Nadia Taouatas

789 total citations
9 papers, 539 citations indexed

About

Nadia Taouatas is a scholar working on Spectroscopy, Molecular Biology and Oncology. According to data from OpenAlex, Nadia Taouatas has authored 9 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Spectroscopy, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Nadia Taouatas's work include Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (7 papers) and Peptidase Inhibition and Analysis (3 papers). Nadia Taouatas is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (7 papers) and Peptidase Inhibition and Analysis (3 papers). Nadia Taouatas collaborates with scholars based in Netherlands, United States and Hungary. Nadia Taouatas's co-authors include Albert J. R. Heck, Shabaz Mohammed, Mădălina M. Drugan, Tokameh Mahmoudi, Hans Clevers, Vivian Li, Robert G.J. Vries, Ser Sue Ng, Maarten Altelaar and Andreas O. Helbig and has published in prestigious journals such as The EMBO Journal, Nature Methods and PLoS Biology.

In The Last Decade

Nadia Taouatas

9 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadia Taouatas Netherlands 8 418 230 99 35 32 9 539
Hongbo Gu United States 10 652 1.6× 131 0.6× 150 1.5× 35 1.0× 46 1.4× 14 828
Sharon Gauci Netherlands 8 475 1.1× 231 1.0× 129 1.3× 48 1.4× 51 1.6× 8 625
Margaret Soucheray United States 6 491 1.2× 100 0.4× 140 1.4× 25 0.7× 43 1.3× 9 650
Indy Chabra United States 4 433 1.0× 131 0.6× 106 1.1× 29 0.8× 59 1.8× 6 515
Alexander Hogrebe United States 6 584 1.4× 455 2.0× 60 0.6× 23 0.7× 49 1.5× 10 747
Ayşe Nur Polat Germany 7 345 0.8× 111 0.5× 63 0.6× 21 0.6× 82 2.6× 7 452
Danica Wiredja United States 7 295 0.7× 65 0.3× 65 0.7× 15 0.4× 41 1.3× 12 383
Armann Andaya United States 13 330 0.8× 111 0.5× 43 0.4× 96 2.7× 80 2.5× 20 504
Giulia Franciosa Denmark 11 252 0.6× 87 0.4× 82 0.8× 12 0.3× 39 1.2× 18 341
Thomas Menneteau France 10 337 0.8× 58 0.3× 53 0.5× 34 1.0× 50 1.6× 13 433

Countries citing papers authored by Nadia Taouatas

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Taouatas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Taouatas

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

All Works

9 of 9 papers shown
1.
Taouatas, Nadia, Shabaz Mohammed, & Albert J. R. Heck. (2011). Exploring New Proteome Space: Combining Lys-N Proteolytic Digestion and Strong Cation Exchange (SCX) Separation in Peptide-Centric MS-Driven Proteomics. Methods in molecular biology. 753. 157–167. 3 indexed citations
2.
Aye, Thin Thin, Arjen Scholten, Nadia Taouatas, et al.. (2010). Proteome-wide protein concentrations in the human heart. Molecular BioSystems. 6(10). 1917–1927. 62 indexed citations
3.
Mahmoudi, Tokameh, Sylvia F. Boj, Pantelis Hatzis, et al.. (2010). The Leukemia-Associated Mllt10/Af10-Dot1l Are Tcf4/β-Catenin Coactivators Essential for Intestinal Homeostasis. PLoS Biology. 8(11). e1000539–e1000539. 63 indexed citations
4.
Breukelen, Bas van, et al.. (2010). LysNDeNovo: An algorithm enabling de novo sequencing of Lys‐N generated peptides fragmented by electron transfer dissociation. PROTEOMICS. 10(6). 1196–1201. 8 indexed citations
5.
Taouatas, Nadia, Albert J. R. Heck, & Shabaz Mohammed. (2010). Evaluation of Metalloendopeptidase Lys-N Protease Performance under Different Sample Handling Conditions. Journal of Proteome Research. 9(8). 4282–4288. 32 indexed citations
6.
Mahmoudi, Tokameh, Vivian Li, Ser Sue Ng, et al.. (2009). The kinase TNIK is an essential activator of Wnt target genes. The EMBO Journal. 28(21). 3329–3340. 161 indexed citations
7.
Boersema, Paul J., Nadia Taouatas, Maarten Altelaar, et al.. (2008). Straightforward and de Novo Peptide Sequencing by MALDI-MS/MS Using a Lys-N Metalloendopeptidase. Molecular & Cellular Proteomics. 8(4). 650–660. 39 indexed citations
8.
Taouatas, Nadia, Maarten Altelaar, Mădălina M. Drugan, et al.. (2008). Strong Cation Exchange-based Fractionation of Lys-N-generated Peptides Facilitates the Targeted Analysis of Post-translational Modifications. Molecular & Cellular Proteomics. 8(1). 190–200. 65 indexed citations
9.
Taouatas, Nadia, Mădălina M. Drugan, Albert J. R. Heck, & Shabaz Mohammed. (2008). Straightforward ladder sequencing of peptides using a Lys-N metalloendopeptidase. Nature Methods. 5(5). 405–407. 106 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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