Gretchen Kiser

1.9k citations
17 papers · 1.2k · 1 hit paper · h-index 13

Impact in

    • Microtubule and mitosis dynamics
    • DNA Repair Mechanisms
    • Fungal and yeast genetics research
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering

Papers in

Gretchen Kiser

17 papers receiving 1.2k citations

Gretchen Kiser's Hit Papers

Mitotic checkpoint genes in budding yeast and the dependence of mitosis on DNA replication and repair. 1994 · 661 citations
6610+10+21Years since publication200400600

Peers

Gretchen Kiser
Comparison fields: 5 of 91
  • Cell Biology 282
  • Molecular Biology 946
  • Aging 24
  • Neurology 140
  • Cancer Research 108
Replace Alexander Beeser with:
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Gretchen Kiser relative to Alexander Beeser United States Alexander Beeser's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gretchen Kiser

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Gretchen Kiser Line = papers co-authored together Gretchen Kiser links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Mitotic checkpoint genes in budding yeast and the dependence of mitosis on DNA replication and repair.
Hit paper breakdown →
1994661
2 1997114
3 200583
4 200480
5 199671
6 198945
7 200138
8 199438
9 200738
10 199519
11 200415
12 199814
13 200514
14 201810
15 19884
16
The Resource Allocation Program at the University of California, San Francisco: Getting More from Intramural Funding Bucks.
20141
17 19891

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 T-cell and B-cell Immunology (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Microtubule and mitosis dynamics (3 papers), Cystic Fibrosis Research Advances (3 papers), Nuclear Receptors and Signaling (3 papers), DNA Repair Mechanisms (2 papers), Nerve injury and regeneration (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cell Biology (282 citations), Molecular Biology (946 citations), Aging (24 citations), Neurology (140 citations) and Cancer Research (108 citations). Gretchen Kiser has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Ted Weinert, Leland H. Hartwell, Tamma Kaysser-Kranich, Rainer Schreiber, Renee M. Miller, J.R. Riordan, Karl Kunzelmann, Howard J. Federoff, Chockalingam Palaniappan and Joan L. Klotz. Their work appears in journals such as Immunogenetics, Molecular Biology of the Cell, Archives of Biochemistry and Biophysics, Journal of Neuroscience and Neurobiology of Aging.

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.

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