Stephen H. Devoto

3.8k total citations · 1 hit paper
36 papers, 3.3k citations indexed

About

Stephen H. Devoto is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Stephen H. Devoto has authored 36 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 14 papers in Cell Biology and 11 papers in Genetics. Recurrent topics in Stephen H. Devoto's work include Developmental Biology and Gene Regulation (17 papers), Congenital heart defects research (13 papers) and Zebrafish Biomedical Research Applications (9 papers). Stephen H. Devoto is often cited by papers focused on Developmental Biology and Gene Regulation (17 papers), Congenital heart defects research (13 papers) and Zebrafish Biomedical Research Applications (9 papers). Stephen H. Devoto collaborates with scholars based in United States, Austria and United Kingdom. Stephen H. Devoto's co-authors include Michael Barresi, Monte Westerfield, Heather L. Stickney, Judith S Eisen, Ellie Melançon, Joseph R. Nevins, Jonathon Pines, Maria Mudryj, Tony Hunter and Frank Stellabotte and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Stephen H. Devoto

36 papers receiving 3.2k citations

Hit Papers

Identification of separate slow and fast muscle precursor... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen H. Devoto United States 23 2.5k 793 788 703 246 36 3.3k
Jeffrey J. Essner United States 27 2.7k 1.1× 915 1.2× 475 0.6× 796 1.1× 181 0.7× 45 4.0k
Yoshihito Taniguchi Japan 34 2.4k 1.0× 604 0.8× 499 0.6× 516 0.7× 246 1.0× 53 3.5k
Giorgio R. Merlo Italy 39 3.0k 1.2× 1.1k 1.4× 914 1.2× 339 0.5× 301 1.2× 87 4.1k
Charles P. Ordahl United States 41 5.4k 2.2× 941 1.2× 439 0.6× 566 0.8× 318 1.3× 80 6.2k
Suzanne L. Mansour United States 26 3.0k 1.2× 1.0k 1.3× 256 0.3× 296 0.4× 173 0.7× 45 3.9k
Masanori Taira Japan 42 5.0k 2.0× 957 1.2× 393 0.5× 728 1.0× 368 1.5× 133 6.0k
E. Fujimoto United States 18 2.5k 1.0× 1.0k 1.3× 257 0.3× 803 1.1× 706 2.9× 52 3.9k
Pascal P. Thérond France 28 3.3k 1.4× 978 1.2× 313 0.4× 453 0.6× 226 0.9× 49 3.7k
Walter Knöchel Germany 36 4.0k 1.6× 750 0.9× 309 0.4× 446 0.6× 172 0.7× 106 4.7k
Jacek Topczewski United States 29 3.1k 1.2× 597 0.8× 262 0.3× 1.4k 2.0× 296 1.2× 60 3.9k

Countries citing papers authored by Stephen H. Devoto

Since Specialization
Citations

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

Fields of papers citing papers by Stephen H. Devoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen H. Devoto. 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 Stephen H. Devoto. The network helps show where Stephen H. Devoto may publish in the future.

Co-authorship network of co-authors of Stephen H. Devoto

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen H. Devoto. A scholar is included among the top collaborators of Stephen H. Devoto 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 Stephen H. Devoto. Stephen H. Devoto 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.
Clifford, Katherine, et al.. (2023). Vertebral pattern and morphology is determined during embryonic segmentation. Developmental Dynamics. 253(2). 204–214. 1 indexed citations
2.
Schnabl, Jake, et al.. (2020). Characterizing the diverse cells that associate with the developing commissures of the zebrafish forebrain. Developmental Neurobiology. 81(5). 671–695. 3 indexed citations
3.
Mosimann, Christian, et al.. (2019). Anterior trunk muscle shows mix of axial and appendicular developmental patterns. Developmental Dynamics. 248(10). 961–968. 4 indexed citations
4.
Devoto, Stephen H., et al.. (2016). Osmotic and Heat Stress Effects on Segmentation. PLoS ONE. 11(12). e0168335–e0168335. 3 indexed citations
5.
Ferguson, Chantal, Andrew C. Nelson, Guillaume Valentin, et al.. (2015). Tbx6, Mesp-b and Ripply1 regulate the onset of skeletal myogenesis in zebrafish. Development. 142(6). 1159–68. 41 indexed citations
6.
Bird, Nathan C., et al.. (2012). Fss/Tbx6 is required for central dermomyotome cell fate in zebrafish. Biology Open. 1(8). 806–814. 31 indexed citations
7.
Patterson, Sara E., Nathan C. Bird, & Stephen H. Devoto. (2010). BMP regulation of myogenesis in zebrafish. Developmental Dynamics. 239(3). 806–817. 33 indexed citations
8.
Patterson, Sara E., et al.. (2007). Growth in the larval zebrafish pectoral fin and trunk musculature. Developmental Dynamics. 237(2). 307–315. 51 indexed citations
9.
Stellabotte, Frank & Stephen H. Devoto. (2007). The teleost dermomyotome. Developmental Dynamics. 236(9). 2432–2443. 50 indexed citations
10.
Feng, Xuesong, et al.. (2006). Hedgehog acts directly on the zebrafish dermomyotome to promote myogenic differentiation. Developmental Biology. 300(2). 736–746. 82 indexed citations
11.
Hernández, L. Patricia, Sara E. Patterson, & Stephen H. Devoto. (2005). The development of muscle fiber type identity in zebrafish cranial muscles. Anatomy and Embryology. 209(4). 323–334. 55 indexed citations
12.
Hirsinger, Estelle, Frank Stellabotte, Stephen H. Devoto, & Monte Westerfield. (2004). Hedgehog signaling is required for commitment but not initial induction of slow muscle precursors. Developmental Biology. 275(1). 143–157. 76 indexed citations
13.
Barresi, Michael, et al.. (2001). Distinct mechanisms regulate slow-muscle development. Current Biology. 11(18). 1432–1438. 99 indexed citations
14.
Stickney, Heather L., Michael Barresi, & Stephen H. Devoto. (2000). Somite development in zebrafish. Developmental Dynamics. 219(3). 287–303. 236 indexed citations
15.
Schwarz, James K., Stephen H. Devoto, Eric Smith, et al.. (1993). Interactions of the p107 and Rb proteins with E2F during the cell proliferation response.. The EMBO Journal. 12(3). 1013–1020. 207 indexed citations
16.
Devoto, Stephen H., Maria Mudryj, Jonathon Pines, Tony Hunter, & Joseph R. Nevins. (1992). A cyclin A-protein kinase complex possesses sequence-specific DNA binding activity: p33cdk2 is a component of the E2F-cyclin A complex. Cell. 68(1). 167–176. 313 indexed citations
17.
Mudryj, Maria, Stephen H. Devoto, Scott W. Hiebert, et al.. (1991). Cell cycle regulation of the E2F transcription factor involves an interaction with cyclin A. Cell. 65(7). 1243–1253. 335 indexed citations
18.
Devoto, Stephen H.. (1990). Neuronal growth cone migration. Cellular and Molecular Life Sciences. 46(9). 916–922. 17 indexed citations
19.
Weigel, Ronald J., Stephen H. Devoto, & Joseph R. Nevins. (1990). Adenovirus 12S E1A gene represses differentiation of F9 teratocarcinoma cells.. Proceedings of the National Academy of Sciences. 87(24). 9878–9882. 22 indexed citations
20.
Barnstable, Colin J., Stephen H. Devoto, David Hicks, et al.. (1988). Cell differentiation and pattern formation in the developing mammalian retina. Neuroscience Research Supplements. 8. S27–S41. 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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