Gretchen Kiser
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Aging top 10%
Papers in
-
- DNA Repair Mechanisms 2
-
- Nuclear Receptors and Signaling 3
- Nerve injury and regeneration 2
- Co-authors
- Ted Weinert (3 shared papers)Leland H. Hartwell (1 shared paper)Rainer Schreiber (1 shared paper)Karl Kunzelmann (1 shared paper)Renee M. Miller (4 shared papers)J.R. Riordan (1 shared paper)Tamma Kaysser-Kranich (4 shared papers)Howard J. Federoff (4 shared papers)
- Journals
- Immunogenetics (2 papers)Yeast (1 paper)Experimental Neurology (1 paper)FEBS Letters (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Gretchen Kiser
17 papers receiving 1.2k citations
Gretchen Kiser's Hit Papers
Peers
Comparison fields: 5 of 91
- Cell Biology 287
- Aging 26
- Molecular Biology 965
- Neurology 141
- Cellular and Molecular Neuroscience 145
Countries citing papers authored by Gretchen Kiser
This map shows the geographic impact of Gretchen Kiser'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 Gretchen Kiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gretchen Kiser more than expected).
Fields of papers citing papers by Gretchen Kiser
This network shows the impact of papers produced by Gretchen Kiser. 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 Gretchen Kiser. The network helps show where Gretchen Kiser may publish in the future.
Co-authors
The 25 scholars most cited alongside Gretchen Kiser, 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 | Mitotic checkpoint genes in budding yeast and the dependence of mitosis on DNA replication and repair. Hit paper breakdown → | 1994 | 662 |
| 2 | 1997 | 114 | |
| 3 | 2005 | 83 | |
| 4 | 2004 | 82 | |
| 5 | 1996 | 71 | |
| 6 | 1989 | 45 | |
| 7 | 1994 | 38 | |
| 8 | 2001 | 38 | |
| 9 | 2007 | 36 | |
| 10 | 1995 | 19 | |
| 11 | 2004 | 15 | |
| 12 | 2005 | 14 | |
| 13 | 1998 | 14 | |
| 14 | 2018 | 10 | |
| 15 | 1988 | 4 | |
| 16 | The Resource Allocation Program at the University of California, San Francisco: Getting More from Intramural Funding Bucks. | 2014 | 1 |
| 17 | 1989 | 1 |
About Gretchen Kiser
Gretchen Kiser is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Cell Biology and Immunology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), T-cell and B-cell Immunology (4 papers), Cystic Fibrosis Research Advances (3 papers), Nuclear Receptors and Signaling (3 papers), Microtubule and mitosis dynamics (3 papers), Nerve injury and regeneration (2 papers), Cancer-related Molecular Pathways (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cell Biology (287 citations), Aging (26 citations), Molecular Biology (965 citations), Neurology (141 citations) and Cellular and Molecular Neuroscience (145 citations). Gretchen Kiser has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Ted Weinert, Leland H. Hartwell, Rainer Schreiber, Karl Kunzelmann, Renee M. Miller, J.R. Riordan, Tamma Kaysser-Kranich, Howard J. Federoff, Chockalingam Palaniappan and Joan L. Klotz. Their work appears in journals such as Immunogenetics, Yeast, Experimental Neurology, FEBS Letters and Journal of Neuroscience.
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.