Erik Prell

527 total citations
25 papers, 419 citations indexed

About

Erik Prell is a scholar working on Molecular Biology, Organic Chemistry and Physiology. According to data from OpenAlex, Erik Prell has authored 25 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Organic Chemistry and 5 papers in Physiology. Recurrent topics in Erik Prell's work include Carbohydrate Chemistry and Synthesis (10 papers), Glycosylation and Glycoproteins Research (6 papers) and Signaling Pathways in Disease (6 papers). Erik Prell is often cited by papers focused on Carbohydrate Chemistry and Synthesis (10 papers), Glycosylation and Glycoproteins Research (6 papers) and Signaling Pathways in Disease (6 papers). Erik Prell collaborates with scholars based in Germany, United States and South Korea. Erik Prell's co-authors include René Csük, Miroslav Malešević, Matthias Weiwad, David M. Ferrari, Günter Fischer, Christian Drosten, Thomas F. Baumert, Javier Carbajo-Lozoya, Brigitte von Brunn and Yue Ma‐Lauer and has published in prestigious journals such as ACS Nano, Analytical Biochemistry and New Phytologist.

In The Last Decade

Erik Prell

23 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Prell Germany 13 213 96 78 46 43 25 419
Christopher C. Lai United States 13 165 0.8× 84 0.9× 105 1.3× 68 1.5× 26 0.6× 24 432
Pablo Ríos‐Marco Spain 14 289 1.4× 55 0.6× 51 0.7× 59 1.3× 36 0.8× 25 463
Jianbo Liu China 13 159 0.7× 61 0.6× 89 1.1× 83 1.8× 14 0.3× 43 423
Masahiro Yamauchi Japan 16 380 1.8× 39 0.4× 30 0.4× 41 0.9× 35 0.8× 53 694
Daniel Conole United Kingdom 17 498 2.3× 176 1.8× 151 1.9× 82 1.8× 24 0.6× 34 752
Terence Beghyn France 11 278 1.3× 33 0.3× 120 1.5× 64 1.4× 14 0.3× 15 465
Xiaohe Guo China 12 223 1.0× 86 0.9× 90 1.2× 69 1.5× 15 0.3× 32 445
Aline Vertut-Doı̈ Japan 12 232 1.1× 40 0.4× 41 0.5× 11 0.2× 49 1.1× 15 417
Junichi Taira Japan 12 210 1.0× 41 0.4× 37 0.5× 24 0.5× 69 1.6× 40 360
Mark E. Zupec United States 15 326 1.5× 61 0.6× 115 1.5× 91 2.0× 46 1.1× 18 546

Countries citing papers authored by Erik Prell

Since Specialization
Citations

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

Fields of papers citing papers by Erik Prell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Prell

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Prell. A scholar is included among the top collaborators of Erik Prell 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 Erik Prell. Erik Prell 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.
Gündel, Daniel, Erik Prell, Sven Sommerwerk, et al.. (2022). Evaluation of Betulinic Acid Derivatives as PET Tracers for Hypoxia-Induced Carbonic Anhydrase IX (CA IX) Expression. Advances in experimental medicine and biology. 1395. 275–280. 3 indexed citations
2.
Serbian, Immo, Erik Prell, Claudia Fischer, Hans‐Peter Deigner, & René Csük. (2021). n-Propyl 6-amino-2,6-dideoxy-2,2-difluoro-β-d-glucopyranoside is a good inhibitor for the β-galactosidase from E. coli. Medicinal Chemistry Research. 30(5). 1099–1107. 2 indexed citations
3.
Serbian, Immo, Erik Prell, Ahmed Al‐Harrasi, & René Csük. (2020). Stereoselective synthesis of alkyl pyranosides on a laboratory scale. Mediterranean Journal of Chemistry. 10(3). 269–276. 1 indexed citations
4.
Erdmann, Frank, Erik Prell, Günther Jahreis, Günter Fischer, & Miroslav Malešević. (2018). Screening for Selective Protein Inhibitors by Using the IANUS Peptide Array. ChemBioChem. 19(8). 789–792.
5.
Moţ, Augustin C., Erik Prell, Maria Klecker, et al.. (2017). Real‐time detection of N‐end rule‐mediated ubiquitination via fluorescently labeled substrate probes. New Phytologist. 217(2). 613–624. 32 indexed citations
6.
Gündel, Daniel, et al.. (2017). Assessing Glomerular Filtration in Small Animals Using [68Ga]DTPA and [68Ga]EDTA with PET Imaging. Molecular Imaging and Biology. 20(3). 457–464. 14 indexed citations
7.
Schümann, Michael, Christian Ihling, Erik Prell, et al.. (2016). Identification of low abundance cyclophilins in human plasma. PROTEOMICS. 16(21). 2815–2826. 8 indexed citations
8.
Trischler, Jordis, et al.. (2015). Elevated exhaled leukotriene B4 in the small airway compartment in children with asthma. Annals of Allergy Asthma & Immunology. 114(2). 111–116. 19 indexed citations
9.
Carbajo-Lozoya, Javier, Yue Ma‐Lauer, Miroslav Malešević, et al.. (2014). Human coronavirus NL63 replication is cyclophilin A-dependent and inhibited by non-immunosuppressive cyclosporine A-derivatives including Alisporivir. Virus Research. 184. 44–53. 107 indexed citations
10.
Prell, Erik, et al.. (2014). Assessment of cell death studies by monitoring hydrogen peroxide in cell culture. Analytical Biochemistry. 456. 22–24. 13 indexed citations
11.
Kumar, Senthil T., Jessica Meinhardt, Tobias Aumüller, et al.. (2014). Structure and Biomedical Applications of Amyloid Oligomer Nanoparticles. ACS Nano. 8(11). 11042–11052. 25 indexed citations
12.
Weiwad, Matthias, et al.. (2013). ERp29 deficiency affects sensitivity to apoptosis via impairment of the ATF6–CHOP pathway of stress response. APOPTOSIS. 19(5). 801–815. 53 indexed citations
13.
Malešević, Miroslav, Erik Prell, C Klein, et al.. (2013). Anti-inflammatory Effects of Extracellular Cyclosporins Are Exclusively Mediated by CD147. Journal of Medicinal Chemistry. 56(18). 7302–7311. 48 indexed citations
14.
Prell, Erik, et al.. (2012). Fine Tuning the Inhibition Profile of Cyclosporine A by Derivatization of the MeBmt Residue. ChemBioChem. 14(1). 63–65. 18 indexed citations
15.
Csük, René, et al.. (2011). An Efficient Synthesis of the Glycosidase Inhibitor 1,6-Dideoxy-6,6-difluoronojirimycin. Zeitschrift für Naturforschung B. 66. 837–837.
16.
Prell, Erik, et al.. (2010). Amplification of the Inhibitory Activity and Reversal of the Selectivity of Miglitol by C(2′)‐Monofluorination. Archiv der Pharmazie. 343(10). 583–589. 12 indexed citations
17.
Csük, René & Erik Prell. (2010). Difluorotetrahydropyridothiazinone: A Selective β‐Galactosidase Inhibitor. Archiv der Pharmazie. 343(10). 577–582. 3 indexed citations
18.
Prell, Erik & René Csük. (2009). Amplification of the inhibitory activity of miglitol by monofluorination. Bioorganic & Medicinal Chemistry Letters. 19(19). 5673–5674. 17 indexed citations
19.
Csük, René, et al.. (2009). Total synthesis of 3,3-difluorinated 1-deoxynojirimycin analogues. Tetrahedron. 66(2). 467–472. 12 indexed citations
20.
Biniek, R., et al.. (1988). [EEG changes in HIV infections].. PubMed. 59(3). 143–6. 5 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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