Koen Temmerman

876 total citations
18 papers, 667 citations indexed

About

Koen Temmerman is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Koen Temmerman has authored 18 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Cell Biology and 3 papers in Physiology. Recurrent topics in Koen Temmerman's work include Cellular transport and secretion (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Koen Temmerman is often cited by papers focused on Cellular transport and secretion (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Koen Temmerman collaborates with scholars based in Germany, Norway and Belgium. Koen Temmerman's co-authors include Walter Nickel, Matthias Seedorf, Hans‐Michael Müller, Ebru Ercan, René De Mot, Annabel Parret, Ulrike Engel, Frank Momburg, Antje Ebert and Ivo Tews and has published in prestigious journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Biochemical and Biophysical Research Communications.

In The Last Decade

Koen Temmerman

18 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koen Temmerman Germany 11 468 220 104 89 87 18 667
Seong‐Hwan Rho South Korea 18 785 1.7× 254 1.2× 53 0.5× 23 0.3× 33 0.4× 45 978
Hatim Jawhari Switzerland 4 634 1.4× 543 2.5× 72 0.7× 24 0.3× 27 0.3× 5 824
Barry P. Young Canada 17 1.1k 2.4× 554 2.5× 19 0.2× 58 0.7× 47 0.5× 26 1.3k
Curtis Schauder United States 8 543 1.2× 350 1.6× 29 0.3× 37 0.4× 88 1.0× 9 732
Nesia A. Zurek United States 5 445 1.0× 382 1.7× 20 0.2× 48 0.5× 25 0.3× 10 675
Sumana Raychaudhuri United States 15 1.1k 2.4× 707 3.2× 26 0.3× 98 1.1× 60 0.7× 29 1.5k
Alenka Čopič France 22 1.2k 2.6× 721 3.3× 20 0.2× 160 1.8× 57 0.7× 33 1.6k
Agnès H. Michel Switzerland 12 847 1.8× 292 1.3× 15 0.1× 47 0.5× 21 0.2× 17 1.0k
Gil Kanfer Switzerland 10 566 1.2× 269 1.2× 13 0.1× 65 0.7× 39 0.4× 11 757
Barbara Hauert Switzerland 8 168 0.4× 153 0.7× 54 0.5× 35 0.4× 39 0.4× 11 372

Countries citing papers authored by Koen Temmerman

Since Specialization
Citations

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

Fields of papers citing papers by Koen Temmerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koen Temmerman

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

All Works

18 of 18 papers shown
1.
Vooght, Linda De, Koen Augustyns, Sergei V. Strelkov, et al.. (2024). A high-throughput target-based screening approach for the identification and assessment of Mycobacterium tuberculosis mycothione reductase inhibitors. Microbiology Spectrum. 12(3). e0372323–e0372323. 3 indexed citations
2.
Doijen, Jordi, Inha Heo, Koen Temmerman, et al.. (2023). A flexible, image-based, high-throughput platform encompassing in-depth cell profiling to identify broad-spectrum coronavirus antivirals with limited off-target effects. Antiviral Research. 222. 105789–105789. 1 indexed citations
3.
Gerner, Lisa, Koen Temmerman, Hüseyin Besir, et al.. (2016). Using the fluorescent properties of STO-609 as a tool to assist structure-function analyses of recombinant CaMKK2. Biochemical and Biophysical Research Communications. 476(2). 102–107. 3 indexed citations
4.
Temmerman, Koen, Juha Vahokoski, Haydyn D. T. Mertens, et al.. (2016). Death-Associated Protein Kinase Activity Is Regulated by Coupled Calcium/Calmodulin Binding to Two Distinct Sites. Structure. 24(6). 851–861. 19 indexed citations
5.
Gerner, Lisa, Koen Temmerman, Hüseyin Besir, et al.. (2016). Data for the co-expression and purification of human recombinant CaMKK2 in complex with calmodulin in Escherichia coli. Data in Brief. 8. 733–740. 3 indexed citations
6.
Temmerman, Koen, et al.. (2014). A PEF/Y Substrate Recognition and Signature Motif Plays a Critical Role in DAPK-Related Kinase Activity. Chemistry & Biology. 21(2). 264–273. 6 indexed citations
7.
Meyer, Christoph, Birgit Hoeger, Koen Temmerman, et al.. (2014). Development of Accessible Peptidic Tool Compounds To Study the Phosphatase PTP1B in Intact Cells. ACS Chemical Biology. 9(3). 769–776. 22 indexed citations
8.
Temmerman, Koen, et al.. (2013). Structural and functional diversity in the activity and regulation of DAPK‐related protein kinases. FEBS Journal. 280(21). 5533–5550. 32 indexed citations
9.
Steringer, Julia P., Stephanie Bleicken, Koen Temmerman, et al.. (2012). Phosphatidylinositol 4,5-Bisphosphate (PI(4,5)P2)-dependent Oligomerization of Fibroblast Growth Factor 2 (FGF2) Triggers the Formation of a Lipidic Membrane Pore Implicated in Unconventional Secretion. Journal of Biological Chemistry. 287(33). 27659–27669. 93 indexed citations
10.
Wang, Tao, Koen Temmerman, Britta Brügger, et al.. (2011). Phenotypic profiling of the human genome reveals gene products involved in plasma membrane targeting of SRC kinases. Genome Research. 21(11). 1955–1968. 8 indexed citations
11.
Temmerman, Koen, et al.. (2009). Binding of Plasma Membrane Lipids Recruits the Yeast Integral Membrane Protein Ist2 to the Cortical ER. Traffic. 10(8). 1084–1097. 43 indexed citations
12.
Ercan, Ebru, Frank Momburg, Ulrike Engel, et al.. (2009). A Conserved, Lipid‐Mediated Sorting Mechanism of Yeast Ist2 and Mammalian STIM Proteins to the Peripheral ER. Traffic. 10(12). 1802–1818. 111 indexed citations
13.
Temmerman, Koen & Walter Nickel. (2009). A novel flow cytometric assay to quantify interactions between proteins and membrane lipids. Journal of Lipid Research. 50(6). 1245–1254. 68 indexed citations
14.
Temmerman, Koen, et al.. (2009). An intrinsic quality-control mechanism ensures unconventional secretion of fibroblast growth factor 2 in a folded conformation. Journal of Cell Science. 122(18). 3322–3329. 36 indexed citations
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17.
Temmerman, Koen, Antje Ebert, Hans‐Michael Müller, et al.. (2008). A Direct Role for Phosphatidylinositol‐4,5‐bisphosphate in Unconventional Secretion of Fibroblast Growth Factor 2. Traffic. 9(7). 1204–1217. 99 indexed citations
18.
Parret, Annabel, Koen Temmerman, & René De Mot. (2005). Novel Lectin-Like Bacteriocins of Biocontrol Strain Pseudomonas fluorescens Pf-5. Applied and Environmental Microbiology. 71(9). 5197–5207. 75 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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