Keith A. Mintzer
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Zebrafish Biomedical Research Applications
- Cellular Mechanics and Interactions
- Physiology top 5%
- Lysosomal Storage Disorders Research
Papers in
-
- Fungal and yeast genetics research 4
- Developmental Biology and Gene Regulation 3
- Protein Kinase Regulation and GTPase Signaling 2
- 14-3-3 protein interactions 2
- Congenital heart defects research 2
- TGF-β signaling in diseases 1
-
- Zebrafish Biomedical Research Applications 2
- Co-authors
- Mary C. Mullins (4 shared papers)Jennifer Tucker (1 shared paper)Anthony P. Wiemelt (2 shared papers)Daniel S. Wagner (2 shared papers)Greg Runke (2 shared papers)Roland Dosch (2 shared papers)Jeffrey Field (4 shared papers)Malcolm Whitman (1 shared paper)
- Journals
- Developmental Cell (3 papers)Cellular Signalling (2 papers)Nature (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Keith A. Mintzer
9 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 75
- Cell Biology 394
- Physiology 72
- Molecular Biology 768
- Physiology 189
- Genetics 168
Countries citing papers authored by Keith A. Mintzer
This map shows the geographic impact of Keith A. Mintzer'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 Keith A. Mintzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith A. Mintzer more than expected).
Fields of papers citing papers by Keith A. Mintzer
This network shows the impact of papers produced by Keith A. Mintzer. 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 Keith A. Mintzer. The network helps show where Keith A. Mintzer may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith A. Mintzer, 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 | 1992 | 245 | |
| 2 | 2004 | 192 | |
| 3 | 2008 | 177 | |
| 4 | 2001 | 138 | |
| 5 | 2004 | 115 | |
| 6 | 1996 | 114 | |
| 7 | 1994 | 40 | |
| 8 | 1999 | 19 | |
| 9 | 1995 | 9 |
About Keith A. Mintzer
Keith A. Mintzer is a scholar working on Molecular Biology, Cell Biology, Genetics, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Developmental Biology and Gene Regulation (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Zebrafish Biomedical Research Applications (2 papers), 14-3-3 protein interactions (2 papers), Congenital heart defects research (2 papers), TGF-β signaling in diseases (1 paper) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Cell Biology (394 citations), Physiology (72 citations), Molecular Biology (768 citations), Physiology (189 citations) and Genetics (168 citations). Keith A. Mintzer has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Mary C. Mullins, Jennifer Tucker, Anthony P. Wiemelt, Daniel S. Wagner, Greg Runke, Roland Dosch, Jeffrey Field, Malcolm Whitman, Michelle A. Lee and Jamie Trout. Their work appears in journals such as Developmental Cell, Cellular Signalling, Nature, Methods in enzymology on CD-ROM/Methods in enzymology and Molecular and Cellular 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.