Lisa Maves

3.0k total citations
33 papers, 2.3k citations indexed

About

Lisa Maves is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Lisa Maves has authored 33 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 14 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in Lisa Maves's work include Muscle Physiology and Disorders (13 papers), Developmental Biology and Gene Regulation (12 papers) and Congenital heart defects research (11 papers). Lisa Maves is often cited by papers focused on Muscle Physiology and Disorders (13 papers), Developmental Biology and Gene Regulation (12 papers) and Congenital heart defects research (11 papers). Lisa Maves collaborates with scholars based in United States, Canada and Netherlands. Lisa Maves's co-authors include Charles B. Kimmel, Jared C. Talbot, Gerold Schubiger, William R. Jackman, Stephen J. Tapscott, Ashlee E. Tyler, Craig T. Miller, Nathan D. Lawson, Gist H. Farr and Brant M. Weinstein and has published in prestigious journals such as Cell, Development and The American Journal of Human Genetics.

In The Last Decade

Lisa Maves

32 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa Maves United States 25 2.0k 472 415 213 182 33 2.3k
Mary Elizabeth Pownall United Kingdom 21 2.1k 1.0× 450 1.0× 441 1.1× 115 0.5× 83 0.5× 46 2.4k
Zacharias Kontarakis Germany 16 1.7k 0.9× 587 1.2× 479 1.2× 179 0.8× 82 0.5× 26 2.3k
Wiebke Herzog Germany 29 1.5k 0.8× 977 2.1× 204 0.5× 227 1.1× 112 0.6× 35 2.5k
Alar Karis Estonia 24 2.0k 1.0× 255 0.5× 461 1.1× 479 2.2× 235 1.3× 33 3.3k
Iain W. McKinnell United Kingdom 22 1.7k 0.8× 344 0.7× 272 0.7× 231 1.1× 327 1.8× 29 2.1k
Judith M. Venuti United States 15 1.6k 0.8× 153 0.3× 297 0.7× 242 1.1× 213 1.2× 28 2.1k
Nobuko Hagiwara United States 20 1.2k 0.6× 387 0.8× 373 0.9× 337 1.6× 172 0.9× 46 1.9k
Claudia Gerri United Kingdom 12 1.5k 0.8× 561 1.2× 384 0.9× 117 0.5× 90 0.5× 16 2.1k
Aimée Zúñiga Switzerland 25 2.9k 1.4× 389 0.8× 833 2.0× 223 1.0× 107 0.6× 45 3.9k
Ela W. Knapik United States 28 1.7k 0.8× 970 2.1× 763 1.8× 166 0.8× 88 0.5× 45 2.6k

Countries citing papers authored by Lisa Maves

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Maves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Maves. 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 Lisa Maves. The network helps show where Lisa Maves may publish in the future.

Co-authorship network of co-authors of Lisa Maves

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Maves. A scholar is included among the top collaborators of Lisa Maves 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 Lisa Maves. Lisa Maves 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.
Farr, Gist H., et al.. (2025). Epigenetic small molecule screening identifies a new HDACi compound for ameliorating Duchenne muscular dystrophy. Molecular Therapy — Nucleic Acids. 36(3). 102683–102683.
2.
Farr, Gist H., et al.. (2025). A systems genetics approach identifies roles for proteasome factors in heart development and congenital heart defects. PLoS Genetics. 21(8). e1011579–e1011579. 1 indexed citations
3.
Henry, Clarissa A., M. Chiara Manzini, John M. Parant, et al.. (2024). Standardization of zebrafish drug testing parameters for muscle diseases. Disease Models & Mechanisms. 17(1). 13 indexed citations
4.
Farr, Gist H., et al.. (2023). Comparison of Pronase versus Manual Dechorionation of Zebrafish Embryos for Small Molecule Treatments. Journal of Developmental Biology. 11(2). 16–16. 7 indexed citations
5.
6.
Smith, Alec S.T., Nguyen T. K. Vo, Jeanot Muster, et al.. (2020). A More Open Approach Is Needed to Develop Cell-Based Fish Technology: It Starts with Zebrafish. One Earth. 3(1). 54–64. 38 indexed citations
7.
Farr, Gist H., et al.. (2018). Lipid Nanoparticle Packaging Is an Effective and Nontoxic mRNA Delivery Platform in Embryonic Zebrafish. Zebrafish. 15(3). 217–227. 9 indexed citations
8.
Farr, Gist H., et al.. (2018). Functional testing of a human PBX3 variant in zebrafish reveals a potential modifier role in congenital heart defects. Disease Models & Mechanisms. 11(10). 20 indexed citations
9.
Row, Richard H., Gist H. Farr, Lisa Maves, et al.. (2018). BMP and FGF signaling interact to pattern mesoderm by controlling basic helix-loop-helix transcription factor activity. eLife. 7. 32 indexed citations
10.
Goody, Michelle F., et al.. (2016). “Muscling” Throughout Life. Current topics in developmental biology. 124. 197–234. 24 indexed citations
11.
Fong, Abraham, Zizhen Yao, Jun Zhong, et al.. (2015). Conversion of MyoD to a Neurogenic Factor: Binding Site Specificity Determines Lineage. Cell Reports. 10(12). 1937–1946. 46 indexed citations
12.
Smith, Joshua D., Anne Hing, Christine M. Clarke, et al.. (2014). Exome Sequencing Identifies a Recurrent De Novo ZSWIM6 Mutation Associated with Acromelic Frontonasal Dysostosis. The American Journal of Human Genetics. 95(2). 235–240. 40 indexed citations
13.
Yao, Zizhen, Gist H. Farr, Stephen J. Tapscott, & Lisa Maves. (2013). Pbx and Prdm1a transcription factors differentially regulate subsets of the fast skeletal muscle program in zebrafish. Biology Open. 2(6). 546–555. 24 indexed citations
14.
Paige, Sharon L., Sean Thomas, Cristi L. Stoick-Cooper, et al.. (2012). A Temporal Chromatin Signature in Human Embryonic Stem Cells Identifies Regulators of Cardiac Development. Cell. 151(1). 221–232. 253 indexed citations
15.
Snider, Lauren, Ashlee E. Tyler, Linda N. Geng, et al.. (2009). RNA transcripts, miRNA-sized fragments and proteins produced from D4Z4 units: new candidates for the pathophysiology of facioscapulohumeral dystrophy. Human Molecular Genetics. 18(13). 2414–2430. 167 indexed citations
16.
Maves, Lisa, Ashlee E. Tyler, Cecilia B. Moens, & Stephen J. Tapscott. (2009). Pbx acts with Hand2 in early myocardial differentiation. Developmental Biology. 333(2). 409–418. 42 indexed citations
17.
Sittaramane, Vinoth, Anagha Sawant, Marc A. Wolman, et al.. (2008). The cell adhesion molecule Tag1, transmembrane protein Stbm/Vangl2, and Lamininα1 exhibit genetic interactions during migration of facial branchiomotor neurons in zebrafish. Developmental Biology. 325(2). 363–373. 38 indexed citations
18.
Maves, Lisa & Charles B. Kimmel. (2005). Dynamic and sequential patterning of the zebrafish posterior hindbrain by retinoic acid. Developmental Biology. 285(2). 593–605. 95 indexed citations
19.
Miller, Craig T., Lisa Maves, & Charles B. Kimmel. (2004). moz regulates Hox expression and pharyngeal segmental identity in zebrafish. Development. 131(10). 2443–2461. 110 indexed citations
20.
Maves, Lisa & Gerold Schubiger. (2003). Transdetermination in Drosophila imaginal discs: a model for understanding pluripotency and selector gene maintenance. Current Opinion in Genetics & Development. 13(5). 472–479. 44 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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