Stephen H. Devoto

3.8k citations
36 papers · 3.3k indexed · 1 hit paper · h-index 23
    • Zebrafish Biomedical Research Applications 9
    • Cellular transport and secretion 4
    • Developmental Biology and Gene Regulation 17
    • Congenital heart defects research 13
    • Hedgehog Signaling Pathway Studies 5
  • Oncology top 5%
    • Cancer-related Molecular Pathways 5
  • Genetics top 2%
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5
    • Virus-based gene therapy research 4

Stephen H. Devoto

36 papers receiving 3.2k citations

Hit Papers

Identification of separate slow and fast muscle precursor...5771996202620062016100200300400500

Peers

Stephen H. Devoto
Comparison fields: 5 of 98
  • Cell Biology 703
  • Molecular Biology 2.5k
  • Developmental Neuroscience 141
  • Oncology 788
  • Genetics 793
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Stephen H. Devoto relative to Jeffrey J. Essner United States Jeffrey J. Essner's profile →
Citations per field
00.5×1.5×2.5×
Jeffrey J. Essner · 1×
Citations per year

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

The 25 scholars most cited alongside Stephen H. Devoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen H. Devoto Line = papers co-authored together Stephen H. Devoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20203
3 20163
4 201541
5 201231
6 20118
7 201033
8 200751
9 200750
10 200682
11 200555
12 200476
13 200199
14 2000236
15 1993207
16 1992313
17 1991335
18 199144
19 199017
20 198812

About Stephen H. Devoto

Stephen H. Devoto is a scholar working on Cell Biology, Developmental Neuroscience and Molecular Biology, having authored 36 papers that have together received 3.3k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (17 papers), Congenital heart defects research (13 papers), Zebrafish Biomedical Research Applications (9 papers), Hedgehog Signaling Pathway Studies (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Cancer-related Molecular Pathways (5 papers), Virus-based gene therapy research (4 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Cell Biology (703 citations), Molecular Biology (2.5k citations) and Developmental Neuroscience (141 citations). Stephen H. Devoto has collaborated with scholars based in United States, Austria and United Kingdom. Frequent 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. Their work appears in journals such as Developmental Dynamics, Development, Developmental Biology, Cell and Developmental Neurobiology.

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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