Ben D. Cox
Impact in
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
- Cellular Mechanics and Interactions
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- Congenital heart defects research
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Developmental Biology and Gene Regulation
- Epigenetics and DNA Methylation
Papers in
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- Congenital heart defects research 5
- Developmental Biology and Gene Regulation 3
- Pluripotent Stem Cells Research 2
- Protein Degradation and Inhibitors 1
- Sphingolipid Metabolism and Signaling 1
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- Hippo pathway signaling and YAP/TAZ 5
- Co-authors
- Kenneth D. Poss (7 shared papers)Stefano Di Talia (4 shared papers)Jingli Cao (3 shared papers)Amy L. Dickson (3 shared papers)Alessandro De Simone (3 shared papers)Valerie A. Tornini (3 shared papers)Kyle M. Miller (2 shared papers)Jianhong Ou (2 shared papers)
- Journals
- Development (3 papers)Developmental Cell (3 papers)Genes & Development (1 paper)Current Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Ben D. Cox
10 papers receiving 773 citations
Peers
Comparison fields: 5 of 89
- Cell Biology 176
- Molecular Biology 627
- Aging 12
- Biophysics 23
- Cancer Research 60
Countries citing papers authored by Ben D. Cox
This map shows the geographic impact of Ben D. Cox'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 Ben D. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben D. Cox more than expected).
Fields of papers citing papers by Ben D. Cox
This network shows the impact of papers produced by Ben D. Cox. 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 Ben D. Cox. The network helps show where Ben D. Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben D. Cox, 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 | 2015 | 182 | |
| 2 | 2021 | 107 | |
| 3 | 2015 | 92 | |
| 4 | 2017 | 91 | |
| 5 | 2013 | 87 | |
| 6 | 2019 | 84 | |
| 7 | 2016 | 66 | |
| 8 | 2018 | 36 | |
| 9 | 2012 | 22 | |
| 10 | 2019 | 9 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Ben D. Cox
Ben D. Cox is a scholar working on Molecular Biology, Cell Biology, Paleontology, Genetics and Rehabilitation, having authored 12 papers that have together received 776 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (5 papers), Congenital heart defects research (5 papers), Developmental Biology and Gene Regulation (3 papers), Marine Invertebrate Physiology and Ecology (2 papers), Pluripotent Stem Cells Research (2 papers), Protein Degradation and Inhibitors (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Cell Biology (176 citations), Molecular Biology (627 citations), Aging (12 citations), Biophysics (23 citations) and Cancer Research (60 citations). Ben D. Cox has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Kenneth D. Poss, Stefano Di Talia, Jingli Cao, Amy L. Dickson, Alessandro De Simone, Valerie A. Tornini, Kyle M. Miller, Jianhong Ou, Jennifer S. Brodbelt and François Aymard. Their work appears in journals such as Development, Developmental Cell, Genes & Development, Current Biology and Nature Communications.
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.