Gretchen Kiser

1.9k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Gretchen Kiser is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Gretchen Kiser has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Gretchen Kiser's work include Parkinson's Disease Mechanisms and Treatments (4 papers), T-cell and B-cell Immunology (4 papers) and Nuclear Receptors and Signaling (3 papers). Gretchen Kiser is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (4 papers), T-cell and B-cell Immunology (4 papers) and Nuclear Receptors and Signaling (3 papers). Gretchen Kiser collaborates with scholars based in United States, Germany and Russia. Gretchen Kiser's co-authors include Ted Weinert, Leland H. Hartwell, Howard J. Federoff, Karl Kunzelmann, J.R. Riordan, Rainer Schreiber, Renee M. Miller, Tamma Kaysser-Kranich, Chockalingam Palaniappan and Joan L. Klotz and has published in prestigious journals such as Nature, Journal of Neuroscience and Genes & Development.

In The Last Decade

Gretchen Kiser

17 papers receiving 1.2k citations

Hit Papers

Mitotic checkpoint genes in budding yeast and the depende... 1994 2026 2004 2015 1994 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gretchen Kiser United States 13 965 287 158 145 141 17 1.2k
Sheryl L. Meyer United States 19 716 0.7× 132 0.5× 154 1.0× 164 1.1× 78 0.6× 31 1.0k
Ruilin Tian China 14 1.1k 1.1× 273 1.0× 96 0.6× 93 0.6× 79 0.6× 30 1.5k
Alexander Reuter Germany 17 670 0.7× 339 1.2× 74 0.5× 137 0.9× 197 1.4× 25 1.3k
Thimo Kurz United Kingdom 25 2.1k 2.2× 506 1.8× 390 2.5× 76 0.5× 108 0.8× 30 2.4k
Özge Karayel Germany 17 938 1.0× 278 1.0× 199 1.3× 93 0.6× 282 2.0× 31 1.4k
Ken Hayashi Japan 14 625 0.6× 358 1.2× 181 1.1× 60 0.4× 58 0.4× 24 947
Namratha Sastry United States 10 583 0.6× 100 0.3× 184 1.2× 147 1.0× 142 1.0× 11 956
Jennifer J. Carlisle Michel United States 14 1.7k 1.8× 267 0.9× 313 2.0× 164 1.1× 39 0.3× 14 2.0k
Ralph Garippa United States 21 901 0.9× 136 0.5× 277 1.8× 277 1.9× 29 0.2× 42 1.3k
Ivano Condò Italy 19 1.1k 1.1× 250 0.9× 114 0.7× 414 2.9× 100 0.7× 30 1.3k

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-authorship network of co-authors of Gretchen Kiser

This figure shows the co-authorship network connecting the top 25 collaborators of Gretchen Kiser. A scholar is included among the top collaborators of Gretchen Kiser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gretchen Kiser. Gretchen Kiser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Kiser, Gretchen. (2018). No more first authors, no more last authors. Nature. 561(7724). 435–435. 10 indexed citations
2.
Kiser, Gretchen, et al.. (2014). The Resource Allocation Program at the University of California, San Francisco: Getting More from Intramural Funding Bucks.. 45(1). 81–104. 1 indexed citations
3.
Miller, Renee M., Gretchen Kiser, Tamma Kaysser-Kranich, et al.. (2007). Wild-type and mutant α-synuclein induce a multi-component gene expression profile consistent with shared pathophysiology in different transgenic mouse models of PD. Experimental Neurology. 204(1). 421–432. 36 indexed citations
4.
Miller, Renee M., et al.. (2005). Temporal evolution of mouse striatal gene expression following MPTP injury. Neurobiology of Aging. 26(5). 765–775. 14 indexed citations
5.
Miller, Renee M., et al.. (2005). Robust dysregulation of gene expression in substantia nigra and striatum in Parkinson's disease. Neurobiology of Disease. 21(2). 305–313. 83 indexed citations
6.
Thomas, Nick, et al.. (2004). Characterisation and Gene Expression Profiling of a Stable Cell Line Expressing a Cell Cycle GFP Sensor. Cell Cycle. 4(1). 191–195. 15 indexed citations
7.
Miller, Renee M., Linda M. Callahan, Cindy Casaceli, et al.. (2004). Dysregulation of Gene Expression in the 1-Methyl-4-Phenyl-1,2,3,6-Tetrahydropyridine-Lesioned Mouse Substantia Nigra. Journal of Neuroscience. 24(34). 7445–7454. 82 indexed citations
8.
Kiser, Gretchen, Martina Gentzsch, Elisabetta Balzi, et al.. (2001). Expression and Degradation of the Cystic Fibrosis Transmembrane Conductance Regulator in Saccharomyces cerevisiae. Archives of Biochemistry and Biophysics. 390(2). 195–205. 38 indexed citations
9.
Kartner, Norbert, et al.. (1998). [46] Heterologous expression systems for study of cystic fibrosis transmembrane conductance regulator. Methods in enzymology on CD-ROM/Methods in enzymology. 292. 616–629. 14 indexed citations
10.
Kunzelmann, Karl, Gretchen Kiser, Rainer Schreiber, & J.R. Riordan. (1997). Inhibition of epithelial Na+currents by intracellular domains of the cystic fibrosis transmembrane conductance regulator. FEBS Letters. 400(3). 341–344. 114 indexed citations
11.
Kiser, Gretchen & Ted Weinert. (1996). Distinct roles of yeast MEC and RAD checkpoint genes in transcriptional induction after DNA damage and implications for function.. Molecular Biology of the Cell. 7(5). 703–718. 71 indexed citations
12.
Kiser, Gretchen & Ted Weinert. (1995). IV. Yeast sequencing reports. GUF1, a gene encoding a novel evolutionarily conserved gtpase in budding yeast. Yeast. 11(13). 1311–1316. 19 indexed citations
13.
Wang, Kai, Joan L. Klotz, Gretchen Kiser, et al.. (1994). Organization of the V Gene Segments in Mouse T-Cell Antigen Receptor α/δ Locus. Genomics. 20(3). 419–428. 38 indexed citations
14.
Weinert, Ted, Gretchen Kiser, & Leland H. Hartwell. (1994). Mitotic checkpoint genes in budding yeast and the dependence of mitosis on DNA replication and repair.. Genes & Development. 8(6). 652–665. 662 indexed citations breakdown →
15.
Klotz, Joan L., Richard K. Barth, Gretchen Kiser, Leroy Hood, & Mitchell Kronenberg. (1989). Restriction fragment length polymorphisms of the mouse T-cell receptor gene families. Immunogenetics. 29(3). 191–201. 45 indexed citations
16.
Klotz, Joan L., Richard K. Barth, Gretchen Kiser, L Hood, & Mitchell Kronenberg. (1989). Restriction fragment length polymorphisms of the mouse T-cell receptor gene families. Immunogenetics. 30(3). 235–235. 1 indexed citations
17.
Klotz, Joan L., Gretchen Kiser, & Mitchell Kronenberg. (1988). Molecular and serological diversity of anti-DNA autoantibodies from NZB and (NZB × NZW) F1 mice. Immunology Letters. 19(4). 341–349. 4 indexed citations

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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