Joost Schulte

1.2k total citations
9 papers, 883 citations indexed

About

Joost Schulte is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Joost Schulte has authored 9 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Joost Schulte's work include Barrier Structure and Function Studies (2 papers), Mitochondrial Function and Pathology (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Joost Schulte is often cited by papers focused on Barrier Structure and Function Studies (2 papers), Mitochondrial Function and Pathology (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Joost Schulte collaborates with scholars based in Canada and United States. Joost Schulte's co-authors include Vanessa J. Auld, Katharine J. Sepp, J. Troy Littleton, Ulrich Tepaß, Greg J. Beitel, Alexander Hirschi, Victoria Wu, Pengyu Hong, Chaohong Wu and Yun Song and has published in prestigious journals such as Journal of Neuroscience, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Joost Schulte

9 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joost Schulte Canada	9	533	472	269	125	121	9	883
Swati Banerjee United States	14	462 0.9×	387 0.8×	245 0.9×	122 1.0×	121 1.0×	27	905
Katarína Tiklová Sweden	14	753 1.4×	395 0.8×	162 0.6×	201 1.6×	102 0.8×	20	1.1k
Katharine J. Sepp United States	11	554 1.0×	533 1.1×	290 1.1×	108 0.9×	28 0.2×	12	943
Alejandra Kun Uruguay	15	393 0.7×	275 0.6×	151 0.6×	63 0.5×	101 0.8×	40	849
Kendal Broadie United States	12	761 1.4×	557 1.2×	496 1.8×	77 0.6×	37 0.3×	12	1.2k
Masaki Sone Japan	16	919 1.7×	552 1.2×	314 1.2×	64 0.5×	66 0.5×	33	1.3k
Νικόλαος Γιαγτζόγλου United States	16	568 1.1×	232 0.5×	154 0.6×	80 0.6×	70 0.6×	23	815
Robert K. K. Lee United States	12	736 1.4×	246 0.5×	235 0.9×	173 1.4×	102 0.8×	15	1.1k
Shahar Frechter Israel	18	369 0.7×	791 1.7×	144 0.5×	43 0.3×	43 0.4×	19	1.1k
Matthew G. Voas United States	13	790 1.5×	427 0.9×	302 1.1×	91 0.7×	129 1.1×	17	1.3k

Countries citing papers authored by Joost Schulte

Since Specialization

Citations

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

Fields of papers citing papers by Joost Schulte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joost Schulte

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

All Works

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9 of 9 papers shown

Schulte, Joost, Katharine J. Sepp, Chaohong Wu, Pengyu Hong, & J. Troy Littleton. (2011). High-Content Chemical and RNAi Screens for Suppressors of Neurotoxicity in a Huntington's Disease Model. PLoS ONE. 6(8). e23841–e23841. 42 indexed citations

Schulte, Joost & J. Troy Littleton. (2011). The biological function of the Huntingtin protein and its relevance to Huntington's Disease pathology.. PubMed. 5. 65–78. 145 indexed citations

Wu, Chaohong, Joost Schulte, Katharine J. Sepp, J. Troy Littleton, & Pengyu Hong. (2010). Automatic Robust Neurite Detection and Morphological Analysis of Neuronal Cell Cultures in High-content Screening. Neuroinformatics. 8(2). 83–100. 28 indexed citations

Schulte, Joost, Katharine J. Sepp, Ramón A. Jorquera, et al.. (2010). DMob4/Phocein Regulates Synapse Formation, Axonal Transport, and Microtubule Organization. Journal of Neuroscience. 30(15). 5189–5203. 32 indexed citations

Schulte, Joost, et al.. (2006). Gliotactin and Discs large form a protein complex at the tricellular junction of polarized epithelial cells inDrosophila. Journal of Cell Science. 119(21). 4391–4401. 33 indexed citations

Wu, Victoria, Joost Schulte, Alexander Hirschi, Ulrich Tepaß, & Greg J. Beitel. (2004). Sinuous is a Drosophila claudin required for septate junction organization and epithelial tube size control. The Journal of Cell Biology. 164(2). 313–323. 167 indexed citations

Schulte, Joost, Ulrich Tepaß, & Vanessa J. Auld. (2003). Gliotactin, a novel marker of tricellular junctions, is necessary for septate junction development in Drosophila . The Journal of Cell Biology. 161(5). 991–1000. 121 indexed citations

Sepp, Katharine J., Joost Schulte, & Vanessa J. Auld. (2001). Peripheral Glia Direct Axon Guidance across the CNS/PNS Transition Zone. Developmental Biology. 238(1). 47–63. 221 indexed citations

Sepp, Katharine J., Joost Schulte, & Vanessa J. Auld. (2000). Developmental dynamics of peripheral glia inDrosophila melanogaster. Glia. 30(2). 122–133. 94 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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