Greg Runke
Impact in
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
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- Congenital heart defects research
- Developmental Biology and Gene Regulation
- Pluripotent Stem Cells Research
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- TGF-β signaling in diseases
Papers in
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- Congenital heart defects research 4
- Developmental Biology and Gene Regulation 4
- Mitochondrial Function and Pathology 3
- TGF-β signaling in diseases 2
- Photosynthetic Processes and Mechanisms 2
- Lipid Membrane Structure and Behavior 1
- Genomics and Phylogenetic Studies 1
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- Zebrafish Biomedical Research Applications 2
- Co-authors
- Mary C. Mullins (7 shared papers)Keith A. Mintzer (2 shared papers)Daniel S. Wagner (2 shared papers)Anthony P. Wiemelt (1 shared paper)Roland Dosch (1 shared paper)Jamie Trout (1 shared paper)Malcolm Whitman (1 shared paper)Michelle A. Lee (1 shared paper)
- Journals
- PLoS Genetics (2 papers)Development (1 paper)Developmental Cell (1 paper)Cell (1 paper)Developmental Biology (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Greg Runke
9 papers receiving 711 citations
Peers
Comparison fields: 5 of 77
- Cell Biology 151
- Molecular Biology 596
- Physiology 34
- Genetics 136
- Cancer Research 61
Countries citing papers authored by Greg Runke
This map shows the geographic impact of Greg Runke'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 Greg Runke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Runke more than expected).
Fields of papers citing papers by Greg Runke
This network shows the impact of papers produced by Greg Runke. 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 Greg Runke. The network helps show where Greg Runke may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Runke, 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 | 2002 | 225 | |
| 2 | 2004 | 192 | |
| 3 | 2001 | 138 | |
| 4 | 2002 | 62 | |
| 5 | 2009 | 44 | |
| 6 | 2009 | 21 | |
| 7 | 2006 | 19 | |
| 8 | 2020 | 14 | |
| 9 | 2000 | 12 |
About Greg Runke
Greg Runke is a scholar working on Molecular Biology, Cell Biology, Pediatrics, Perinatology and Child Health, Ecology and Obstetrics and Gynecology, having authored 9 papers that have together received 727 indexed citations. Recurring topics across this work include Congenital heart defects research (4 papers), Developmental Biology and Gene Regulation (4 papers), Mitochondrial Function and Pathology (3 papers), TGF-β signaling in diseases (2 papers), Zebrafish Biomedical Research Applications (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Lipid Membrane Structure and Behavior (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Cell Biology (151 citations), Molecular Biology (596 citations), Physiology (34 citations), Genetics (136 citations) and Cancer Research (61 citations). Greg Runke has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Mary C. Mullins, Keith A. Mintzer, Daniel S. Wagner, Anthony P. Wiemelt, Roland Dosch, Jamie Trout, Malcolm Whitman, Michelle A. Lee, Hyun Kook and Fabian Chen. Their work appears in journals such as PLoS Genetics, Development, Developmental Cell, Cell and 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.