysis of Ca²⁺channel β4 genes in 13 vertebrate species. Physiological Genomics. 35(2). 133–144. 7 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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