Christine Sütterlin

2.8k total citations
37 papers, 2.3k citations indexed

About

Christine Sütterlin is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Christine Sütterlin has authored 37 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Cell Biology and 11 papers in Epidemiology. Recurrent topics in Christine Sütterlin's work include Cellular transport and secretion (15 papers), Microtubule and mitosis dynamics (14 papers) and Reproductive tract infections research (10 papers). Christine Sütterlin is often cited by papers focused on Cellular transport and secretion (15 papers), Microtubule and mitosis dynamics (14 papers) and Reproductive tract infections research (10 papers). Christine Sütterlin collaborates with scholars based in United States, Switzerland and Italy. Christine Sütterlin's co-authors include Vivek Malhotra, Howard Riezman, Antonino Colanzi, Andrew Kodani, Pascal Mäser, Ronald Kaminsky, Anastasia Kralli, Ming Tan, Arrate Mallabiabarrena and N. Rao Movva and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Christine Sütterlin

36 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine Sütterlin United States 22 1.3k 1.2k 556 242 214 37 2.3k
Nobumichi Furuta Japan 14 1.3k 1.0× 826 0.7× 1.2k 2.2× 308 1.3× 278 1.3× 20 2.5k
Aymelt Itzen Germany 29 1.8k 1.3× 1.2k 1.0× 329 0.6× 267 1.1× 39 0.2× 75 2.9k
Theresa H. Ward United Kingdom 18 858 0.7× 638 0.5× 366 0.7× 97 0.4× 92 0.4× 24 1.6k
Coenraad Kuijl Netherlands 20 1.3k 1.0× 919 0.8× 519 0.9× 258 1.1× 73 0.3× 35 2.8k
Simon Moshiach United States 13 925 0.7× 510 0.4× 915 1.6× 430 1.8× 128 0.6× 16 2.2k
C J Beckers United States 12 975 0.7× 859 0.7× 475 0.9× 106 0.4× 134 0.6× 20 1.9k
Sandrine Uttenweiler‐Joseph France 21 1.7k 1.3× 991 0.9× 219 0.4× 318 1.3× 55 0.3× 37 2.5k
Henry Lackland United States 19 952 0.7× 606 0.5× 364 0.7× 1.1k 4.7× 178 0.8× 33 2.2k
Cinzia Progida Norway 26 804 0.6× 924 0.8× 320 0.6× 221 0.9× 56 0.3× 47 1.7k
Jennifer Lippincott‐Schwartz United States 8 1.3k 1.0× 1.1k 0.9× 139 0.3× 183 0.8× 129 0.6× 9 2.0k

Countries citing papers authored by Christine Sütterlin

Since Specialization
Citations

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

Fields of papers citing papers by Christine Sütterlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Sütterlin

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Sütterlin. A scholar is included among the top collaborators of Christine Sütterlin 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 Christine Sütterlin. Christine Sütterlin 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.
Tan, Ming, et al.. (2024). Chlamydia trachomatis induces disassembly of the primary cilium to promote the intracellular infection. PLoS Pathogens. 20(6). e1012303–e1012303. 1 indexed citations
2.
Tan, Ming, et al.. (2024). Development of an sRNA-mediated conditional knockdown system for Chlamydia trachomatis. mBio. 16(2). e0254524–e0254524.
3.
Tan, Ming, et al.. (2022). Differential Effects of Small Molecule Inhibitors on the Intracellular Chlamydia Infection. mBio. 13(4). e0107622–e0107622. 1 indexed citations
4.
Wang, Kevin, et al.. (2022). A Reverse Genetic Approach for Studying sRNAs in Chlamydia trachomatis. mBio. 13(4). e0086422–e0086422. 3 indexed citations
5.
Wang, Kevin, et al.. (2021). The Small Molecule H89 Inhibits Chlamydia Inclusion Growth and Production of Infectious Progeny. Infection and Immunity. 89(7). e0072920–e0072920. 5 indexed citations
6.
Enciso, Germán, Christine Sütterlin, Ming Tan, & Frederic Y. M. Wan. (2021). Stochastic Chlamydia Dynamics and Optimal Spread. Bulletin of Mathematical Biology. 83(4). 24–24. 4 indexed citations
7.
Wang, Kevin, et al.. (2019). Function of Golgi-centrosome proximity in RPE-1 cells. PLoS ONE. 14(4). e0215215–e0215215. 11 indexed citations
8.
Sütterlin, Christine, et al.. (2017). The daughter centriole controls ciliogenesis by regulating Neurl-4 localization at the centrosome. The Journal of Cell Biology. 216(5). 1287–1300. 30 indexed citations
9.
Enciso, Germán, Daniela Boassa, Frederic Y. M. Wan, et al.. (2017). Replication-dependent size reduction precedes differentiation in Chlamydia trachomatis. Nature Communications. 9(1). 45–45. 72 indexed citations
10.
Herrington, Kari A., Andrew L. Trinh, Carolyn Dang, et al.. (2017). Spatial analysis of Cdc42 activity reveals a role for plasma membrane–associated Cdc42 in centrosome regulation. Molecular Biology of the Cell. 28(15). 2135–2145. 14 indexed citations
11.
Colanzi, Antonino & Christine Sütterlin. (2013). Signaling at the Golgi During Mitosis. Methods in cell biology. 118. 383–400. 13 indexed citations
12.
Sütterlin, Christine, et al.. (2012). CPAF: A Chlamydial Protease in Search of an Authentic Substrate. PLoS Pathogens. 8(8). e1002842–e1002842. 97 indexed citations
13.
Kodani, Andrew, et al.. (2010). Par6α Interacts with the Dynactin Subunit p150Gluedand Is a Critical Regulator of Centrosomal Protein Recruitment. Molecular Biology of the Cell. 21(19). 3376–3385. 47 indexed citations
14.
Hasegawa, Ayako, et al.. (2009). Host Complement Regulatory Protein CD59 Is Transported to the Chlamydial Inclusion by a Golgi Apparatus-Independent Pathway. Infection and Immunity. 77(4). 1285–1292. 9 indexed citations
15.
Tan, Ming, et al.. (2009). Centrosome abnormalities during aChlamydia trachomatisinfection are caused by dysregulation of the normal duplication pathway. Cellular Microbiology. 11(7). 1064–1073. 35 indexed citations
16.
Kodani, Andrew, et al.. (2008). GM130-dependent Control of Cdc42 Activity at the Golgi Regulates Centrosome Organization. Molecular Biology of the Cell. 20(4). 1192–1200. 85 indexed citations
17.
Kodani, Andrew & Christine Sütterlin. (2007). The Golgi Protein GM130 Regulates Centrosome Morphology and Function. Molecular Biology of the Cell. 19(2). 745–753. 73 indexed citations
18.
Nakagomi, Saya, et al.. (2007). A Golgi fragmentation pathway in neurodegeneration. Neurobiology of Disease. 29(2). 221–231. 118 indexed citations
19.
Sütterlin, Christine, et al.. (2005). The Golgi-associated Protein GRASP65 Regulates Spindle Dynamics and Is Essential for Cell Division. Molecular Biology of the Cell. 16(7). 3211–3222. 113 indexed citations
20.
Sütterlin, Christine. (1997). Identification of a species-specific inhibitor of glycosylphosphatidylinositol synthesis. The EMBO Journal. 16(21). 6374–6383. 83 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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