Suzanne Sandmeyer

4.4k total citations
76 papers, 3.5k citations indexed

About

Suzanne Sandmeyer is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Suzanne Sandmeyer has authored 76 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 35 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Suzanne Sandmeyer's work include Fungal and yeast genetics research (36 papers), RNA and protein synthesis mechanisms (26 papers) and Chromosomal and Genetic Variations (19 papers). Suzanne Sandmeyer is often cited by papers focused on Fungal and yeast genetics research (36 papers), RNA and protein synthesis mechanisms (26 papers) and Chromosomal and Genetic Variations (19 papers). Suzanne Sandmeyer collaborates with scholars based in United States, Germany and France. Suzanne Sandmeyer's co-authors include Douglas L. Chalker, Lori J. Hansen, Jacqueline Kirchner, Paul Börnstein, Virginia Bilanchone, Charles M. Connolly, Thomas M. Menees, Nadejda Beliakova‐Bethell, Byron Gallis and Maynard V. Olson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Suzanne Sandmeyer

76 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suzanne Sandmeyer United States 35 3.0k 1.6k 355 255 226 76 3.5k
Ramareddy V. Guntaka United States 25 1.4k 0.5× 358 0.2× 543 1.5× 162 0.6× 171 0.8× 68 2.4k
Daniel Schümperli Switzerland 40 3.4k 1.2× 373 0.2× 690 1.9× 258 1.0× 85 0.4× 90 4.1k
Beate Schwer United States 44 5.1k 1.7× 439 0.3× 296 0.8× 238 0.9× 153 0.7× 133 5.6k
Alan G. Wildeman Canada 24 2.0k 0.7× 419 0.3× 627 1.8× 94 0.4× 137 0.6× 54 3.0k
Gavin J. Knott United States 21 3.5k 1.2× 385 0.2× 504 1.4× 64 0.3× 140 0.6× 36 3.9k
Evan H. Whitehead United States 10 5.5k 1.8× 429 0.3× 1.0k 3.0× 65 0.3× 96 0.4× 20 6.2k
James W. Gautsch United States 15 1.4k 0.5× 232 0.1× 768 2.2× 222 0.9× 162 0.7× 23 2.5k
Joshua A. Baller United States 15 2.3k 0.8× 833 0.5× 494 1.4× 34 0.1× 104 0.5× 20 2.7k
Jacqueline Segall Canada 25 3.0k 1.0× 400 0.3× 689 1.9× 25 0.1× 95 0.4× 34 3.3k
Jeremy M. Rock United States 18 2.3k 0.8× 249 0.2× 739 2.1× 50 0.2× 546 2.4× 29 2.7k

Countries citing papers authored by Suzanne Sandmeyer

Since Specialization
Citations

This map shows the geographic impact of Suzanne Sandmeyer'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 Suzanne Sandmeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Sandmeyer more than expected).

Fields of papers citing papers by Suzanne Sandmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne Sandmeyer. 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 Suzanne Sandmeyer. The network helps show where Suzanne Sandmeyer may publish in the future.

Co-authorship network of co-authors of Suzanne Sandmeyer

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Sandmeyer. A scholar is included among the top collaborators of Suzanne Sandmeyer 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 Suzanne Sandmeyer. Suzanne Sandmeyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Patterson, Kurt, Chr̀istophe Magnan, Ivan Chang, et al.. (2019). Local features determine Ty3 targeting frequency at RNA polymerase III transcription start sites. Genome Research. 29(8). 1298–1309. 8 indexed citations
2.
Rowley, Paul A., Kurt Patterson, Suzanne Sandmeyer, & Sara L. Sawyer. (2018). Control of yeast retrotransposons mediated through nucleoporin evolution. PLoS Genetics. 14(4). e1007325–e1007325. 12 indexed citations
3.
Magnan, Chr̀istophe, James Yu, Ivan Chang, et al.. (2016). Sequence Assembly of Yarrowia lipolytica Strain W29/CLIB89 Shows Transposable Element Diversity. PLoS ONE. 11(9). e0162363–e0162363. 67 indexed citations
4.
Qi, Xiaojie, et al.. (2013). Directed DNA Shuffling of Retrovirus and Retrotransposon Integrase Protein Domains. PLoS ONE. 8(5). e63957–e63957. 4 indexed citations
5.
Bilanchone, Virginia, et al.. (2012). Sequence requirements for localization and packaging of Ty3 retroelement RNA. Virus Research. 171(2). 319–331. 8 indexed citations
6.
Kuznetsov, Yurii G., et al.. (2007). TY3 GAG3 protein forms ordered particles in Escherichia coli. Virology. 370(2). 223–227. 9 indexed citations
7.
Dildine, Sandra L., et al.. (2001). A Truncation Mutant of the 95-Kilodalton Subunit of Transcription Factor IIIC Reveals Asymmetry in Ty3 Integration. Molecular and Cellular Biology. 21(22). 7839–7851. 28 indexed citations
8.
Hu, Yuh‐Jyh, Suzanne Sandmeyer, Calvin S. McLaughlin, & Dennis Kibler. (2000). Combinatorial motif analysis and hypothesis generation on a genomic scale. Bioinformatics. 16(3). 222–232. 24 indexed citations
9.
Yieh, Lynn, George A. Kassavetis, E. Peter Geiduschek, & Suzanne Sandmeyer. (2000). The Brf and TATA-binding Protein Subunits of the RNA Polymerase III Transcription Factor IIIB Mediate Position-specific Integration of the Gypsy-like Element, Ty3. Journal of Biological Chemistry. 275(38). 29800–29807. 64 indexed citations
10.
Hu, Yuh‐Jyh, Suzanne Sandmeyer, & Dennis Kibler. (1999). Detecting Motifs from Sequences. International Conference on Machine Learning. 181–190. 5 indexed citations
11.
Seol, Jaeho, R. M. Renny Feldman, Wolfgang Zachariae, et al.. (1999). Cdc53/cullin and the essential Hrt1 RING-H2 subunit of SCF define a ubiquitin ligase module that activates the E2 enzyme Cdc34. Genes & Development. 13(12). 1614–1626. 343 indexed citations
12.
Sandmeyer, Suzanne. (1998). Targeting Transposition: At Home in the Genome: Figure 1.. Genome Research. 8(5). 416–418. 27 indexed citations
13.
Dildine, Sandra L. & Suzanne Sandmeyer. (1997). Integration of the yeast retrovirus-like element Ty3 upstream of a human tRNA gene expressed in yeast. Gene. 194(2). 227–233. 2 indexed citations
14.
Connolly, Charles M. & Suzanne Sandmeyer. (1997). RNA polymerase III interferes with Ty3 integration. FEBS Letters. 405(3). 305–311. 24 indexed citations
15.
Sandmeyer, Suzanne, et al.. (1995). Ty3 transposes in mating populations of yeast: a novel transposition assay for Ty3.. Genetics. 139(1). 81–94. 42 indexed citations
16.
Boeke, Jef D. & Suzanne Sandmeyer. (1991). 4 Yeast Transposable Elements. Cold Spring Harbor Monograph Archive. 193–261. 22 indexed citations
17.
Sandmeyer, Suzanne, et al.. (1991). Adjacent pol II and pol III promoters: transcription of the yeast retrotransposon Ty3 and a target tRNA gene. Nucleic Acids Research. 19(6). 1317–1324. 54 indexed citations
18.
Chalker, Douglas L. & Suzanne Sandmeyer. (1990). Transfer RNA genes are genomic targets for de Novo transposition of the yeast retrotransposon Ty3.. Genetics. 126(4). 837–850. 86 indexed citations
19.
Hansen, Lori J., Douglas L. Chalker, & Suzanne Sandmeyer. (1988). Ty3, a Yeast Retrotransposon Associated with tRNA Genes, Has Homology to Animal Retroviruses. Molecular and Cellular Biology. 8(12). 5245–5256. 151 indexed citations
20.
Sandmeyer, Suzanne, et al.. (1988). Sigma elements are position-specific for many different yeast tRNA genes. Nucleic Acids Research. 16(4). 1499–1515. 47 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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