Ted Zerucha
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Developmental Biology and Gene Regulation
- Congenital heart defects research
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
Papers in
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- Developmental Biology and Gene Regulation 10
- Congenital heart defects research 3
- Genomics and Chromatin Dynamics 3
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- Zebrafish Biomedical Research Applications 2
- Hippo pathway signaling and YAP/TAZ 1
- Co-authors
- Marc Ekker (7 shared papers)Guoying Karen Yu (2 shared papers)John L.R. Rubenstein (2 shared papers)Joshua R. Schultz (1 shared paper)Gary Hatch (1 shared paper)Qiaoming Long (1 shared paper)Thorsten Stühmer (1 shared paper)Victoria Prince (1 shared paper)
- Journals
- Biochemistry and Cell Biology (4 papers)Developmental Biology (2 papers)Journal of Neuroscience (1 paper)Journal of Experimental Zoology (1 paper)Mechanisms of Development (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Ted Zerucha
11 papers receiving 627 citations
Peers
Comparison fields: 5 of 58
- Developmental Neuroscience 109
- Molecular Biology 508
- Cell Biology 112
- Cellular and Molecular Neuroscience 120
- Sensory Systems 30
Countries citing papers authored by Ted Zerucha
This map shows the geographic impact of Ted Zerucha'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 Ted Zerucha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Zerucha more than expected).
Fields of papers citing papers by Ted Zerucha
This network shows the impact of papers produced by Ted Zerucha. 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 Ted Zerucha. The network helps show where Ted Zerucha may publish in the future.
Co-authors
The 15 scholars most cited alongside Ted Zerucha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 291 | |
| 2 | 1997 | 116 | |
| 3 | 2000 | 53 | |
| 4 | 2000 | 45 | |
| 5 | 2000 | 36 | |
| 6 | 2001 | 33 | |
| 7 | 2001 | 30 | |
| 8 | 1992 | 26 | |
| 9 | 1997 | 13 | |
| 10 | 1992 | 4 | |
| 11 | 1997 | 4 | |
| 12 | 2011 | 0 |
About Ted Zerucha
Ted Zerucha is a scholar working on Molecular Biology, Cell Biology, Genetics, Plant Science and Immunology, having authored 12 papers that have together received 651 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (10 papers), Congenital heart defects research (3 papers), Genomics and Chromatin Dynamics (3 papers), Animal Genetics and Reproduction (2 papers), interferon and immune responses (2 papers), Zebrafish Biomedical Research Applications (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Developmental Neuroscience (109 citations), Molecular Biology (508 citations), Cell Biology (112 citations), Cellular and Molecular Neuroscience (120 citations) and Sensory Systems (30 citations). Ted Zerucha has collaborated with scholars based in Canada and United States. Frequent co-authors include Marc Ekker, Guoying Karen Yu, John L.R. Rubenstein, Joshua R. Schultz, Gary Hatch, Qiaoming Long, Thorsten Stühmer, Victoria Prince, Hua Shen and Joy M. Richman. Their work appears in journals such as Biochemistry and Cell Biology, Developmental Biology, Journal of Neuroscience, Journal of Experimental Zoology and Mechanisms of Development.
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.