Jared C. Talbot
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Aging top 10%
Papers in
-
- Developmental Biology and Gene Regulation 8
- Congenital heart defects research 7
- RNA Research and Splicing 3
- Muscle Physiology and Disorders 3
-
- Zebrafish Biomedical Research Applications 6
- Co-authors
- Lisa Maves (1 shared paper)Sharon L. Amacher (8 shared papers)Charles B. Kimmel (6 shared papers)Stephen L. Johnson (1 shared paper)Macie B. Walker (2 shared papers)David W. Stock (1 shared paper)Craig T. Miller (1 shared paper)Mélanie Debiais‐Thibaud (2 shared papers)
- Journals
- Developmental Biology (6 papers)Development (4 papers)Developmental Dynamics (3 papers)Journal of Neuroscience (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesSingaporeGermany
In The Last Decade
Jared C. Talbot
20 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 102
- Cell Biology 263
- Aging 20
- Molecular Biology 703
- Developmental Neuroscience 41
- Genetics 74
Countries citing papers authored by Jared C. Talbot
This map shows the geographic impact of Jared C. Talbot'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 Jared C. Talbot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared C. Talbot more than expected).
Fields of papers citing papers by Jared C. Talbot
This network shows the impact of papers produced by Jared C. Talbot. 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 Jared C. Talbot. The network helps show where Jared C. Talbot may publish in the future.
Co-authors
The 25 scholars most cited alongside Jared C. Talbot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 279 | |
| 2 | 2010 | 124 | |
| 3 | 2014 | 99 | |
| 4 | 2006 | 94 | |
| 5 | 2010 | 80 | |
| 6 | 2017 | 56 | |
| 7 | 2017 | 38 | |
| 8 | 2010 | 38 | |
| 9 | 2016 | 31 | |
| 10 | 2022 | 26 | |
| 11 | 2013 | 23 | |
| 12 | 2012 | 23 | |
| 13 | 2016 | 21 | |
| 14 | 2020 | 19 | |
| 15 | 2017 | 16 | |
| 16 | 2014 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2015 | 11 | |
| 19 | 2020 | 6 | |
| 20 | 2023 | 5 |
About Jared C. Talbot
Jared C. Talbot is a scholar working on Molecular Biology, Cell Biology, Genetics, Nature and Landscape Conservation and Genetics, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (8 papers), Congenital heart defects research (7 papers), Zebrafish Biomedical Research Applications (6 papers), RNA Research and Splicing (3 papers), Cancer-related molecular mechanisms research (3 papers), Ichthyology and Marine Biology (3 papers), Muscle Physiology and Disorders (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Cell Biology (263 citations), Aging (20 citations), Molecular Biology (703 citations), Developmental Neuroscience (41 citations) and Genetics (74 citations). Jared C. Talbot has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include Lisa Maves, Sharon L. Amacher, Charles B. Kimmel, Stephen L. Johnson, Macie B. Walker, David W. Stock, Craig T. Miller, Mélanie Debiais‐Thibaud, Ryan B. MacDonald and Marc Ekker. Their work appears in journals such as Developmental Biology, Development, Developmental Dynamics, Journal of Neuroscience and PLoS Genetics.
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.