Marek Noga

1.2k total citations
27 papers, 856 citations indexed

About

Marek Noga is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Marek Noga has authored 27 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Spectroscopy and 5 papers in Organic Chemistry. Recurrent topics in Marek Noga's work include Glycosylation and Glycoproteins Research (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). Marek Noga is often cited by papers focused on Glycosylation and Glycoproteins Research (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). Marek Noga collaborates with scholars based in Netherlands, Poland and United States. Marek Noga's co-authors include Jerzy Silberring, Piotr Suder, Thomas Hankemeier, Anna Drabik, Anna Bierczyńska-Krzysik, Tomasz Dyląg, Anna Bodzoń‐Kułakowska, Michel D. Ferrari, Gisela M. Terwindt and Robin M. van Dongen and has published in prestigious journals such as Nature Communications, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Marek Noga

25 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Noga Netherlands 16 469 189 119 91 85 27 856
Roger G. Biringer United States 16 444 0.9× 190 1.0× 67 0.6× 40 0.4× 117 1.4× 26 829
Jérôme Vialaret France 22 647 1.4× 202 1.1× 116 1.0× 25 0.3× 393 4.6× 75 1.7k
Süreyya Özcan United Kingdom 20 622 1.3× 203 1.1× 76 0.6× 16 0.2× 49 0.6× 43 1.1k
Shen‐Nan Lin United States 16 173 0.4× 137 0.7× 41 0.3× 75 0.8× 90 1.1× 21 776
Alvydas Mikulskis United States 16 661 1.4× 221 1.2× 337 2.8× 50 0.5× 578 6.8× 30 1.5k
Wei‐De Lin Taiwan 17 459 1.0× 79 0.4× 85 0.7× 14 0.2× 70 0.8× 67 911
Sonja Groß United States 15 538 1.1× 78 0.4× 116 1.0× 17 0.2× 148 1.7× 23 998
Armand G. Ngounou Wetie United States 18 591 1.3× 294 1.6× 39 0.3× 17 0.2× 57 0.7× 37 947
Martin Hornshaw United Kingdom 20 1.3k 2.7× 366 1.9× 36 0.3× 20 0.2× 206 2.4× 28 1.8k
Edward A. Weinstein United States 14 557 1.2× 49 0.3× 70 0.6× 12 0.1× 67 0.8× 23 1.4k

Countries citing papers authored by Marek Noga

Since Specialization
Citations

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

Fields of papers citing papers by Marek Noga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Noga

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Noga. A scholar is included among the top collaborators of Marek Noga 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 Marek Noga. Marek Noga 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.
Rahm, M., et al.. (2024). Mixed-phase weak anion-exchange/reversed-phase LC–MS/MS for analysis of nucleotide sugars in human fibroblasts. Analytical and Bioanalytical Chemistry. 416(15). 3595–3604.
2.
Conte, Federica, Marek Noga, Monique van Scherpenzeel, et al.. (2023). Isotopic Tracing of Nucleotide Sugar Metabolism in Human Pluripotent Stem Cells. Cells. 12(13). 1765–1765. 6 indexed citations
3.
Conte, Federica, Angel Ashikov, Monique van Scherpenzeel, et al.. (2023). In Vitro Skeletal Muscle Model of PGM1 Deficiency Reveals Altered Energy Homeostasis. International Journal of Molecular Sciences. 24(9). 8247–8247. 6 indexed citations
4.
Pijnenborg, Johan F. A., Jona Merx, Marek Noga, et al.. (2021). Fluorinated rhamnosides inhibit cellular fucosylation. Nature Communications. 12(1). 7024–7024. 28 indexed citations
5.
Scherpenzeel, Monique van, Federica Conte, Christian Büll, et al.. (2021). Dynamic tracing of sugar metabolism reveals the mechanisms of action of synthetic sugar analogs. Glycobiology. 32(3). 239–250. 20 indexed citations
6.
7.
Pijnenborg, Johan F. A., et al.. (2020). Cellular Fucosylation Inhibitors Based on Fluorinated Fucose‐1‐phosphates**. Chemistry - A European Journal. 27(12). 4022–4027. 16 indexed citations
8.
Imholz, Nicole C. E., Marek Noga, Niels J. F. van den Broek, & Gregory Bokinsky. (2020). Calibrating the Bacterial Growth Rate Speedometer: A Re-evaluation of the Relationship Between Basal ppGpp, Growth, and RNA Synthesis in Escherichia coli. Frontiers in Microbiology. 11. 574872–574872. 16 indexed citations
9.
Noga, Marek, Ronald Zielman, Robin M. van Dongen, et al.. (2018). Strategies to assess and optimize stability of endogenous amines during cerebrospinal fluid sampling. Metabolomics. 14(4). 44–44. 8 indexed citations
10.
Shomar, Helena, et al.. (2018). Metabolic engineering of a carbapenem antibiotic synthesis pathway in Escherichia coli. Nature Chemical Biology. 14(8). 794–800. 22 indexed citations
11.
Kantae, Vasudev, Shinji Ogino, Marek Noga, et al.. (2016). Quantitative profiling of endocannabinoids and related N-acylethanolamines in human CSF using nano LC-MS/MS. Journal of Lipid Research. 58(3). 615–624. 37 indexed citations
12.
Scott, Andrew D., et al.. (2016). Cell-Free Phospholipid Biosynthesis by Gene-Encoded Enzymes Reconstituted in Liposomes. PLoS ONE. 11(10). e0163058–e0163058. 78 indexed citations
13.
Dongen, Robin M. van, Ronald Zielman, Marek Noga, et al.. (2016). Migraine biomarkers in cerebrospinal fluid: A systematic review and meta-analysis. Cephalalgia. 37(1). 49–63. 119 indexed citations
14.
Lankhorst, Peter P., R. A. M. van der Hoeven, Olaf Schouten, et al.. (2014). A Non-Canonical NRPS Is Involved in the Synthesis of Fungisporin and Related Hydrophobic Cyclic Tetrapeptides in Penicillium chrysogenum. PLoS ONE. 9(6). e98212–e98212. 39 indexed citations
15.
Noga, Marek, et al.. (2014). Integrated workflow for quantitative phosphoproteomic analysis of the selected brain structures in development of morphine dependence. Pharmacological Reports. 66(6). 1003–1010. 2 indexed citations
16.
Bierczyńska-Krzysik, Anna, Anna Drabik, Marek Noga, et al.. (2006). Rat brain proteome in morphine dependence. Neurochemistry International. 49(4). 401–406. 38 indexed citations
17.
Bodzoń‐Kułakowska, Anna, Anna Bierczyńska-Krzysik, Tomasz Dyląg, et al.. (2006). Methods for samples preparation in proteomic research. Journal of Chromatography B. 849(1-2). 1–31. 157 indexed citations
18.
Noga, Marek, Arndt Asperger, & Jerzy Silberring. (2006). N‐terminal H 3 /D 3 ‐acetylation for improved high‐throughput peptide sequencing by matrix‐assisted laser desorption/ionization mass spectrometry with a time‐of‐flight/time‐of‐flight analyzer. Rapid Communications in Mass Spectrometry. 20(12). 1823–1827. 17 indexed citations
19.
20.
Adamski, Andrzej, Małgorzata Barańśka, Anna Bodzoń‐Kułakowska, et al.. (2005). Wybrane metody spektroskopii i spektrometrii molekularnej w analizie strukturalnej. Jagiellonian University Repository (Jagiellonian University).

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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