Susan K. Dutcher

19.9k total citations · 2 hit papers
118 papers, 5.4k citations indexed

About

Susan K. Dutcher is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Susan K. Dutcher has authored 118 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 53 papers in Cell Biology and 47 papers in Genetics. Recurrent topics in Susan K. Dutcher's work include Microtubule and mitosis dynamics (51 papers), Photosynthetic Processes and Mechanisms (49 papers) and Protist diversity and phylogeny (45 papers). Susan K. Dutcher is often cited by papers focused on Microtubule and mitosis dynamics (51 papers), Photosynthetic Processes and Mechanisms (49 papers) and Protist diversity and phylogeny (45 papers). Susan K. Dutcher collaborates with scholars based in United States, Japan and France. Susan K. Dutcher's co-authors include Philip V. Bayly, Emanuel C. Trabuco, Eileen O’Toole, Mary E. Porter, David Luck, Stephen J. King, Thomas H. Giddings, Leland H. Hartwell, Huawen Lin and Amjad Horani and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Susan K. Dutcher

117 papers receiving 5.3k citations

Hit Papers

Characterizing the Major Structural Variant Alleles of th... 2019 2026 2021 2023 2019 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan K. Dutcher United States 41 3.8k 2.3k 2.3k 754 476 118 5.4k
Mary E. Porter United States 41 4.3k 1.1× 2.5k 1.1× 4.0k 1.8× 831 1.1× 153 0.3× 72 6.2k
Winfield S. Sale United States 43 3.7k 1.0× 2.2k 0.9× 3.5k 1.5× 1.0k 1.4× 138 0.3× 80 5.8k
Ritsu Kamiya Japan 51 4.6k 1.2× 2.9k 1.2× 4.5k 2.0× 2.1k 2.8× 263 0.6× 151 7.6k
Wallace F. Marshall United States 52 8.2k 2.1× 4.0k 1.7× 3.6k 1.6× 656 0.9× 198 0.4× 184 10.5k
G Piperno United States 37 4.6k 1.2× 1.8k 0.8× 3.4k 1.5× 730 1.0× 194 0.4× 46 6.0k
David R. Mitchell United States 40 2.4k 0.6× 1.6k 0.7× 1.9k 0.8× 616 0.8× 122 0.3× 63 3.4k
I. R. Gibbons United States 52 6.5k 1.7× 1.4k 0.6× 5.6k 2.5× 1.4k 1.9× 303 0.6× 130 10.7k
William J. Snell United States 39 2.7k 0.7× 1.6k 0.7× 1.1k 0.5× 322 0.4× 511 1.1× 80 3.9k
Dennis R. Diener United States 29 3.3k 0.9× 3.0k 1.3× 1.9k 0.8× 480 0.6× 160 0.3× 42 4.2k
Karl F. Lechtreck United States 33 3.0k 0.8× 2.6k 1.1× 1.5k 0.7× 330 0.4× 205 0.4× 89 3.7k

Countries citing papers authored by Susan K. Dutcher

Since Specialization
Citations

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

Fields of papers citing papers by Susan K. Dutcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan K. Dutcher. 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 Susan K. Dutcher. The network helps show where Susan K. Dutcher may publish in the future.

Co-authorship network of co-authors of Susan K. Dutcher

This figure shows the co-authorship network connecting the top 25 collaborators of Susan K. Dutcher. A scholar is included among the top collaborators of Susan K. Dutcher 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 Susan K. Dutcher. Susan K. Dutcher 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.
Brody, Steven L., Jiehong Pan, Tao Huang, et al.. (2025). Undocking of an extensive ciliary network induces proteostasis and cell fate switching resulting in severe primary ciliary dyskinesia. Science Translational Medicine. 17(783). eadp5173–eadp5173. 5 indexed citations
2.
Horani, Amjad, Lis C. Puga Molina, Celia M. Santi, et al.. (2023). The effect of Dnaaf5 gene dosage on primary ciliary dyskinesia phenotypes. JCI Insight. 8(11). 9 indexed citations
3.
Leung, Miguel Ricardo, Jianwei Zeng, Xiangli Wang, et al.. (2023). Structural specializations of the sperm tail. Cell. 186(13). 2880–2896.e17. 69 indexed citations breakdown →
4.
Bustamante-Marin, Ximena M., Amjad Horani, Wu‐Lin Charng, et al.. (2020). Mutation of CFAP57, a protein required for the asymmetric targeting of a subset of inner dynein arms in Chlamydomonas, causes primary ciliary dyskinesia. PLoS Genetics. 16(8). e1008691–e1008691. 28 indexed citations
5.
Abel, Haley, David E. Larson, Allison Regier, et al.. (2020). Mapping and characterization of structural variation in 17,795 human genomes. Nature. 583(7814). 83–89. 148 indexed citations
6.
Stormo, Gary D., et al.. (2020). Alternative Splicing During theChlamydomonasreinhardtiiCell Cycle. G3 Genes Genomes Genetics. 10(10). 3797–3810. 11 indexed citations
7.
Dutcher, Susan K.. (2019). Dynein tails: how to hitch a ride on an IFT train. Nature Structural & Molecular Biology. 26(9). 760–761. 1 indexed citations
8.
Audano, Peter A., Arvis Sulovari, Tina A. Graves-Lindsay, et al.. (2019). Characterizing the Major Structural Variant Alleles of the Human Genome. Cell. 176(3). 663–675.e19. 269 indexed citations breakdown →
9.
Lin, Huawen & Susan K. Dutcher. (2015). Genetic and genomic approaches to identify genes involved in flagellar assembly in Chlamydomonas reinhardtii. Methods in cell biology. 127. 349–386. 13 indexed citations
10.
O’Toole, Eileen, et al.. (2013). Katanin Localization Requires Triplet Microtubules in Chlamydomonas reinhardtii. PLoS ONE. 8(1). e53940–e53940. 13 indexed citations
11.
Bayly, Philip V., et al.. (2011). Propulsive Forces on the Flagellum during Locomotion of Chlamydomonas reinhardtii. Biophysical Journal. 100(11). 2716–2725. 71 indexed citations
12.
Wirschell, Maureen, Ryosuke Yamamoto, Laura A. Fox, et al.. (2011). An axonemal PP2A B‐subunit is required for PP2A localization and flagellar motility. Cytoskeleton. 68(7). 363–372. 19 indexed citations
13.
Hom, Erik, George B. Witman, Elizabeth H. Harris, et al.. (2011). A unified taxonomy for ciliary dyneins. Cytoskeleton. 68(10). 555–565. 52 indexed citations
14.
O’Toole, Eileen, Thomas H. Giddings, & Susan K. Dutcher. (2007). Understanding Microtubule Organizing Centers by Comparing Mutant and Wild‐Type Structures with Electron Tomography. Methods in cell biology. 79. 125–143. 35 indexed citations
15.
Iomini, Carlo, Linya Li, Wenjun Mo, Susan K. Dutcher, & G Piperno. (2006). Two Flagellar Genes, AGG2 and AGG3, Mediate Orientation to Light in Chlamydomonas. Current Biology. 16(11). 1147–1153. 39 indexed citations
16.
O’Toole, Eileen, Thomas H. Giddings, J. Richard McIntosh, & Susan K. Dutcher. (2003). Three-dimensional Organization of Basal Bodies from Wild-Type and δ-Tubulin Deletion Strains ofChlamydomonas reinhardtii. Molecular Biology of the Cell. 14(7). 2999–3012. 119 indexed citations
17.
Li, Jin Billy, Shaoping Lin, Hongmin Wu, et al.. (2003). Analysis of Chlamydomonas reinhardtii Genome Structure Using Large‐Scale Sequencing of Regions on Linkage Groups I and III. Journal of Eukaryotic Microbiology. 50(3). 145–155. 19 indexed citations
18.
Dutcher, Susan K., et al.. (1991). Reappraisal of the Genetic Map of Chlamydomonas reinhardtii. Journal of Heredity. 82(4). 295–301. 22 indexed citations
20.
Dutcher, Susan K., et al.. (1989). Genetic interactions of mutations affecting flagella and basal bodles in Chlamydomonas. Cell Motility and the Cytoskeleton. 14(1). 104–117. 17 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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