Sue L. Jaspersen

5.2k total citations
69 papers, 3.8k citations indexed

About

Sue L. Jaspersen is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Sue L. Jaspersen has authored 69 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 42 papers in Cell Biology and 12 papers in Plant Science. Recurrent topics in Sue L. Jaspersen's work include Microtubule and mitosis dynamics (39 papers), Nuclear Structure and Function (28 papers) and Genomics and Chromatin Dynamics (24 papers). Sue L. Jaspersen is often cited by papers focused on Microtubule and mitosis dynamics (39 papers), Nuclear Structure and Function (28 papers) and Genomics and Chromatin Dynamics (24 papers). Sue L. Jaspersen collaborates with scholars based in United States, Switzerland and Canada. Sue L. Jaspersen's co-authors include David O. Morgan, Mark Winey, Julia F. Charles, Christine J. Smoyer, Rachel Tinker-Kulberg, Jennifer M. Gardner, Thomas H. Giddings, Jay R. Unruh, Adriana Elba Martín and Craig L. Peterson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Sue L. Jaspersen

68 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sue L. Jaspersen United States 32 3.5k 1.9k 703 215 171 69 3.8k
Clarence S.M. Chan United States 25 3.1k 0.9× 1.9k 1.0× 1.1k 1.5× 172 0.8× 304 1.8× 28 3.4k
Christine Michaelis Canada 11 3.0k 0.8× 1.7k 0.9× 762 1.1× 172 0.8× 191 1.1× 18 3.2k
Shelley Sazer United States 30 2.8k 0.8× 1.3k 0.7× 321 0.5× 192 0.9× 286 1.7× 47 3.1k
Hiromi Maekawa Japan 18 2.3k 0.6× 1.1k 0.6× 390 0.6× 103 0.5× 99 0.6× 41 2.7k
Rosella Visintin Italy 17 3.1k 0.9× 2.5k 1.3× 890 1.3× 98 0.5× 299 1.7× 22 3.4k
M. Andrew Hoyt United States 40 5.3k 1.5× 4.6k 2.4× 1.2k 1.7× 210 1.0× 340 2.0× 50 6.0k
Joao Matos Switzerland 26 2.7k 0.8× 811 0.4× 338 0.5× 390 1.8× 270 1.6× 41 2.8k
Sebastiano Pasqualato Italy 22 2.0k 0.6× 1.6k 0.8× 362 0.5× 173 0.8× 211 1.2× 34 2.4k
Alexander Strunnikov United States 27 3.2k 0.9× 1.1k 0.6× 885 1.3× 411 1.9× 158 0.9× 46 3.5k
Brian K. Haarer United States 22 2.7k 0.8× 1.5k 0.8× 407 0.6× 133 0.6× 61 0.4× 35 3.2k

Countries citing papers authored by Sue L. Jaspersen

Since Specialization
Citations

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

Fields of papers citing papers by Sue L. Jaspersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue L. Jaspersen. 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 Sue L. Jaspersen. The network helps show where Sue L. Jaspersen may publish in the future.

Co-authorship network of co-authors of Sue L. Jaspersen

This figure shows the co-authorship network connecting the top 25 collaborators of Sue L. Jaspersen. A scholar is included among the top collaborators of Sue L. Jaspersen 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 Sue L. Jaspersen. Sue L. Jaspersen 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.
Varberg, Joseph M., Ludovic Gillet, Claudia Hernández-Armenta, et al.. (2022). Meiotic nuclear pore complex remodeling provides key insights into nuclear basket organization. The Journal of Cell Biology. 222(2). 15 indexed citations
2.
Varberg, Joseph M., et al.. (2022). Quantitative analysis of nuclear pore complex organization in Schizosaccharomyces pombe. Life Science Alliance. 5(7). e202201423–e202201423. 19 indexed citations
3.
Shelton, Shary N., Sarah E. Smith, Jay R. Unruh, & Sue L. Jaspersen. (2021). A distinct inner nuclear membrane proteome in Saccharomyces cerevisiae gametes. G3 Genes Genomes Genetics. 11(12). 3 indexed citations
4.
Varberg, Joseph M., et al.. (2020). High-Throughput Identification of Nuclear Envelope Protein Interactions in Schizosaccharomyces pombe Using an Arrayed Membrane Yeast-Two Hybrid Library. G3 Genes Genomes Genetics. 10(12). 4649–4663. 10 indexed citations
5.
6.
Smoyer, Christine J., Sarah E. Smith, Jennifer M. Gardner, et al.. (2019). Distribution of Proteins at the Inner Nuclear Membrane Is Regulated by the Asi1 E3 Ligase in Saccharomyces cerevisiae. Genetics. 211(4). 1269–1282. 23 indexed citations
7.
Seeger, Mark A., et al.. (2019). Structure and function of Spc42 coiled-coils in yeast centrosome assembly and duplication. Molecular Biology of the Cell. 30(12). 1505–1522. 8 indexed citations
8.
Ohnuki, Shinsuke, Bryan-Joseph San Luis, Melainia McClain, et al.. (2018). The budding yeast RSC complex maintains ploidy by promoting spindle pole body insertion. The Journal of Cell Biology. 217(7). 2445–2462. 7 indexed citations
9.
Nuckolls, Nicole L., María Angélica Bravo Núñez, Michael T. Eickbush, et al.. (2017). wtf genes are prolific dual poison-antidote meiotic drivers. eLife. 6. 76 indexed citations
10.
Liang, Kaiwei, Ashley R. Woodfin, Brian D. Slaughter, et al.. (2015). Mitotic Transcriptional Activation: Clearance of Actively Engaged Pol II via Transcriptional Elongation Control in Mitosis. Molecular Cell. 60(3). 435–445. 89 indexed citations
11.
Katta, Santharam S., Christine J. Smoyer, & Sue L. Jaspersen. (2013). Destination: inner nuclear membrane. Trends in Cell Biology. 24(4). 221–229. 83 indexed citations
12.
Lang, Claudia, et al.. (2010). Structural Mutants of the Spindle Pole Body Cause Distinct Alteration of Cytoplasmic Microtubules and Nuclear Dynamics in Multinucleated Hyphae. Molecular Biology of the Cell. 21(5). 753–766. 16 indexed citations
13.
Lang, Claudia, et al.. (2009). Mobility, Microtubule Nucleation and Structure of Microtubule-organizing Centers in Multinucleated Hyphae ofAshbya gossypii. Molecular Biology of the Cell. 21(1). 18–28. 30 indexed citations
14.
Jaspersen, Sue L. & Tim Stearns. (2008). Exploring the pole: an EMBO conference on centrosomes and spindle pole bodies. Nature Cell Biology. 10(12). 1375–1378. 5 indexed citations
15.
Takeo, Satomi, Laurence Florens, Stacie E. Hughes, et al.. (2007). The Inhibition of Polo Kinase by Matrimony Maintains G2 Arrest in the Meiotic Cell Cycle. PLoS Biology. 5(12). e323–e323. 65 indexed citations
16.
Meehl, Janet B., et al.. (2006). Anaphase Inactivation of the Spindle Checkpoint. Science. 313(5787). 680–684. 101 indexed citations
17.
18.
Jaspersen, Sue L., Adriana Elba Martín, Galina Glazko, et al.. (2006). The Sad1-UNC-84 homology domain in Mps3 interacts with Mps2 to connect the spindle pole body with the nuclear envelope. The Journal of Cell Biology. 174(5). 665–675. 109 indexed citations
19.
Jaspersen, Sue L., et al.. (2004). Cdc28/Cdk1 Regulates Spindle Pole Body Duplication through Phosphorylation of Spc42 and Mps1. Developmental Cell. 7(2). 263–274. 54 indexed citations
20.
Jaspersen, Sue L., Julia F. Charles, & David O. Morgan. (1999). Inhibitory phosphorylation of the APC regulator Hct1 is controlled by the kinase Cdc28 and the phosphatase Cdc14. Current Biology. 9(5). 227–236. 340 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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