Travis J. Bailey

1.9k citations
12 papers · 1.3k · 1 hit paper · h-index 10

Impact in

Papers in

    • Retinal Development and Disorders 9
    • Developmental Biology and Gene Regulation 4
    • Zebrafish Biomedical Research Applications 3

Travis J. Bailey

12 papers receiving 1.3k citations

Hit Papers

The zebrafish as a model for complex tissue regeneration 2013 · 415 citations
4150+4+8Years since publication100200300400

Peers

Travis J. Bailey
Comparison fields: 5 of 88
  • Developmental Neuroscience 183
  • Cell Biology 373
  • Neurology 124
  • Ophthalmology 122
  • Molecular Biology 923
Replace Masato Hojo with:
Masato Hojo Japan
Tomoichiro Yamaai Japan
Kirsten Kuhlbrodt Germany
Heithem M. El‐Hodiri United States
Massimo Signore United Kingdom
Maria Idelson Israel
Mark V. Reedy United States
Sohyun Ahn United States
Federico Cremisi Italy
Qimin Gu United States
Travis J. Bailey relative to Masato Hojo Japan Masato Hojo's profile →
Citations per field
00.5×3.6×
Masato Hojo · 1×
Citations per year

Countries citing papers authored by Travis J. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Travis J. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis J. Bailey. 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 Travis J. Bailey. The network helps show where Travis J. Bailey may publish in the future.

Co-authors

The 25 scholars most cited alongside Travis J. Bailey, 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 Travis J. Bailey Line = papers co-authored together Travis J. Bailey links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
The zebrafish as a model for complex tissue regeneration
Hit paper breakdown →
2013415
2 2006217
3 2013163
4 2004135
5 2010109
6 201098
7 201294
8 201236
9 201433
10 201127
11
Regulation of development by Rx genes
20042
12 20111

About Travis J. Bailey

Travis J. Bailey is a scholar working on Molecular Biology, Cell Biology, Genetics, Ophthalmology and Immunology, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Retinal Development and Disorders (9 papers), Developmental Biology and Gene Regulation (4 papers), Zebrafish Biomedical Research Applications (3 papers), MicroRNA in disease regulation (2 papers), Pancreatic function and diabetes (1 paper), interferon and immune responses (1 paper), Neuroscience and Neural Engineering (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Developmental Neuroscience (183 citations), Cell Biology (373 citations), Neurology (124 citations), Ophthalmology (122 citations) and Molecular Biology (923 citations). Travis J. Bailey has collaborated with scholars based in United States. Frequent co-authors include David R. Hyde, Kenneth D. Poss, Matthew Gemberling, Ryne A. Gorsuch, Kristin Ackerman, Craig M. Nelson, Jacob E. Montgomery, Milan Jamrich, Sean C. Kassen and Ryan Thummel. Their work appears in journals such as Experimental Eye Research, Journal of Visualized Experiments, The Journal of Comparative Neurology, Journal of Neuroscience and The International Journal of Developmental Biology.

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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