Jutta Schröder

417 total citations
10 papers, 342 citations indexed

About

Jutta Schröder is a scholar working on Immunology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Jutta Schröder has authored 10 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Jutta Schröder's work include Psoriasis: Treatment and Pathogenesis (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Whipple's Disease and Interleukins (3 papers). Jutta Schröder is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Whipple's Disease and Interleukins (3 papers). Jutta Schröder collaborates with scholars based in Germany, Austria and Canada. Jutta Schröder's co-authors include Jürgen Scheller, Doreen M. Floß, Manuel Franke, Joachim Grötzinger, Simone M. Mrotzek, Jens M. Moll, Stefan Rose‐John, Paul Baran, Birgit Strobl and Larissa Lamertz and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular Biology of the Cell.

In The Last Decade

Jutta Schröder

10 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jutta Schröder Germany 9 241 133 64 57 38 10 342
Derek V. Chan United States 9 153 0.6× 99 0.7× 99 1.5× 29 0.5× 30 0.8× 11 295
Regina Cheung United States 6 194 0.8× 66 0.5× 107 1.7× 23 0.4× 13 0.3× 7 349
Belinda Baltus Netherlands 9 185 0.8× 113 0.8× 95 1.5× 36 0.6× 9 0.2× 11 409
Zena Salih United Kingdom 7 107 0.4× 178 1.3× 54 0.8× 31 0.5× 19 0.5× 20 309
Mikhail Olferiev United States 6 260 1.1× 77 0.6× 115 1.8× 33 0.6× 9 0.2× 11 388
Shuntaro Oniki Japan 11 343 1.4× 234 1.8× 50 0.8× 36 0.6× 48 1.3× 13 437
Athalia R. Pyzer United States 9 200 0.8× 183 1.4× 156 2.4× 56 1.0× 18 0.5× 23 398
Connor H. Church United States 2 192 0.8× 181 1.4× 67 1.0× 41 0.7× 14 0.4× 2 357
Ellen J. van Gastel-Mol Netherlands 9 266 1.1× 139 1.0× 57 0.9× 171 3.0× 35 0.9× 12 442
Maude Guillot‐Delost France 12 319 1.3× 221 1.7× 90 1.4× 15 0.3× 33 0.9× 14 468

Countries citing papers authored by Jutta Schröder

Since Specialization
Citations

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

Fields of papers citing papers by Jutta Schröder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jutta Schröder

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

All Works

10 of 10 papers shown
1.
Moll, Jens M., et al.. (2020). Deciphering site 3 interactions of interleukin 12 and interleukin 23 with their cognate murine and human receptors. Journal of Biological Chemistry. 295(30). 10478–10492. 14 indexed citations
2.
Franke, Manuel, Jutta Schröder, Niloufar Monhasery, et al.. (2016). Human and Murine Interleukin 23 Receptors Are Novel Substrates for A Disintegrin and Metalloproteases ADAM10 and ADAM17. Journal of Biological Chemistry. 291(20). 10551–10561. 24 indexed citations
3.
Floß, Doreen M., Jutta Schröder, Larissa Lamertz, et al.. (2016). Defining the functional binding sites of interleukin 12 receptor β1 and interleukin 23 receptor to Janus kinases. Molecular Biology of the Cell. 27(14). 2301–2316. 38 indexed citations
4.
Floß, Doreen M., Jutta Schröder, Manuel Franke, & Jürgen Scheller. (2015). Insights into IL-23 biology: From structure to function. Cytokine & Growth Factor Reviews. 26(5). 569–578. 94 indexed citations
5.
Reif, Raymond, Nachiket Vartak, Jutta Schröder, et al.. (2015). Activated ErbB3 Translocates to the Nucleus via Clathrin-independent Endocytosis, Which Is Associated with Proliferating Cells. Journal of Biological Chemistry. 291(8). 3837–3847. 32 indexed citations
6.
Aparicio-Siegmund, Samadhi, Jens M. Moll, Juliane Lokau, et al.. (2014). Recombinant p35 from Bacteria Can Form Interleukin (IL-)12, but Not IL-35. PLoS ONE. 9(9). e107990–e107990. 27 indexed citations
7.
Schröder, Jutta, Jens M. Moll, Paul Baran, et al.. (2014). Non-Canonical Interleukin 23 Receptor Complex Assembly. Journal of Biological Chemistry. 290(1). 359–370. 37 indexed citations
8.
Floß, Doreen M., Simone M. Mrotzek, Jutta Schröder, et al.. (2013). Identification of Canonical Tyrosine-dependent and Non-canonical Tyrosine-independent STAT3 Activation Sites in the Intracellular Domain of the Interleukin 23 Receptor. Journal of Biological Chemistry. 288(27). 19386–19400. 54 indexed citations
9.
Orth, Ulrike, et al.. (1997). Molecular analysis of the L1CAM gene in patients with X-linked hydrocephalus demonstrates eight novel mutations and suggests non-allelic heterogeneity of the trait. American Journal of Medical Genetics. 71(3). 336–340. 18 indexed citations
10.

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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2026