Daniel E. Kehoe
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research
Papers in
-
- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 1
- Retinoids in leukemia and cellular processes 1
- Surgery 4
- Tissue Engineering and Regenerative Medicine 2
- Pancreatic function and diabetes 2
- Co-authors
- Emmanuel S. Tzanakakis (4 shared papers)Donghui Jing (4 shared papers)Lye T. Lock (2 shared papers)Aletta C. Schnitzler (2 shared papers)Peter J. Rapiejko (2 shared papers)Julie Murrell (3 shared papers)Martha Rook (3 shared papers)Sandhya Punreddy (3 shared papers)
- Journals
- Biochemical Engineering Journal (2 papers)Journal of Cellular Biochemistry (1 paper)Stem Cells and Development (1 paper)Tissue Engineering Part A (1 paper)Biotechnology Progress (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Daniel E. Kehoe
7 papers receiving 481 citations
Peers
Comparison fields: 5 of 59
- Genetics 111
- Biomedical Engineering 286
- Molecular Biology 312
- Biomaterials 58
- Surgery 156
Countries citing papers authored by Daniel E. Kehoe
This map shows the geographic impact of Daniel E. Kehoe'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 Daniel E. Kehoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Kehoe more than expected).
Fields of papers citing papers by Daniel E. Kehoe
This network shows the impact of papers produced by Daniel E. Kehoe. 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 Daniel E. Kehoe. The network helps show where Daniel E. Kehoe may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniel E. Kehoe, 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 | 2009 | 210 | |
| 2 | 2016 | 106 | |
| 3 | 2015 | 88 | |
| 4 | 2008 | 42 | |
| 5 | 2012 | 29 | |
| 6 | 2010 | 20 | |
| 7 | 2014 | 1 |
About Daniel E. Kehoe
Daniel E. Kehoe is a scholar working on Molecular Biology, Surgery, Biomedical Engineering, Genetics and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 496 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), 3D Printing in Biomedical Research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Mesenchymal stem cell research (2 papers), Pancreatic function and diabetes (2 papers), Nuclear Receptors and Signaling (1 paper), CRISPR and Genetic Engineering (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Genetics (111 citations), Biomedical Engineering (286 citations), Molecular Biology (312 citations), Biomaterials (58 citations) and Surgery (156 citations). Daniel E. Kehoe has collaborated with scholars based in United States and Germany. Frequent co-authors include Emmanuel S. Tzanakakis, Donghui Jing, Lye T. Lock, Aletta C. Schnitzler, Peter J. Rapiejko, Julie Murrell, Martha Rook, Sandhya Punreddy, Abhirath Parikh and Qiang Feng. Their work appears in journals such as Biochemical Engineering Journal, Journal of Cellular Biochemistry, Stem Cells and Development, Tissue Engineering Part A and Biotechnology Progress.
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.