Jürgen Deka

727 total citations
9 papers, 586 citations indexed

About

Jürgen Deka is a scholar working on Molecular Biology, Oncology and Immunology and Allergy. According to data from OpenAlex, Jürgen Deka has authored 9 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology and Allergy. Recurrent topics in Jürgen Deka's work include Wnt/β-catenin signaling in development and cancer (4 papers), Cell Adhesion Molecules Research (3 papers) and Cancer-related gene regulation (2 papers). Jürgen Deka is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (4 papers), Cell Adhesion Molecules Research (3 papers) and Cancer-related gene regulation (2 papers). Jürgen Deka collaborates with scholars based in United Kingdom, Switzerland and Germany. Jürgen Deka's co-authors include Aleksandar Ívetic, Anne J. Ridley, Ann Ager, Oliver Müller, Jürgen Kuhlmann, Michel Aguet, Sven Eyckerman, Monica Belich, Steven Howell and Stephen J. Smerdon and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Jürgen Deka

9 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jürgen Deka United Kingdom	8	408	140	124	119	111	9	586
Christa Prange United States	8	648 1.6×	158 1.1×	81 0.7×	128 1.1×	172 1.5×	10	909
Kristina Holmqvist Sweden	7	499 1.2×	99 0.7×	47 0.4×	125 1.1×	168 1.5×	8	608
M Fukumoto Japan	6	709 1.7×	195 1.4×	215 1.7×	60 0.5×	83 0.7×	7	910
Kyle Draheim United States	15	518 1.3×	138 1.0×	113 0.9×	76 0.6×	81 0.7×	22	890
Egle Balciunaite United States	9	616 1.5×	187 1.3×	86 0.7×	50 0.4×	71 0.6×	10	843
Jane R. Giblin United States	13	338 0.8×	166 1.2×	78 0.6×	158 1.3×	200 1.8×	16	715
Arkadiusz Welman United Kingdom	15	312 0.8×	126 0.9×	62 0.5×	50 0.4×	53 0.5×	17	571
Anne Vehlow Germany	13	324 0.8×	146 1.0×	204 1.6×	170 1.4×	86 0.8×	25	752
Arnaud Descot Germany	9	289 0.7×	152 1.1×	74 0.6×	53 0.4×	90 0.8×	9	473
Jana Bodorova United States	7	470 1.2×	114 0.8×	194 1.6×	235 2.0×	75 0.7×	7	713

Countries citing papers authored by Jürgen Deka

Since Specialization

Citations

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

Fields of papers citing papers by Jürgen Deka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Deka

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Deka. A scholar is included among the top collaborators of Jürgen Deka 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 Jürgen Deka. Jürgen Deka 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

Rzeniewicz, Karolina, Melanie König, Carsten Schroer, et al.. (2019). Serine Phosphorylation of L-Selectin Regulates ERM Binding, Clustering, and Monocyte Protrusion in Transendothelial Migration. Frontiers in Immunology. 10. 2227–2227. 5 indexed citations

Moor, Andreas E., Pascale Anderle, Claudio Cantù, et al.. (2015). BCL9/9L-β-catenin Signaling is Associated With Poor Outcome in Colorectal Cancer. EBioMedicine. 2(12). 1932–1943. 44 indexed citations

Deka, Jürgen, Norbert Wiedemann, Pascale Anderle, et al.. (2010). Bcl9/Bcl9l Are Critical for Wnt-Mediated Regulation of Stem Cell Traits in Colon Epithelium and Adenocarcinomas. Cancer Research. 70(16). 6619–6628. 102 indexed citations

Brack, Andrew S., Jürgen Deka, Sven Eyckerman, et al.. (2009). BCL9 is an essential component of canonical Wnt signaling that mediates the differentiation of myogenic progenitors during muscle regeneration. Developmental Biology. 335(1). 93–105. 75 indexed citations

Ívetic, Aleksandar, Oliver Florey, Jürgen Deka, et al.. (2004). Mutagenesis of the Ezrin-Radixin-Moesin Binding Domain of L-selectin Tail Affects Shedding, Microvillar Positioning, and Leukocyte Tethering. Journal of Biological Chemistry. 279(32). 33263–33272. 66 indexed citations

Deka, Jürgen, V. S. Lang, Monica Belich, et al.. (2003). NF-κB1 p105 Negatively Regulates TPL-2 MEK Kinase Activity. Molecular and Cellular Biology. 23(14). 4739–4752. 99 indexed citations

Ívetic, Aleksandar, Jürgen Deka, Anne J. Ridley, & Ann Ager. (2002). The Cytoplasmic Tail of L-selectin Interacts with Members of the Ezrin-Radixin-Moesin (ERM) Family of Proteins. Journal of Biological Chemistry. 277(3). 2321–2329. 83 indexed citations

Deka, Jürgen, Peter Herter, Markus Sprenger‐Haussels, et al.. (1999). The APC protein binds to A/T rich DNA sequences. Oncogene. 18(41). 5654–5661. 40 indexed citations

Deka, Jürgen, Jürgen Kuhlmann, & Oliver Müller. (1998). A domain within the tumor suppressor protein APC shows very similar biochemical properties as the microtubule‐associated protein tau. European Journal of Biochemistry. 253(3). 591–597. 72 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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